The integration of Artificial Intelligence (AI) with multimodal medical data is an emerging field in biomedical informatics, aiming to enhance the accuracy ...

Research from MIT Sloan School of Management has demonstrated a new way of designing social science experiments that can ...

This study combines satisfaction, achievement motivation, and social identity theories to construct a dynamic discrete choice ...

Background The vaping market in Great Britain has shifted rapidly since 2021, driven by the rise of disposable vapes, ...

Clinical Trial Patient Matching: A Real-Time, Common Data Model and Artificial Intelligence–Driven System for Semiautomated Patient Prescreening in Cancer Clinical Trials We developed an eXtreme ...

The move could position the AI infrastructure powerhouse to quickly compete with OpenAI, Anthropic, and DeepSeek. Open source models are ones where the weights or the parameters that determine a model ...

Large-language models (LLMs) have taken the world by storm, but they’re only one type of underlying AI model. An under-the-radar company, Fundamental, is set to bring a new type of enterprise AI model ...

Factoring out nucleotide-level mutation biases from antibody language models dramatically improves prediction of functional mutation effects while reducing computational cost by orders of magnitude.

A century ago, two oddly domestic puzzles helped set the rules for what modern science treats as "real": a Guinness brewer charged with quality control and a British lady insisting she can taste ...

Imagine that you’re a scientist, and among many possible model processes that might have produced a particular set of data, how do you choose the best model? In studying everything from climate change ...

Statistical models predict stock trends using historical data and mathematical equations. Common statistical models include regression, time series, and risk assessment tools. Effective use depends on ...