A machine-learning model developed by Weill Cornell Medicine investigators may provide clinicians with an early warning of a ...

Abstract: This article introduces a learning-based model predictive control (MPC) framework that leverages Gaussian mixture models (GMMs) to address dynamic system uncertainties effectively. To ...

A large language model delivered high sensitivity and specificity in analyzing electronic health records of patients for ...

New research published in Molecular Psychiatry suggests that two major personality traits associated with alcohol use—impulsivity and neuroticism—stem from largely distinct brain networks. While both ...

The techniques that have served marketers for over fifty years are evolving rapidly, driven by artificial intelligence, increasing market volatility and a fundamental shift in what we expect ...

Real acupuncture was associated with greater improvement in pain scores and quality of life than sham acupuncture in patients with migraine without aura, a new study showed. Additionally, distinct ...

Early whole-brain functional connectivity significantly predicted 14-month fear-based symptom severity using connectome-based predictive modeling, but did not significantly predict emotional pain ...

A recent study published in Psychology of Sport & Exercise has found that long-term engagement in competitive athletics is linked to reduced aggression in daily life and specific patterns of brain ...

Suggested Citation: "1 Introduction to Precision Medicine and Animal Models." National Academies of Sciences, Engineering, and Medicine. 2018. Advancing Disease Modeling in Animal-Based Research in ...

Partnership launches AI solution to enhance predictive heart valve visualization and personalize valve treatment planning decisions enabling the future of TAVR for structural heart patients DUBLIN, OH ...