A machine learning–driven web tool based on 13 standard patient metrics demonstrates strong predictive performance for MASLD, ...
News Medical on MSN
Machine learning advances drug discovery through generalizable models
The drug development pipeline is a costly and lengthy process. Identifying high-quality "hit" compounds-those with high potency, selectivity, and favorable metabolic properties-at the earliest stages ...
This predictive model built on readily acquired clinical data provides encouraging results for the detection of residual disease. External validation and prospective studies implementing the model in ...
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 ...
Creative-Expert Preference Data: Shutterstock leverages professional creatives for rubric-driven aesthetic judgments that ...
Predictive model accelerates the development of nanoparticles as potential drug carriers for targeting neurodegenerative ...
A review of machine learning (ML) models developed to support the management of chronic lymphocytic leukemia (CLL) have demonstrated positive outcomes, including accurate diagnosis and improved work ...
Tech Xplore on MSN
Lancelot federated learning system combines encryption and robust aggregation to resist poisoning attacks
Federated learning is a machine learning technique that allows several individuals, dubbed "clients," to collaboratively ...
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