Predictive model accelerates the development of nanoparticles as potential drug carriers for targeting neurodegenerative ...

Artificial intelligence algorithms have now been combined with traditional laboratory methods to uncover promising drug leads against human enterovirus 71 (EV71), the pathogen behind most cases of ...

Although artificial intelligence has already shown promise in cardiovascular medicine, most existing tools analyze only one ...

RIT computing students and Professor Rui Li are working on a National Institutes of Health-funded project to use AI in ...

Poster session location: Lawson Commons. Join us for a two-day workshop exploring the latest developments in scientific machine learning, where theory, algorithms, and real-world applications converge ...

Two new studies from the Department of Computational Biomedicine at Cedars-Sinai are advancing what we know about using machine learning and big data to improve health care and medical research. Both ...

By a News Reporter-Staff News Editor at Insurance Daily News-- Researchers detail new data in Machine Learning. According to news reporting out of Seattle, Washington, by NewsRx editors, research ...

Debate continues over the role of artificial intelligence in treating mental health conditions, but new research shows that machine learning models can help predict whether a person might benefit from ...

This course covers three major algorithmic topics in machine learning. Half of the course is devoted to reinforcement learning with the focus on the policy gradient and deep Q-network algorithms. The ...