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features
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support

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Description

We combine clinical and experimental data through machine learning techniques to explore human disease biology and promote the development of precision medicine. Our innovative Contingent AI™ technology comprehends the intricate relationships present in the data, yielding advanced insights. To combat data bias, we refine our machine learning models based on decisions made during the pre-processing and feature engineering phases. We utilize zebrafish, cellular, and various phenotypic animal models to test and confirm in silico predictions through in vivo experiments, along with genetic modifications conducted both in vitro and in vivo to enhance translation. By employing active learning and computer vision on validated models that focus on cardiac, central nervous system, and rare disorders, we swiftly integrate new data into our machine learning frameworks, allowing for continuous improvement and adaptation in our methodologies. This iterative process not only enhances the accuracy of our predictions but also enables us to stay at the forefront of research in precision medicine.

Description

Cardiac Device Monitoring software encompasses systems specifically developed to oversee and regulate cardiac devices like pacemakers, implantable cardioverter-defibrillators (ICDs), and cardiac resynchronization therapy (CRT) devices. These advanced software platforms are adept at gathering data from the implanted devices, ultimately offering healthcare professionals insightful analyses and comprehensive reports. Utilizing Cardiac Device Monitoring software allows for the continuous observation of device performance, identification of irregularities in device functionality, and effective management of the patient's treatment strategy. Additionally, this software enhances patient care by providing real-time notifications to healthcare practitioners whenever critical incidents or problems arise. Common features found in Cardiac Device Monitoring software include the capability for remote oversight of cardiac devices, seamless transmission of device data, automated assessment of device performance along with patient trends, and alert notifications specifically tailored for healthcare providers to ensure timely intervention. The integration of such technology significantly contributes to improved patient outcomes and more efficient healthcare delivery.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

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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 Yes 
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 No 
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 Yes 

Customer Support

Business Hours No 
Live Rep (24/7) Yes 
Online Support Yes 

Types of Training

Training Docs No 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs No 
Webinars No 
Live Training (Online) Yes 
In Person Yes 

Vendor Details

Company Name

BioSymetrics

Country

United States

Website

www.biosymetrics.com/platform

Vendor Details

Company Name

Octagos Health

Founded

2018

Country

United States

Website

www.octagoshealth.com

Product Features

Remote Patient Monitoring

Dashboard No 
Data Import/Export No 
HIPAA Compliant No 
Mobile Payments No 
Monitoring Device Integration No 
Patient Engagement No 
Patient Portal No 
Patient Records Management No 
Patient Surveys No 
Reminders No 
Virtual Visits No 

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