Medicine is rapidly evolving from statistical, evidence-based approaches to predictive, genotype-directed care, driven by ...

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 ...

The world's first arena for predictive intelligence, Forge is a live environment where machine learning models compete on real-world problems and improve together, built on the thesis that the future ...

Managing a medical supply chain in low- and middle-income countries can mean navigating a landscape prone to extreme and ...

A privacy-preserving marketing framework applies homomorphic encryption to perform machine learning on encrypted ...

As workers remain concerned about AI replacing jobs, employers are simultaneously creating remote jobs for workers who know ...

UTokyo and Kubota develop a drone potato yield prediction method combining multispectral imagery, AI, and growth models.

A new development in data science has given one popular machine learning tool an improved sense of place, enabling it to make ...

As energy companies push AI deeper into industrial operations, success increasingly depends on governance, trusted data, and ...

The central bank's draft guidelines require board-approved model risk frameworks, stronger oversight of AI models and ...

Alex Chen's adaptive execution framework, using reinforcement learning, cuts trading costs and improves market visibility.

But research suggests that there may be another important factor: genetics.  Professor Shannon Kelleher of the Biomedical and Nutritional Sciences Department is partnering with Associate Professor ...