We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

Features Partner Sites Information LinkXpress
Sign In
Advertise with Us
Thermo Fisher Scientific - Direct Effect Media

Download Mobile App





J&J’s Janssen Partners with BioSymetrics for Predicting Onset and Severity of COVID-19 Using Machine Learning

By HospiMedica International staff writers
Posted on 20 Aug 2020
Print article
Illustration
Illustration
Johnson & Johnson’s (New Brunswick, NJ, USA) Janssen Pharmaceuticals Inc. (Beerse, Belgium) has entered into a collaboration with BioSymetrics Inc. (New York, NY, USA) and Sema4 (Stamford, CT, USA) that will focus on predicting the onset and severity of COVID-19 among different populations using machine learning.

As part of the collaboration, the parties will use BioSymetrics' Contingent-AI engine across several projects to characterize high-risk populations, measure and predict disease progression based on biological risk factors and treatment course, and identify markers for clinical phenotype and severity of disease. BioSymetrics, a biomedical artificial intelligence company that provides clinical insights and helps researchers develop drugs with greater speed and precision, has developed the platform based on a patent pending AI iteration framework that can be used in conjunction with clinical research to predict target mechanism, identify lead compounds, or provide clinical insights. The collaboration will operate across several projects with a goal of enabling a vaccine and course of treatment against SARS-CoV-2.

"We've been working on deploying AI in the clinical setting for several years," said Anthony Iacovone, Co-Founder and Chairman of BioSymetrics. "We've demonstrated that machine learning can bring speed and precision to helping identify at risk patient populations, predict disease outcomes, and build better treatments, but the pandemic has now pushed biomedical AI technology to the fore front of innovative necessity."

"There is dramatic heterogeneity within the COVID-19 patient groups and a spectrum of disease risk that must be interpreted probabilistically – something of which I believe this collaboration will drive through innovation and combined expertise," added Eric Schadt, Founder and CEO of Sema4, a patient-centered health intelligence company.

Related Links:

BioSymetrics Inc.
Sema4
Johnson & Johnson
Janssen Pharmaceuticals Inc.

Print article

Channels

Critical Care

view channel
Image: EsoGuard has demonstrated over 90% specificity and 90% sensitivity in identifying Barrett’s Esophagus (Photo courtesy of Lucid Diagnostics)

Biomarker Based Non-Endoscopic Technology Identifies Risk for Esophageal Cancer

Barrett's esophagus (BE) is the benign and treatable precursor condition to esophageal adenocarcinomas (EAC) which is usually diagnosed at an advanced stage and is difficult to treat. Finding BE, a sign... Read more

Surgical Techniques

view channel
Image: Novel surface treatment could prevent deadly hospital infections without antibiotics (Photo courtesy of Penn State)

Novel Surface Treatment Stops Microbes from Adhering to Medical Devices

Hospitals and medical clinics can be the source of nasty infections, resulting in death from infection-related complications and billions in direct medical costs. The biggest culprits, experts say - accounting... Read more

Patient Care

view channel
Image: Future wearable health tech could measure gases released from skin (Photo courtesy of Pexels)

Wearable Health Tech Could Measure Gases Released From Skin to Monitor Metabolic Diseases

Most research on measuring human biomarkers, which are measures of a body’s health, rely on electrical signals to sense the chemicals excreted in sweat. But sensors that rely on perspiration often require... Read more

Health IT

view channel
Image: AI can reveal a patient`s heart health (Photo courtesy of Mayo Clinic)

AI Trained for Specific Vocal Biomarkers Could Accurately Predict Coronary Artery Disease

Earlier studies have examined the use of voice analysis for identifying voice markers associated with coronary artery disease (CAD) and heart failure. Other research groups have explored the use of similar... Read more
Copyright © 2000-2022 Globetech Media. All rights reserved.