Probabilistic models, such as hidden Markov models or Bayesian networks, are commonly used to model biological data. Much of their popularity can be attributed to the existence of efficient and robust ...

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 ...

Deepa Bhadana is a researcher in genetics, plant breeding, and biotechnology with expertise that spans field trials, ...

The University of Glasgow’s PyTerrier platform has earned the Best Search Project of the Year Award at the BCS Search Industry Awards, recognising its growing influence in AI-driven search innovations ...

Toronto police say they have used genetic genealogy to identify a man whose remains were found in the downtown area more than 17 years ago. Police found the man dead in the area of Bloor Street E. and ...

Companies everywhere struggle with the management of knowledge workers. They compete fiercely to find and retain the best talent, often accumulating thousands of managers in the process. For a while ...

Investopedia contributors come from a range of backgrounds, and over 25 years there have been thousands of expert writers and editors who have contributed. Gordon Scott has been an active investor and ...

'The Big Money Show' weighs in as a Christmas tree farm raises concerns about a proposed energy project in Maryland connecting data centers and the economic impact from the A.I. boom. Zoom CEO Eric ...

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 ...