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Description
HEKMA is a pioneering company utilizing artificial intelligence to enhance the efficiency of clinical trials by optimizing patient recruitment, assessing trial feasibility, and fostering patient engagement.
Their comprehensive platform caters to a diverse audience, including contract research organizations (CROs), pharmaceutical sponsors, healthcare facilities, and patients, by integrating electronic health records (EHRs) with AI-driven trial matching, clinical trial management solutions, and tools for engaging patients.
The core mission of HEKMA is to minimize delays in enrollment, broaden access to clinical trials—especially for underrepresented communities—and streamline the clinical research process to ensure it is more efficient, transparent, and centered around patient needs.
With a blend of healthcare knowledge, artificial intelligence capabilities, and clinical operations expertise, HEKMA adheres to crucial industry regulations such as HIPAA, 21 CFR Part 11, GDPR, and HL7/FHIR, ensuring the highest standards of compliance.
By harnessing innovative technology, HEKMA aims to transform the landscape of clinical trials, ultimately contributing to advancements in medical research and patient care.
Description
Progressing artificial intelligence to remove the need for trial and error in healthcare, our digital twins facilitate swift and assured clinical trials. We focus on areas such as neuroscience, immunology, and metabolic diseases, among others. TwinRCTs expedite full enrollment by requiring fewer participants to provide equivalent statistical power compared to conventional trial methodologies. This approach significantly reduces the time needed for late-stage study enrollment. Additionally, TwinRCTs enhance the ability to detect treatment effects in early-stage studies by bolstering statistical power without necessitating an increase in participant numbers. They enable researchers to make informed decisions based on initial study outcomes and help attract more participants to trials. By utilizing smaller control groups, TwinRCTs also improve participants' odds of receiving the experimental treatment. Our commitment to positioning clinical trials with digital twins for regulatory success is unwavering. Unlearn is at the forefront of transforming the medical field through the innovative application of artificial intelligence, creating and implementing novel generative models that are trained on vast datasets derived from previous patient studies. This evolution in methodology not only streamlines research but also enhances the overall effectiveness of clinical trials.
API Access
Has API
No
API Access
Has API
No
Screenshots View All
No images available
Integrations
No details available.
Integrations
No details available.
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
Yes
Vendor Details
Company Name
HEKMA
Founded
2018
Country
United States
Website
www.hekma.ai/
Vendor Details
Company Name
Unlearn
Country
United States
Website
www.unlearn.ai/
Product Features
Clinical Trial Management
21 CFR Part 11 Compliance
No
Document Management
No
Electronic Data Capture
No
Enrollment Management
No
HIPAA Compliant
No
Monitoring
No
Patient Database
No
Recruiting Management
No
Scheduling
No
Study Planning
No
Product Features
Clinical Trial Management
21 CFR Part 11 Compliance
No
Document Management
No
Electronic Data Capture
No
Enrollment Management
No
HIPAA Compliant
No
Monitoring
No
Patient Database
No
Recruiting Management
No
Scheduling
No
Study Planning
No