Predictive risk scores created using administrative claims and publicly available social determinants of health data strongly ...
Long-term lithium therapy remains the most effective maintenance treatment for bipolar disorder, yet it poses a significant ...
Type 1 diabetes (T1D) is an autoimmune condition in which the body's own immune system attacks insulin-producing cells. As a ...
Researchers at Trinity College Dublin have found that a machine learning model could help clinicians predict which people ...
Researchers at Mass General Brigham have developed a series of artificial intelligence (AI) tools that uses machine learning to identify individuals who may be at risk for intimate partner violence ...
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Improving AI models' ability to explain their predictions
In high-stakes settings like medical diagnostics, users often want to know what led a computer vision model to make a certain prediction, so they can determine whether to trust its output. Concept ...
Detecting behavioural signatures of depression from everyday digital traces is a central challenge in computational ...
This useful study supplements previous publications of willed attention by addressing a frontoparietal network that supports internal goal generation. The evidence is solid in analyzing two datasets ...
The 2025 Interdisciplinary Research Grant (IRG) for Convergent Innovation is designed to contribute to CUNY’s goal of amplifying the quantity and quality of engaged public impact research and ...
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