What if data could help predict a patient's prognosis, streamline hospital operations, or optimize human resources in ...

To teach a machine-learning algorithm to find a relationship between bio-signals and health outcomes, however, you need to teach the algorithm to recognize those health outcomes. That’s where ...

AI is embedded in frontline diagnostics and decision-making systems. Machine learning models, trained on clinical datasets, ...

Faculty from Applied Mathematics, Computer Science and Information Science guide students through hands-on projects and experiential learning, applying data science to fields like machine learning, ...

Artificial Intelligence (AI) is commonly known for its ability to have machines perform tasks that are associated with the human mind - like problem solving. However, what's less understood is how ...

If you buy through a BGR link, we may earn an affiliate commission, helping support our expert product labs. Fears of an AI-controlled robot takeover aside, artificial intelligence has provided ...

A new study in Human Gene Therapy describes a machine learning (ML) model that can be used as a surrogate for laborious in vitro experiments. This in silico approach aims to increase the fitness of ...

A United States-based data scientist, Philip Agbara, is gaining recognition for his use of predictive analytics and machine learning in addressing public health crises and other critical sectors, ...