Making eligibility decisions based on trends seen in past cases, rather than explicit criteria, is a feasible approach to clinical trial recruitment that is both compatible with data structures found ...

BOSTON--(BUSINESS WIRE)--A scientific paper recently published by CHEST® Journal, shares a study that finds CLEW Medical’s FDA-cleared AI-driven models for predicting patient deterioration were five ...

This study aims to improve survival modeling in head and neck cancer (HNC) by integrating patient-reported outcomes (PROs) using dimensionality reduction techniques. PROs capture symptom severity ...

Epic announced a new AI tool designed to help clinicians anticipate patient needs and improve decision-making. Here are six things to know about the tool: The platform, called Comet, uses generative ...

Stanford Medicine has developed a vision-language artificial intelligence (AI) model that can predict cancer outcomes, such as forecasting melanoma relapses and patient responses to immunotherapy.

This analysis is by Bloomberg Intelligence Industry Analyst Andrew Galler and Senior Associate Analyst Jack Maltby. It appeared first on the Bloomberg Terminal. Clinical trials represent a significant ...

The FDA-cleared system is proven to accurately predict patient deterioration, reduce caregiver burden and create opportunities for early intervention in critical care settings BOSTON--(BUSINESS WIRE)- ...

Michael O. Lawanson, a Nigerian data scientist at the University of Arkansas, United States, is at the forefront of global ...

Using tumor growth modeling and informed neural networks as early predictive clinical endpoints. 2007 Continuous dispersion for invasive motility. 2009 Invasive growth with cell density and oxygen.

City of Hope ®, one of the largest and most advanced cancer research and treatment organizations in the U.S., launched an innovative national clinical trials model to expand access to emerging ...