The progression of glaucoma was accurately predicted by machine learning models based on structural, functional and vascular ...
A recent study by Yale researchers demonstrated the potential of a machine learning approach to predict symptoms of post-traumatic stress disorder, or PTSD, for recent trauma survivors. Researchers ...
According to the authors, incorporating a broad spectrum of biomarkers allows the models to reflect the continuous and ...
Antimicrobial resistance (AMR) is an increasingly dangerous problem affecting global health. In 2019 alone, ...
PLSKB: An Interactive Knowledge Base to Support Diagnosis, Treatment, and Screening of Lynch Syndrome on the Basis of Precision Oncology We used an innovative machine learning approach to analyze ...
A scoping review shows machine learning models may help predict response to biologic and targeted synthetic DMARDs in ...
In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...
A research team shows that phenomic prediction, which integrates full multispectral and thermal information rather than ...
A recent study, “Picking Winners in Factorland: A Machine Learning Approach to Predicting Factor Returns,” set out to answer a critical question: Can machine learning techniques improve the prediction ...
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