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 ...

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

The future of clinical research depends on people just as much as strong systems and processes. Learn what makes great ...

Prediction of 48-hour intensive care unit mortality in hospitalized cancer patients: Accuracy of the EPIC deterioration index and sequential organ failure assessment score. This is an ASCO Meeting ...

n this study, 773 untreated breast cancer patients from all over China were collected and followed up for at least 5 years. We obtained clinical data from 773 cases, RNA sequencing data from 752 cases ...

The "AI-based Clinical Trials Market - Global Forecast 2026-2032" has been added to ResearchAndMarkets.com's offering. The AI-based clinical trials market is driving a fundamental transformation in ...

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 ...

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.

Researchers at New York City-based Mount Sinai Health System developed a COVID-19 mortality predictive model that can accurately and cost-effectively aid clinical staff in assessing COVID-19 patients’ ...

VoxCell appoints Chief Commercial Officer as Demand Grows for Predictive, Human-Relevant, Non-Clinical Testing ...