Felimban, R. (2025) Financial Prediction Models in Banks: Combining Statistical Approaches and Machine Learning Algorithms.
An AI-driven computational toolkit, Gcoupler, integrates ligand design, statistical modeling, and graph neural networks to predict endogenous metabolites that allosterically modulate the GPCR–Gα ...
Objective To develop and validate a 10-year predictive model for cardiovascular and metabolic disease (CVMD) risk using comprehensive health examination data from nearly 37 701 individuals.Methods ...
Thomson Reuters has announced a 5-year partnership with Imperial College London to create the new Frontier AI Research Lab at ...
The rollout of edge AI is creating new security risks due to a mix of small language models (SLMs), their integration into ...
The Daily Overview on MSN
12 rare skills that unlock higher pay
Some skills do more than keep you employable, they unlock a clear pay premium. Drawing on recent labor data and salary analyses, I focus here on 12 rare capabilities that consistently correlate with ...
The startup sees the next evolution in video generation coming from models that understand space, logic, and time.
According to the review, global publication trends show a sharp rise in research on explainable AI beginning in 2020, driven ...
Objective To develop prediction models for short-term outcomes following a first acute myocardial infarction (AMI) event (index) or for past AMI events (prevalent) in a national primary care cohort.
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