Machine learning models that use electronic health record data to predict obstructive sleep apnea had greater performance than two screening questionnaires, according to a poster presented at SLEEP ...

Advanced clinical modeling firm to provide in silico projections of KizaVie™ drug performance for over a dozen ...

For an academic researcher who first trained as a philosopher, then as a psychologist, Robyn Dawes was a practical fellow. He would tell a story from his time working in a psychiatric ward in the ...

Magdalena Ramada, global insurtech innovation leader at WTW, spoke with Digital Insurance about the value and potential of AI ...

Blood-based circular RNAs showed strong potential for identifying biomarker-confirmed Alzheimer’s disease and predicting progression to symptomatic disease. When combined with pTau217, the circRNA ...

Another day, another AI model from Google. This time, Google DeepMind has released a new member of the Gemma 4 open model family, but it’s fundamentally different from the rest of the lineup.

Support vector regression can predict numeric values effectively, and this article shows how to implement and train a kernel SVR model in C# using stochastic sub-gradient descent.

On a recent episode of the Animal Spirits podcast titled Talk Your Book: AI Is Not a Bubble, Alger portfolio manager Dr.

Prediction market volume has grown exponentially but several markets never make it over $10,000.

Health systems interested in leveraging PCCI's models will work with Vega to evaluate them on their own local patient data before implementing them. (Stock photo/Getty Images) Vega Health, a startup ...

A study published by Food Research International analyzed the triple effect of climate change on soybean quality—increased carbon dioxide (CO₂), high temperatures and drought. Using predictive ...

Aims To develop prediction models for identifying cases with poor visual outcomes after surgery for primary rhegmatogenous ...