Alternatives to OM1

Savana is a clinical intelligence platform that utilizes artificial intelligence to convert unstructured text from electronic medical records into valuable real-world evidence through sophisticated natural language processing techniques. Launched in 2014, Savana has facilitated the structuring and examination of billions of clinical documents in various languages and regions, revealing insights that were previously obscured within healthcare data. Its EHRead NLP models drive tools for anonymization and pseudonymization, effectively managing both structured and unstructured data on a large scale, having processed over 35 million documents to date. By providing hospitals, researchers, and health systems with actionable, research-grade evidence, Savana supports precision medicine initiatives, conducts epidemiological studies, including predictive analyses related to COVID-19, and enhances broader clinical data strategies, solidifying its position as one of Europe's leading contributors to Health Economics and Outcomes Research (HEOR). Additionally, Savana's innovative approach continues to reshape the landscape of data analysis in healthcare, promoting more informed decision-making that can ultimately improve patient outcomes.

Altis Labs has unveiled Nota, a groundbreaking clinical information platform designed to expedite therapeutic research and development. By harnessing the power of AI, Nota can forecast patient outcomes based on imaging data, allowing sponsors to efficiently prioritize their most promising therapies. This innovative platform empowers researchers to effectively utilize clinical trial imaging data, gain access to predictive imaging biomarkers, and enhance R&D efforts on a larger scale. With Altis’ cloud-based software, which employs advanced deep learning techniques, biopharma companies can integrate detailed outcome predictions at the image, patient, and cohort levels, ultimately refining clinical trial design and boosting confidence in anticipating clinical endpoints. The insights generated by Nota have the potential to drastically shorten development timelines, reduce drug development expenses, and increase the chances of success across various therapeutic areas, paving the way for a new era in clinical research. As the demand for efficient drug development continues to rise, Nota stands out as a vital tool for the biopharmaceutical industry.

Microsoft Cloud for Healthcare serves as an all-encompassing platform aimed at revolutionizing the healthcare sector by utilizing AI-driven solutions, integrating data, and ensuring secure, interconnected experiences. This platform assists healthcare providers, payors, and life sciences entities in enhancing patient care, optimizing operations, and bolstering research efforts. It provides resources for protecting confidential information, streamlining clinical processes, and fostering better patient engagement. By harnessing actionable insights derived from integrated clinical and operational data, Microsoft Cloud for Healthcare empowers organizations in the healthcare field to achieve favorable results, boost efficiency, and lower expenses. Ultimately, this innovative platform is pivotal in shaping the future of healthcare delivery.

Enhancing the care quality and outcomes for individuals battling cancer necessitates a cooperative effort among healthcare providers, researchers, cancer institutions, and the patients themselves. Oncora's user-friendly software platform empowers all parties involved to gather and utilize real-world data, thereby facilitating informed healthcare decisions that prioritize patient welfare. Our solutions are specifically designed for healthcare professionals who are committed to advancing cancer treatment results. By simplifying workflows, alleviating documentation challenges, and optimizing care through smart software solutions, we enable a more efficient healthcare experience. Our intuitive tools allow for the capture and visualization of regulatory-grade real-world data, essential for informed decision-making. With sophisticated reporting capabilities, you can measure quality and enhance operations to elevate patient care. Engaging in rigorous clinical research alongside leading cancer care experts further reinforces our commitment. The intuitive, web-based software we offer is tailored to meet the needs of your cancer center, providing data and tools that expedite clinical breakthroughs and innovations. Ultimately, our mission is to transform cancer care through technology and collaboration, ensuring that patients receive the highest standard of care available.

Pharmaceutical companies require extensive genomic data to effectively implement precision medicine initiatives; however, they frequently rely on merely 10% of the available information for their decisions. Genomenon provides access to the complete dataset. Their Prodigy™ Patient Landscapes offer a streamlined and economical solution for natural history research, aiding the creation of therapies for rare diseases by deepening understanding of both retrospective and prospective health data. Utilizing an advanced AI-driven methodology, Genomenon conducts a thorough evaluation of each patient documented in the medical literature in a significantly reduced timeframe. Ensure you capture all relevant insights by exploring every genomic biomarker featured in published studies. Each scientific claim is substantiated by concrete evidence drawn from the medical literature, allowing researchers to uncover all genetic drivers and identify variants recognized as pathogenic in accordance with ACMG clinical standards, thereby enhancing the development process of targeted therapies. By leveraging this comprehensive approach, pharma companies can enhance their research effectiveness and ultimately improve patient outcomes.

Envision a transformative approach to care management that lowers healthcare expenses, reduces both admissions and readmissions, enhances star ratings and HEDIS metrics, and elevates health quality and outcomes through a mission-focused data platform driven by artificial intelligence. As the healthcare sector increasingly embraces value-based care, Health EM.AI emerges as a pioneer, redefining care management and enhancing care delivery through innovative data utilization and AI technology. By streamlining patient information from various care settings and leveraging AI/ML-driven predictive analytics, we equip healthcare organizations with actionable insights that significantly enhance care quality. Our approach ensures measurable improvements at the individual patient level, particularly within palliative and chronic care management workflows. The integration of unified patient 360 data across all care settings leads to meaningful advancements in star ratings, risk adjustment, and the effective closing of care gaps. Additionally, our localized healthcare models examine over 1,000 clinical and non-clinical variables based on geographical context, further refining the effectiveness of care. This comprehensive strategy not only fosters better patient outcomes but also encourages a more efficient healthcare ecosystem.

ConcertAI stands out as a prominent provider of AI-driven solutions within the healthcare sector, particularly in the field of oncology. Their core mission revolves around enhancing patient outcomes and expediting insights by leveraging top-tier real-world data, cutting-edge AI technologies, and deep scientific knowledge. The company presents an array of products and services aimed at improving both clinical research and patient care experiences. Their Real-World Data Products deliver extensive, customized datasets that cater to diverse research needs across various enterprises. By simplifying clinical trial processes, their digital trial solution ensures efficiency, while the Clinical Trial Optimization (CTO) platform employs extensive AI capabilities to refine the design and implementation of trials specifically in oncology and hematology. Additionally, in partnership with NeoGenomics, ConcertAI has introduced CTO-H, a software-as-a-service (SaaS) solution that concentrates on hematological malignancies, providing sophisticated research analytics and optimizing operational workflows. This integration of advanced technologies not only enhances research capabilities but also significantly contributes to the advancement of patient care in complex medical fields.

The Medical Imaging Suite from Google Cloud is crafted to revolutionize the way organizations handle imaging diagnostics by ensuring that imaging data is not only accessible but also interoperable and beneficial. This suite provides a secure, compliant, and fully managed service to oversee healthcare data in various formats such as FHIR, HL7v2, and DICOM, alongside unstructured text in natural language. Utilizing a cloud infrastructure simplifies the process of storing and sharing extensive collections of medical images that are prevalent in the healthcare sector, making it both efficient and economical. The Cloud Healthcare API facilitates operations to read DICOM instances, studies, and series in alignment with the DICOMweb standard. Furthermore, the suite enhances research capabilities and improves the overall patient experience in healthcare by providing comprehensive solutions for data storage and analysis, among other functionalities. Additionally, it offers guidance on concepts and best practices for the integration of third-party medical imaging viewers with the Cloud Healthcare API, ensuring a seamless experience for users. This holistic approach not only streamlines workflow but also fosters innovation in the medical imaging landscape.

Combine and liberate your disorganized health information through an interactive AI and NLP solution that provides valuable health insights for various stakeholders. This innovative technology serves Providers by hastening the data abstraction process and ensuring the clinical information validation found within notes, thus minimizing the time and costs associated with identifying care gaps, assessing the quality of care through dashboards, and producing registry reports. For Payers, it facilitates the integration and analysis of claims alongside clinical notes, enhancing the management of high-risk and high-cost member populations. In the realm of Life Sciences, this solution enables swift patient matching to clinical trials using databases alongside clinical note data, maximizing the potential of real-world clinical evidence. Ember offers a comprehensive approach that merges NLP with predictive analytics, streamlining healthcare analytics for unstructured data to boost quality, efficiency, and outcomes in the healthcare system. As a result, stakeholders can make informed decisions that lead to improved patient care and resource allocation.

At Genospace, we recognize that the evolution of precision medicine is being propelled by advancements in genomics, yet the challenge of effectively scaling its implementation remains unresolved. Our mission is to bridge this gap. Our innovative platform aims to transform biomedical data into valuable insights that are easily accessible for all, particularly for those actively involved in delivering care. Equip your clinicians and researchers with essential information that empowers them to make well-informed choices while participating in our goal of utilizing intricate molecular data to enhance patient outcomes and speed up the processes of drug development and research. In this context, the significance of large-scale population data for drug discovery and research cannot be overstated. Utilize cohort-driven analyses through the Genospace platform to support your research initiatives. We have a strong focus on clinical trial research, enabling the Genospace platform to seamlessly align fragmented patient information with intricate trial requirements, thus facilitating quicker patient recruitment. Furthermore, our platform is designed to integrate genomic medicine into standard clinical care practices, making it easier than ever to harness the power of genomics in everyday healthcare. Together, we can push the boundaries of what’s possible in patient care and research.

Our worldwide data-sharing network produces actionable clinical insights from data aimed at enhancing patient outcomes on a global scale. SOPHiA GENETICS is dedicated to shaping the future of AI-enhanced medicine. By integrating various healthcare-omics data types, we are dismantling existing data barriers and creating machine learning models that yield insights capable of aiding healthcare professionals in elevating patient care. The updated interface, along with new features and advanced functionalities, will further expedite precision medicine workflows, bringing us closer to making data-driven healthcare accessible to all. Utilizing the power of AI and machine learning (ML), our cloud-based platform offers a secure and easily accessible space for the standardization, computation, and analysis of digital health data, which generates insights from intricate multimodal data sets that can significantly enhance diagnostic processes, therapy choices, analytical methods, and drug development initiatives. Moreover, our continuous evolution reflects our commitment to innovation in the healthcare sector.

Transform your healthcare experience with the revolutionary Soliton® AI, which is powered by 30,000 evidence-based rules and advanced machine learning techniques. By automating various healthcare and care management functions, Soliton® equips you with the tools necessary to thrive in a value-based care environment, offering unmatched capabilities. It efficiently analyzes vast amounts of patient data in real-time, leading to enhancements in both clinical outcomes and financial performance, while also supporting a range of Alternative Payment Models (APMs). The solution boosts the effectiveness of telehealth by forecasting billable codes during patient interactions and predicting future healthcare costs through sophisticated risk stratification models. Furthermore, it provides timely clinical decision support to assist in managing intricate patient populations. Soliton® optimizes the patient journey, facilitating seamless transitions from acute to post-acute care through AI-driven care coordination. Moreover, it identifies care gaps, uncovers service and coding opportunities, and generates tailored patient assessments and personalized care plans, while also enabling the creation of custom cohorts for targeted interventions. As a result, Soliton® not only enhances operational efficiency but also elevates the overall quality of patient care.

Healthcare providers and pharmaceutical firms leverage RetinAI's software platform to effectively manage their data while benefiting from enhanced insights through automated AI analysis, thereby optimizing both clinical and research workflows. This unified data platform allows users to access and manage their information from any location at any time. It supports a variety of formats, including DICOM-compliant and proprietary types. By utilizing AI, data is harmonized, organized, aggregated, and analyzed on a large scale to uncover insights related to disease progression, treatment outcomes, and predictions of disease advancement. Additionally, the platform facilitates collaborative research within organizations by providing secure cloud-based access to data. It serves as a central hub for data, medical, and digital teams. Users can conduct AI-driven analysis on their OCT volumes, focusing on layer and fluid segmentation. Immediate evaluations can be performed to consolidate insights into a single platform. Collaborators can be swiftly invited to access and interact with datasets according to specified permission levels, fostering a more integrated research environment. This comprehensive approach not only streamlines data management but also enhances collaborative efforts across different teams and disciplines.

HeartFlow offers a groundbreaking, non-invasive cardiac test that delivers detailed visualizations of individual coronary arteries, allowing doctors to develop more tailored treatment strategies for their patients. The process begins when a patient has a standard coronary computed tomography scan performed at a medical facility. Following this scan, the CT images are securely sent to our cloud-based system. Utilizing cutting-edge algorithms powered by artificial intelligence, we create a customized digital representation of the patient's coronary arteries. Our skilled analysts then review this model, making necessary adjustments to ensure accuracy. After finalizing the patient-specific model, the HeartFlow pathway employs physiological principles and computational fluid dynamics to analyze blood flow and compute FFRCT values throughout the model. We adhere to strict and well-established protocols throughout this entire process, ensuring uniform processing for every individual patient, which ultimately enhances the quality of care provided. This innovative approach not only improves diagnostic precision but also empowers healthcare providers to make informed decisions for optimal patient outcomes.

Health Studio™ provides an innovative, all-encompassing AI platform that brings together patient care, clinical research, and remote monitoring into one cohesive system. By effectively linking wearables, medical instruments, and patient information, it offers immediate insights, optimizes workflows, and improves health outcomes, thus revolutionizing healthcare into a more interconnected and data-centric journey. This advancement not only benefits healthcare providers but also empowers patients through better access to their health information.

Gesund stands as the pioneering compliant AI factory dedicated to facilitating the introduction of clinical-grade AI solutions into the market. In order to meet regulatory standards, our platform meticulously audits and validates third-party medical AI solutions, ensuring their safety, effectiveness, and fairness. Gesund seamlessly manages the entire AI/ML lifecycle for all participants by integrating models, data, and expertise within a user-friendly no-code environment. We offer standardized, cohesive, and diverse data tailored to meet your machine learning requirements and regulatory obligations. By evaluating the validation needs of models, Gesund.ai supplies an optimal combination of high-quality data sourced from its extensive network of clinical partners. Model owners can share their clinical studies with Gesund.ai to curate the necessary datasets, subsequently uploading their models onto Gesund.ai's federated validation platform, which can be situated on hospital premises or within a private cloud. Each model undergoes evaluation against a validation dataset that has been specifically curated on the hospital side, ensuring that the results are relevant and reliable, ultimately enhancing the quality of healthcare solutions. Through this comprehensive approach, Gesund not only supports compliance but also accelerates the path to effective AI deployment in clinical settings.

Alife’s advanced AI software is designed to enhance clinic operations, leading to better patient outcomes, greater efficiency, and an improved overall experience for patients. The Alife Assist platform is customizable to support clinic staff in making informed decisions based on data analysis. By integrating smoothly with electronic medical records (EMR), Alife’s AI swiftly transforms raw data into practical insights. It also aims to maximize the retrieval of mature oocytes from ovarian stimulation cycles. This suite of products is created to empower all clinic personnel, ensuring that every team member can contribute effectively. Furthermore, it standardizes the embryo grading process while enhancing quality control and record management. Real-time monitoring of clinic key performance indicators (KPIs) boosts operational efficiency, saving valuable time and reducing costs. Research indicates that interpretable machine learning models perform comparably to embryologists when it comes to selecting optimal embryos for IVF transfer, showcasing their potential utility in clinical settings. Additionally, the study highlights that AI-driven insights might assist in fine-tuning the timing of ovulation trigger injections, potentially leading to improved outcomes for patients undergoing IVF treatments. Overall, this innovative approach represents a significant leap forward in reproductive health technology.

DrugCard is an advanced data intelligence platform that leverages artificial intelligence to enhance the efficiency of pharmacovigilance by automating the screening of local literature. Supporting over 100 languages, it actively monitors more than 1,000 medical journals in over 55 countries, ensuring thorough, ongoing, and transparent oversight. By automating repetitive tasks, DrugCard allows Contract Research Organizations (CROs) to handle a greater number of pharmacovigilance projects while improving the quality of their screening results. Additionally, Marketing Authorization Holders (MAHs) can perform in-house literature screening more efficiently, and freelancers can reclaim as much as 70% of their time, which can then be directed towards more valuable activities. The platform is built to be adaptable to new markets, affordable, and in line with regulatory standards, thus offering a well-rounded solution for drug safety departments. Its innovative features not only optimize processes but also empower organizations to prioritize safety and compliance in their operations.

ONEai Health provides a state-of-the-art clinical surveillance platform that consolidates biometric information from smart wearables and medical devices to keep track of patients, utilize AI for trend analysis, and send alerts if conditions start to deteriorate. Its innovative BIO-EYE system employs predictive analytics tailored to specific diseases, allowing for the early identification of health declines in individuals suffering from chronic illnesses like congestive heart failure, chronic obstructive pulmonary disease, diabetes, hypertension, and sepsis. This facilitates timely interventions and helps to minimize hospital admissions. The platform integrates real-time vital signs, including heart rate, SpO₂ levels, heart rate variability, stress levels, sleep patterns, and physical activity through tools like Apple HealthKit. Additionally, it offers easy access via a mobile application for patients and ensures secure data sharing with healthcare teams. By consistently monitoring the health progress of patients, ONEai Health empowers clinicians to take earlier action, enhance patient outcomes, reduce healthcare costs, and extend monitoring capabilities into recovery environments, long-term care facilities, and patients' homes, ultimately promoting overall health and well-being.

Cleerly is a pioneering digital health organization that is revolutionizing how healthcare professionals manage heart disease. Our innovative clinical technologies are designed to enable clinicians to detect and accurately characterize atherosclerosis at an earlier stage, allowing for the development of customized and potentially life-saving treatment strategies for patients throughout their healthcare journey. Rather than relying on indirect indicators like risk factors or symptoms, we focus on measuring atherosclerosis directly, which is the accumulation of plaque in the arteries of the heart. By utilizing our AI-driven digital care pathways, we provide streamlined, rapid, and precise diagnostics and reporting that cater to the needs of all stakeholders, leading to enhanced clinical and financial results. Cleerly equips healthcare providers to transcend conventional assessments of heart disease by thoroughly analyzing, characterizing, and quantifying various plaque types. This advanced approach enables clinicians to better assess a patient's likelihood of experiencing a heart attack and to formulate effective treatment plans that aim to enhance overall heart health, ultimately fostering improved patient outcomes and quality of care.

We are confident that Waveform AI has the potential to significantly enhance the healthcare landscape, and we are developing a platform designed to equip clinicians with essential information and support throughout the entire care continuum. Transforming healthcare truly requires collective effort, and to play our part in advancing the industry, we are publishing peer-reviewed research on AI to illustrate its benefits at every stage of the patient care experience. Our platform aims to assist providers in identifying individuals at high risk for sleep apnea by leveraging data from electronic medical records, waveforms, wearables, and various other sources, facilitating timely referrals for diagnosis. By utilizing this data, we can aid healthcare providers in pinpointing the most critical patients among the vast undiagnosed population, categorizing them based on their risk for adverse outcomes and potential healthcare costs. Additionally, we strive to streamline the diagnostic process for clinicians, enabling them to treat more patients efficiently and effectively by improving the overall quality and speed of sleep apnea diagnoses. In doing so, we hope to foster a healthier future for all patients.

Predoc has developed a comprehensive health information management platform that leverages artificial intelligence to automate the processes of retrieving, organizing, and analyzing patient records. This innovative system allows healthcare organizations to obtain records from any provider in the U.S., whether the sources are digital or manual, and it can provide fully integrated records in a matter of minutes or days by eliminating the delays associated with traditional workflows. By aggregating and indexing clinical data from various formats, such as PDFs, the platform transforms previously disorganized patient information into a structured format that complies with HIPAA regulations. Additionally, its AI, which is trained in clinical contexts, meticulously examines extensive patient files, highlighting the most pertinent clinical information essential for effective care delivery or research purposes. Users have noted remarkable improvements in efficiency, citing retrieval times that are up to 80% faster, a 70% reduction in time spent on chart reviews, and overall costs that are approximately 50% less compared to outdated solutions. The transformative capabilities of Predoc not only enhance operational speed but also significantly elevate the quality of patient care.

Medical AI represents a groundbreaking technological advancement that effectively tackles chronic illnesses. This innovative solution is distinguished by its capabilities to forecast outcomes, recommend optimal subsequent actions, and deliver information in a user-friendly manner. DeLorean Medical AI enhances human decision-making, paving the way for a future where both machines and humans collaboratively achieve superior results. Our technology not only enhances health outcomes but is also the first AI system to receive biological validation through independent clinical evaluations. By improving the classification of patient demographics, assessing risk factors, and forecasting transitions in disease states, Medical AI plays a crucial role in the early detection and diagnosis of various health conditions. Additionally, it contributes to cost reductions within healthcare systems. With over ten clients already utilizing our solution, it has proven effective in generating savings and reducing costs through real-time analytics that identify at-risk populations and provide next-best-action suggestions grounded in statistical evidence. Furthermore, as the healthcare landscape continues to evolve, the integration of such advanced technologies will become increasingly vital in ensuring better patient care and resource management.

EVIDENS is an advanced AI platform that facilitates the discovery of digital cohorts, enhances research capabilities, promotes collaboration, and enables the sharing of insights across extensive hospital data sets. With the ability to swiftly annotate and convert your data into AI-compatible formats, users can efficiently filter populations by various clinical outcomes or demographic factors. The platform allows for limitless keyword filtering by training AI models to perform targeted searches. Furthermore, users can explore and establish criteria for cohort identification with the support of intelligent AI tools. Training AI models to automate the analysis process and categorize data into distinct groups can be done quickly and efficiently. The platform outputs AI-ready cohorts to facilitate the testing of clinical hypotheses in research studies. Users can effortlessly monitor the status and tasks related to all their projects and collaborators, while also being able to observe and engage with activities aligned with their research interests. Additionally, collaborative tools are provided to enable simultaneous efforts in creating, training, and validating AI models, fostering a productive research environment. Ultimately, EVIDENS streamlines the entire research process, making it more efficient and effective for all involved.

At Enlitic, we believe that the power of artificial intelligence can transform healthcare by enabling effective data management and improving clinical workflows. Our mission at Enlitic is to intelligently manage healthcare data using the power of artificial intelligence to expand capacity and improve clinical workflows and create a foundation for a real-world evidence medical image database for healthcare providers. Through our Enlitic Framework, we aim to reimagine healthcare intelligence, enabling healthcare professionals to make informed decisions and provide personalized care to every patient.

Mamosis offers a cutting-edge AI-powered cancer diagnosis solution that accelerates and improves diagnostic accuracy by analyzing complex medical images and wellness metrics. The platform’s deep learning algorithms, developed with input from clinical experts, identify subtle patterns and anomalies that aid in early cancer detection. Mamosis delivers detailed, easy-to-interpret reports quickly, allowing clinicians to initiate timely interventions. The user-friendly interface streamlines the diagnostic process, enabling secure uploads and fast analysis, saving valuable time in clinical settings. With stringent data encryption and privacy protocols, patient information is protected at every step. Mamosis not only aids medical professionals but also empowers individuals by providing personalized health insights for proactive wellness management. The software integrates seamlessly into existing workflows, enhancing efficiency without disrupting daily operations. By fostering collaboration between AI and human expertise, Mamosis drives more accurate diagnoses and improved patient care.

Oncoustics is pioneering the development and application of innovative, patented AI technologies aimed at providing low-cost, non-invasive surveillance, diagnostics, and treatment monitoring for diseases that currently face significant clinical challenges. The company has developed a range of specialized applications focused on various diseases and anatomical structures that are compatible with any point-of-care ultrasound device, allowing physicians, nurses, and technicians to operate them as essential tools in a primary care setting without requiring image analysis. By leveraging AI, Oncoustics transforms affordable point-of-care ultrasound machines into robust diagnostic instruments capable of facilitating quick and economical identification and monitoring of conditions affecting the liver, prostate, kidney, breast, and thyroid. The multidisciplinary team behind Oncoustics consists of professionals with expertise in AI, signal processing, radiology, hepatology, digital health, and ultrasound, ensuring a comprehensive approach to healthcare innovation. The emphasis on cost-effective point-of-care diagnostics and surveillance significantly enhances patient outcomes through timely detection and consistent monitoring, which are crucial for effective disease management and better overall health. As such, Oncoustics is not only addressing immediate healthcare needs but is also setting the stage for a transformation in how we approach disease management in the future.

The expenses, intricacies, and lengthy timelines tied to traditional methods of evidence generation hinder the agile nature of research and the broader incorporation of genuine patient insights within treatment development and commercial processes. Our HyperStream serves as the largest real-time stream of patient experience data globally, documenting the genuine digital narratives of diseases as expressed by real patients on various online platforms. Pharos acts as a web-based tool for evidence generation and a research framework that leverages its combined data streaming and AI functionalities to effectively gather online patient experience data, allowing teams to swiftly uncover vital evidence when necessary. Thus far, the Pharos Suite has proven effective in generating valuable evidence and patient insights across a variety of therapeutic areas and medical conditions, demonstrating its versatility and impact on research practices. This innovative approach not only enhances the speed of evidence gathering but also enriches the understanding of patient experiences in real-time.

BIOiSIMTM represents a groundbreaking 'virtual drug development engine' that significantly enhances the drug development sector by effectively identifying drug compounds that are most likely to provide meaningful therapeutic benefits for various diseases or conditions. We provide an array of translational solutions that are tailored to meet the specific needs of your pre-clinical and clinical initiatives. Central to our offerings is the highly validated BIOiSIMTM platform, which supports the development of small molecules, large molecules, and viruses. This innovative platform is underpinned by extensive data derived from thousands of compounds across seven different species, resulting in a level of robustness that is uncommon in the field. Emphasizing human health outcomes, the heart of the platform features a translatability engine that seamlessly converts insights gained from different species. Importantly, the BIOiSIMTM platform can be deployed prior to the initiation of preclinical animal trials, facilitating earlier insights and potentially reducing the costs associated with outsourced experimentation. By integrating these advanced capabilities, we aim to streamline the drug development process and accelerate the journey from discovery to market.

HealthForce AI provides specialized AI agents that automate a variety of back-office operations within hospitals, encompassing tasks like scheduling, billing, procurement, and administrative processes, all while integrating seamlessly into established systems without the need for new interfaces or significant disruptions. These agents operate independently to carry out repetitive duties, allowing clinical staff to devote more time to patient care rather than paperwork. Tailored for secure and smooth implementation in healthcare environments, HealthForce’s technology is actively utilized in hospitals across Europe, enhancing workflow efficiency and alleviating administrative pressures. Additionally, HealthForce AI Agents improve the patient experience by automating essential front desk functions, such as appointment scheduling and insurance verification. Our approach allows hospitals to harness the advantages of AI through a performance-based model, guaranteeing return on investment and creating a solution that is both cost-effective and scalable. This innovative strategy not only addresses the immediate needs of healthcare providers but also positions them for future advancements in technology integration.

Transforming access to specialized cardiac care through cutting-edge AI and cloud solutions, Cardiologs offers a distinctive arrhythmia diagnostic platform that is both vendor-neutral and cloud-based, harnessing the power of Artificial Intelligence. This technology holds the potential to equip healthcare providers with smart tools while ensuring patients receive top-tier medical attention. The clinically validated algorithms developed by Cardiologs can identify over 20 different types of arrhythmia events. With a mission to make cardiology diagnostics more scalable and universally accessible, Cardiologs provides essential resources for clinicians worldwide to meet the growing demand for cardiac assessments. At Cardiologs, we cherish individuals driven by passion and enthusiasm for advancing medical technology. Our commitment stems from the knowledge that our innovations can significantly impact the lives of patients and healthcare professionals alike, inspiring us to strive for excellence daily. As pioneers in the field of medical-grade AI, we are dedicated to shaping the future of cardiac care through our relentless pursuit of innovation.

GenHealth.ai is a specialized generative AI platform designed for the healthcare sector, utilizing a unique Large Medical Model (LMM) developed from the analysis of over 100 million patient records instead of traditional natural language data. This LMM excels in interpreting medical codes and events, allowing it to accurately forecast patient outcomes, estimate costs, and model clinical pathways with significantly fewer errors compared to conventional large language models. The platform features a range of tailored applications such as Intake Automation for managing PDF routing and data extraction, a Prior Authorization Agent that automates the approval process, and G‑Mode analytics that allows users to interact with both historical and predictive population health data using natural language, all without requiring any coding expertise. Notably, this AI co-pilot has achieved an impressive 94% accuracy rate in prior authorization cases, a remarkable 120-fold enhancement in forecasting medical loss ratios, and a 110% improvement in cost predictions when compared to standard Hierarchical Condition Category (HCC) scoring methods. In addition to these advancements, GenHealth.ai is positioned to transform the healthcare landscape by facilitating more efficient and data-driven decision-making.

Lightbeam facilitates population health improvement by converting data insights into tangible outcomes, effectively bridging care gaps and reducing risks. This approach enhances both the quality of care and the overall quality of life for patients. By utilizing its robust population health management platform, Lightbeam integrates various data sources to create a comprehensive 360-degree view of patients, which is essential for maximizing the benefits of value-based care. In the contemporary landscape of value-based care, effective risk management hinges on data-driven intelligence. Lightbeam's innovative platform consolidates patient information in unique ways, enabling the strategic application of relevant data precisely when it is needed. The impact of Lightbeam extends beyond just altering how clients navigate value-based care; it has been instrumental in generating significant financial benefits, having saved clients over 2 billion dollars since its inception in 2014, and its journey is only beginning. Furthermore, Lightbeam's technology-enabled services approach effortlessly complements these initiatives, providing additional support to enhance client outcomes. As a result, organizations that partner with Lightbeam are equipped to achieve remarkable advancements in their population health strategies.

Altris AI is an advanced, cloud-based clinical decision support system powered by artificial intelligence, specifically tailored to aid eye care professionals in interpreting OCT scans and making informed decisions. The platform streamlines the identification of pathological OCT scans while recognizing over 70 retina-related pathologies and biomarkers, which include some that are quite uncommon. Features of the system encompass severity detection, analysis of retina layer thickness, layer segmentation, and both automatic and manual measurement capabilities. It is designed to work seamlessly with all OCT devices and accommodates various data formats like DICOM, JPEG, and PNG. Furthermore, Altris AI has received FDA clearance, CE certification, and is compliant with GDPR and HIPAA regulations, thereby upholding rigorous standards for data security and patient confidentiality. By integrating this innovative tool into their practices, eye care professionals can significantly enhance patient triage, improve diagnostic precision, and more effectively track the progression of diseases over time. As a result, the adoption of Altris AI not only streamlines workflows but also elevates the overall quality of patient care in eye health.

Arterys is an innovative medical imaging AI platform that seamlessly integrates advanced AI clinical applications into your existing PACS or EHR workflows, making it an intuitive extension of your current practices. Our goal is to bring AI into the forefront by enhancing physician experiences, improving diagnostic accuracy and treatment efficacy, optimizing financial outcomes, and providing significant benefits for both patients and healthcare providers. Accessible from any validated device through the cloud, it offers rapid performance and easy deployment without the exchange of PHI, ensuring complete security. Fully connected to PACS, RIS, EMR, and dictation software, Arterys enhances your workflow without disruption. Its rapid deployment capabilities require minimal on-premise infrastructure, and it is commercially available in more than 100 countries. The platform's elastic cloud GPU architecture significantly boosts the performance of various tasks, such as rendering complex 3D files, handling large multi-dimensional datasets, and executing multiple AI applications simultaneously in real time. Additionally, features like pre-fetching and image caching contribute to quicker loading times and more efficient analysis, making it an indispensable tool in modern healthcare. This comprehensive approach positions Arterys as a leader in transforming medical imaging through artificial intelligence.

Engage with a medical-focused generative AI that not only elucidates its responses but also cites relevant references, refreshes its medical knowledge on a daily basis, and allows users to personalize and select knowledge bases. This AI comes equipped with a pre-loaded database and has been trained using over 2,300 reference datasets put together by experts in the medical field, encompassing a wide array of terminologies, medical research, clinical trials, patents, population health insights, costs, as well as public and regulatory information. It indexes numerous sources of medical research and data, ensuring a comprehensive understanding of the available information. The system is designed to receive daily updates on the latest medical findings, clinical trial results, and evolving terminologies, making it capable of processing vast quantities of documents, potentially reaching into the millions or billions. Moreover, the cluster can be scaled according to specific requirements. As a type of conversational AI, a medical chatbot employs natural language processing (NLP) technologies to communicate with users, delivering valuable medical information, guidance, or assistance. These chatbots serve various functions, including addressing general inquiries regarding diseases, health concerns, and available treatment options, thus enhancing the accessibility of medical knowledge for users everywhere.

HIPAA-compliant AI chat solutions, API access, and enterprise-grade tools—powered by Anthropic’s Claude—Hathr AI enables healthcare providers, insurers, and professionals handling HIPAA-regulated data to streamline workflows while maintaining strict data security. Built within AWS GovCloud’s FedRAMP High environment, Hathr AI ensures all data interactions remain private and safeguarded from unauthorized access. Users can automate key processes like patient note summarization, pre-authorization drafting, and insurance claim submissions, all within a secure and intuitive platform. By leveraging advanced models such as Claude 3.5 Sonnet, Hathr AI delivers a private AI environment tailored for HIPAA compliance. Teams can efficiently extract and summarize data from complex medical records, supporting more informed clinical and administrative decisions.

ZAIDYN is a cutting-edge, cloud-based platform crafted by ZS aimed at transforming the life sciences sector. This innovative tool combines sophisticated analytics, machine learning capabilities, and smart workflows to help organizations streamline their processes in research and development, commercialization, and patient interaction. Designed with a modular approach, ZAIDYN offers scalable solutions that can be customized to meet diverse requirements, enabling smooth integration with current IT systems thanks to its open architecture. By delivering cohesive, high-quality data and insights, the platform fosters enhanced collaboration across different functions, which minimizes operational silos and encourages more informed decision-making. Prioritizing security and compliance, ZAIDYN upholds data privacy and meets regulatory standards, establishing itself as a trustworthy option for life sciences companies striving to innovate and elevate health outcomes. Ultimately, its comprehensive features provide organizations with the tools they need to navigate the complexities of the industry effectively.

Our platform, designed with regulatory compliance in mind, enhances clinical research by using algorithms to sift through unstructured EMR data to identify life-threatening conditions. We create cutting-edge technologies that broaden access to groundbreaking healthcare solutions through Clinical Trials. Our dedicated team is committed to saving lives by facilitating access to therapeutic innovations that are still being researched. We strongly advocate that every patient should be informed and empowered regarding their potential to engage in clinical trials that could offer significant therapeutic benefits. As a forward-thinking healthcare AI research firm, we have created a computational platform that identifies patients who meet a detailed set of criteria for participation in clinical trials, ensuring that the most suitable candidates are considered for these critical studies. Through our work, we aim to revolutionize the way patients connect with life-changing treatment opportunities.

Cut down on administrative expenses and enhance reimbursement rates, all while ensuring compliance is upheld. Transform your revenue cycle management (RCM) with the innovative capabilities of RapidClaims powered by AI technology. Significantly reduce administrative costs, elevate reimbursement levels, and maintain compliance with minimal effort. Simplify your coding workflow, and either automate tasks or empower your coding staff with tailored solutions that meet your specific needs. Process thousands of charts quickly and accurately while addressing the distinct demands of each client. Our advanced language model adeptly handles unstructured data, crafting a comprehensive patient record by turning notes into organized codes and identifying disease patterns. Avoid repeating past errors by establishing broad coding-related rules in straightforward language, which can be easily implemented across your charts, categorized by specialty, code type, and individual coders. Enhance your insight into code-level trends across various locations and take proactive steps to refine the revenue cycle. Additionally, our platform meticulously reviews charts to uncover claim denial trends, equipping you with the tools to address these challenges effectively and improve overall performance. With these capabilities, you can ensure a more streamlined and efficient coding process that supports your organization's financial health.

VIPER streamlines the process of screening by automating remote patient identification right at the diagnosis stage and ensuring qualified enrollment. By leveraging artificial intelligence, VIPER efficiently matches patients to precision trials during a critical enrollment period by utilizing lab-agnostic genomic data, electronic medical records (EMR), and pathology information tailored to both the patient and the research requirements. The system employs a specialized matching engine that searches for the most suitable clinical trials corresponding to a patient's specific diagnosis at the moment they receive it. Additionally, through seamless workflow integration, VIPER provides real-time alerts regarding a patient’s eligibility for available trials, ensuring the entire care team is informed during this narrow enrollment timeframe. Furthermore, VIPER features interactive dashboards that offer extensive data mining capabilities, allowing for the aggregation of site and study-level patient data to effectively meet study key performance indicators (KPIs). This comprehensive approach not only enhances trial recruitment efficiency but also supports researchers in achieving their goals more effectively.

Limbic is an innovative clinical-AI platform specifically designed for behavioral health professionals that improves patient accessibility, speeds up assessments, and aids in therapy with reliable AI-driven tools. It integrates seamlessly into referral systems, offering Limbic Access, an interactive intake and screening agent that carries out evaluations, forecasts diagnoses, assesses risk levels, and produces comprehensive clinical reports for healthcare providers. In addition, Limbic provides Limbic Care, an AI companion for patients that offers structured CBT interventions, conversational check-ins, and ongoing support tailored to the individual's therapeutic plan. Central to this platform is the Limbic Layer, a proprietary clinical engine that operates between users and an extensive language model, ensuring safety, clinical accuracy, adherence to regulations, and uniformity. The platform's efficacy is underscored by its impressive diagnostic precision and is supported by peer-reviewed research and recognized regulatory endorsements, including its classification as a Class IIa medical device. Furthermore, Limbic's commitment to enhancing mental health treatment reflects a broader trend in healthcare towards integrating technology for improved patient outcomes.

Amazon Comprehend Medical is a natural language processing (NLP) service compliant with HIPAA that leverages machine learning to retrieve health information from medical texts without requiring any prior machine learning expertise. A significant portion of health data exists in unstructured formats such as physician notes, clinical trial documentation, and patient medical records. The traditional approach of manually extracting this data is labor-intensive and inefficient, while automated methods based on strict rules often overlook crucial contextual details, leading to incomplete data capture. Consequently, this limitation results in valuable information remaining untapped for large-scale analytical efforts that are essential for progressing the healthcare and life sciences sectors, ultimately impacting patient care and operational efficiencies. By addressing these challenges, Amazon Comprehend Medical enables healthcare professionals to harness their data more effectively for better decision-making and innovation.

Individuals globally are plagued by intricate illnesses and a wide array of symptoms. Yet, they all have one crucial requirement in common: the urgent demand for the quicker creation of safer and more efficient treatments. Owkin’s goal is to enable researchers in hospitals, universities, and pharmaceutical firms to comprehend the reasons behind variations in drug effectiveness among patients, streamline the drug development process, and pinpoint the optimal medication for each individual to enhance therapeutic results. Central to Owkin's research ecosystem is Owkin Loop, which links medical researchers with high-quality datasets sourced from top academic research institutions worldwide. This innovative platform is driven by two primary elements of Owkin's Software Stack: Owkin Studio, a machine learning platform, and Owkin Connect, which serves as a federated learning framework. Additionally, Owkin is actively engaged in medical research collaborations across various fields, including Oncology, Immunology, and Cardiovascular diseases, showcasing the breadth of its commitment to improving patient care. Their collaborative efforts reflect a dedication to transforming healthcare through advanced technology and data-driven insights.

Trovo assistants utilize specialized models and tailored workflows to ensure that healthcare practices can quickly adapt and thrive. Our goal is to support physicians in enhancing patient care and boosting operational efficiency. By integrating AI-driven assistants with the expertise of a multidisciplinary care team, we enable practices to broaden their horizons. Trovo Health's advanced platform, supported by skilled professionals from various fields, empowers healthcare providers to extend their services with ease. By leveraging specialized workflow technology along with the knowledge of expert team members, providers can introduce new services for patients, enhance outcomes, and streamline their operations. The company has assembled a dedicated group of clinicians and technology experts to realize its ambitious vision. With the new funding, Trovo aims to further enhance its technology platform, expand clinical operations, and strengthen its leadership team. The innovative platform developed by Trovo tackles some of the most pressing challenges faced in care delivery and operational processes, setting a new standard for healthcare solutions. Ultimately, Trovo is committed to revolutionizing healthcare services through advanced technology and collaborative care.