GEN

Machine Learning Can Reduce Antibody Self-Association

In designing and manufacturing therapeutic antibodies, a top objective is precise binding to an intended target. Sometimes, the antibodies can bind to each other through self-association. In a recent ...
Lane Report

UPIKE professor awarded ACA Fellowship for machine learning particle physics research

Samuel D. Lane, Ph.D., assistant professor of physics at the University of Pikeville (UPIKE), has been awarded a 2025-26 ...
News-Medical.Net

AI-driven model predicts type 1 diabetes risk with greater accuracy

Researchers use machine learning and genetic analysis to uncover type 1 diabetes risk factors, improving prediction accuracy ...
ascopubs.org

Association of machine learning (ML)–derived histological features with transcriptomic molecular subtypes in advanced renal cell carcinoma (RCC).

Quantitative circulating tumor DNA (ctDNA) assessment in patients (pts) with advanced urothelial carcinoma (UC) treated with pembrolizumab (pembro) or platinum-based chemotherapy (chemo) from the ...
Forbes

Management AI: Matching AI Models To Business Needs, Unsupervised Learning, Customer Segmentation, And Association

This is part two of my series based on Lomit Patel’s “Lean AI” (O’Reilly, ISBN:978-1-492-05931-8). The first discussed business applications can benefit from supervised learning. This article will ...