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 ...

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 ...

In 1995, I sketched a vision of Houston's future that included subways and monorail. Here are three adult lessons from that ...

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

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

It feels like there’s no escaping AI right now, whether you’re trying to type a sentence without being interrupted by a digital “assistant” or struggling to find a new refrigerator that doesn’t ...

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.

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 ...

Discover how enterprise sales teams are adopting AI agents in 2026 to automate workflows, enhance customer engagement, ...

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

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

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.