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 ...
In the hunt for new therapeutics for cancer and infectious diseases, lasso peptides prove to be a catch. Their knot-like ...
RIT computing students and Professor Rui Li are working on a National Institutes of Health-funded project to use AI in ...
Predictive model accelerates the development of nanoparticles as potential drug carriers for targeting neurodegenerative ...
The Specialist Machine Learning Engineer is responsible for advancing the organisation’s technical capabilities in specific, high-impact areas of machine learning such as natural language processing ...
This interesting study adapts machine learning tools to analyze movements of a chromatin locus in living cells in response to serum starvation. The machine learning approach developed is useful, the ...
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 ...
Objective Organ damage is a key determinant of poor prognosis and increased mortality in systemic lupus erythematosus (SLE).
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