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 |
|
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.
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.
Gold Member
12-Channel ECG
CM1200B
New
POC Respiratory/Sore Throat Test
BIOFIRE SPOTFIRE (R/ST) Panel
New
Patient Preoperative Skin Preparation
BD ChloraPrep
Latest COVID-19 News
- Low-Cost System Detects SARS-CoV-2 Virus in Hospital Air Using High-Tech Bubbles
- World's First Inhalable COVID-19 Vaccine Approved in China
- COVID-19 Vaccine Patch Fights SARS-CoV-2 Variants Better than Needles
- Blood Viscosity Testing Can Predict Risk of Death in Hospitalized COVID-19 Patients
- ‘Covid Computer’ Uses AI to Detect COVID-19 from Chest CT Scans
- MRI Lung-Imaging Technique Shows Cause of Long-COVID Symptoms
- Chest CT Scans of COVID-19 Patients Could Help Distinguish Between SARS-CoV-2 Variants
- Specialized MRI Detects Lung Abnormalities in Non-Hospitalized Long COVID Patients
- AI Algorithm Identifies Hospitalized Patients at Highest Risk of Dying From COVID-19
- Sweat Sensor Detects Key Biomarkers That Provide Early Warning of COVID-19 and Flu
- Study Assesses Impact of COVID-19 on Ventilation/Perfusion Scintigraphy
- CT Imaging Study Finds Vaccination Reduces Risk of COVID-19 Associated Pulmonary Embolism
- Third Day in Hospital a ‘Tipping Point’ in Severity of COVID-19 Pneumonia
- Longer Interval Between COVID-19 Vaccines Generates Up to Nine Times as Many Antibodies
- AI Model for Monitoring COVID-19 Predicts Mortality Within First 30 Days of Admission
- AI Predicts COVID Prognosis at Near-Expert Level Based Off CT Scans
Channels
Artificial Intelligence
view channel
Machine Learning Approach Enhances Liver Cancer Risk Stratification
Hepatocellular carcinoma, the most common form of primary liver cancer, is often detected late despite targeted surveillance programs. Current screening guidelines emphasize patients with known cirrhosis,... Read more
New AI Approach Monitors Brain Health Using Passive Wearable Data
Brain health spans cognitive and emotional functions and can fluctuate even in adults without diagnosed disease. Detecting early changes remains difficult in routine care and burdens specialty services... Read more
Critical Care
view channel
Automated IV Labeling Solution Improves Infusion Safety and Efficiency
Medication administration in high-acuity settings is often complicated by multiple concurrent infusions, making accurate line identification essential. In a 10-hospital intensive care unit study, 60% of... Read more
First-Of-Its-Kind AI Tool Detects Pulmonary Hypertension from Standard ECGs
Pulmonary hypertension is a progressive, life‑threatening disease that is frequently missed early because symptoms such as dyspnea are nonspecific and diagnostic delays can exceed two years.... Read more
Surgical Techniques
view channel
Continuous Monitoring with Wearables Enhances Postoperative Patient Safety
Postoperative hypoxemia on general surgical wards is common and often missed by intermittent vital sign checks. Undetected low oxygen levels can delay recovery and raise the risk of complications that... Read more
New Approach Enables Customized Muscle Tissue Without Biomaterial Scaffolds
Volumetric muscle loss is a traumatic loss of skeletal muscle that often leads to permanent functional impairment and limited reconstructive options. Current experimental strategies struggle to deliver... Read more
Patient Care
view channel
Wearable Sleep Data Predict Adherence to Pulmonary Rehabilitation
Chronic obstructive pulmonary disease (COPD) is a long-term lung disorder that makes breathing difficult and often disturbs sleep, reducing energy for daily activities. Limited engagement in pulmonary... Read more
Revolutionary Automatic IV-Line Flushing Device to Enhance Infusion Care
More than 80% of in-hospital patients receive intravenous (IV) therapy. Every dose of IV medicine delivered in a small volume (<250 mL) infusion bag should be followed by subsequent flushing to ensure... Read more
Health IT
view channel
EMR-Based Tool Predicts Graft Failure After Kidney Transplant
Kidney transplantation offers patients with end-stage kidney disease longer survival and better quality of life than dialysis, yet graft failure remains a major challenge. Although a successful transplant... Read more
Printable Molecule-Selective Nanoparticles Enable Mass Production of Wearable Biosensors
The future of medicine is likely to focus on the personalization of healthcare—understanding exactly what an individual requires and delivering the appropriate combination of nutrients, metabolites, and... Read more
Business
view channel
GE HealthCare Leads Major European Initiative to Advance Cardio-Oncology Care
Cardiovascular complications are increasingly recognized among people undergoing or recovering from cancer treatment, driven by pre‑existing disease and the cardiotoxic effects of chemotherapy, radiotherapy,... Read more
