Ainnocence and Phase Advance Enter Industry-First AI Collab to Reduce Drug Development Timeline and Clinical Trial Risk

The collaboration marks a turning point in AI-driven drug design and trial forecasting, de-risking the drug development ...
Fierce Healthcare

Advocate Health's research arm pilots KelaHealth's predictive software to assess surgical risk, improve outcomes

Advocate Aurora Research Institute is leveraging KelaHealth, a predictive analytics company, to improve surgical care outcomes across Advocate Health’s sites. The 12-month pilot project relies on ...
Forbes

How Predictive Screening Models Can Reduce Risk While Supporting Growth

Business leaders today are navigating an era of complex uncertainty, where risk moves faster than traditional oversight can keep up. From global supply chain volatility to internal compliance ...
BMJ

Machine learning approaches to injury risk prediction in sport: a scoping review with evidence synthesis

Objective This study reviewed the current state of machine learning (ML) research for the prediction of sports-related injuries. It aimed to chart the various approaches used and assess their efficacy ...
Forbes

Transforming Predictive Analytics: The Synergy Of Data, Behaviors And AI

In organizational leadership, staying ahead requires more than just a glance into historical data; it demands a predictive prowess that anticipates future trends and allows leaders to test hypotheses ...
Lupus Foundation of America

Anti-Smith Antibodies Associated with Increased Risk of the Development of Lupus Nephritis, but Not a Stand-alone Predictive Biomarker

Identifying biomarkers for lupus nephritis (LN, lupus-related kidney disease) is challenging due to heterogeneity of the disease and its impact on different kidney regions, leading to varying clinical ...