The framework predicts how proteins will function with several interacting mutations and finds combinations that work well together.
By applying new methods of machine learning to quantum chemistry research, Heidelberg University scientists have made significant strides in computational chemistry. They have achieved a major ...
BACKGROUND: Mental stress-induced myocardial ischemia is often clinically silent and associated with increased cardiovascular risk, particularly in women. Conventional ECG-based detection is limited, ...
The authors analyze the interest rate risk in the banking book regulations, arguing that financial institutions must develop robust models for forecasting ...
New University of Michigan research reveals older adults with high cumulative lead exposure face nearly triple the Alzheimer's risk. The study suggests reducing population lead levels could prevent ...
Researchers have developed a new machine-learning-assisted approach to optimize micro-electro-discharge machining (µ-EDM) of a next-generation biocompatible titanium alloy, potentially improving the ...
Jonathan Ball, a partner with the law firm Norton Rose Fulbright described the ruling as "a major boost for AI innovators", adding that it "could make it easier for AI companies to secure patent ...
Risk prediction has been used in the primary prevention of cardiovascular disease for >3 decades. Contemporary cardiovascular risk assessment relies on multivariable models, which integrate ...
BrainIAC, a breakthrough AI foundation model, is able to predict brain age, dementia, time-to-stroke, and brain cancer from brain magnetic resonance imaging (MRI).
Recent advances in deep learning have enabled effective interpretation of neural activity patterns from electroencephalogram signals; however, challenges persist in invasive brain signals for ...
A Michigan Daily survey of 322 people walking through the Diag in October and November asked residents where they feel the most unsafe in Ann Arbor. The survey found many feel unsafe along State ...
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