Diversity in clinical trials matters for drug safety and efficacy—and for future medical advancements. Clinical trial ...

In biomedical modeling, the integration of mechanistic and data-driven approaches is reshaping how we interpret and predict complex biological phenomena.

In this Q&A article with the Eye Care Network, Daniela Ferrara, MD, PhD, FASRS, FARVO, discusses the role of low- and middle-income country (LMIC) data in informing US ophthalmology clinical trials, ...

Critically, the study validated the bridging strategy using OncoHost's PROphet (R) platform--an AI-powered, plasma proteomics-based model designed to predict immunotherapy outcomes in patients with ...

The proposed CNN-based system demonstrates the feasibility and robustness of deep learning for automatic lung nodule detection and classification. Despite strong results, the study acknowledges ...

Quantitative research is a systematic investigation that utilizes numerical data and statistical techniques to determine relationships between variables and draw conclusions about the phenomena under ...

the domain generalizability is likely due to several factors, one of which is the DINOv2 based backbone, and the others we will discuss in the upcoming paper! we haven't released it yet because we're ...

Artificial intelligence (AI) is rapidly transforming medicine, promising to revolutionize diagnostics, treatment planning and operational efficiency. But there’s a critical—and often overlooked—flaw ...

An international team of researchers was recently able to show that research results from the field of strategic management in some cases generalizes to new time periods and new geographies. The ...

TrialTranslator uncovers the survival gap for high-risk patients and offers a path to better cancer research. Study: Evaluating generalizability of oncology trial results to real-world patients using ...

About The Study: This study estimates that approximately one-third of U.S. adults without diabetes who were eligible for weight loss treatment with glucagon-like peptide 1 (GLP-1) and ...