Machine learning identifies factors that may determine the age of onset of Huntington's disease

A team from the Faculty of Medicine and Health Sciences and the Institute of Neurosciences at the University of Barcelona ...

Machine learning can predict patients' responses to antidepressants while disentangling drug and placebo effects

Depression is one of the most widespread mental health disorders worldwide, affecting approximately 4% of the global ...
Fierce Healthcare

Amazon One Medical releases agentic health AI assistant for members

Amazon One Medical is launching an agentic health AI assistant for use in the One Medical app. | The agent will give members a new way to interface with the One Medical app. It can answer general ...
Psychiatry Advisor

Accuracy of Machine Learning in Predicting CVD Risk in Bipolar Disease

Models using established cardiovascular disease risk factors had satisfactory predictive performance for 5-year CVD risk in ...
Fierce Healthcare

JPM26: Elation Health embeds Anthropic's Claude into EHR to power chart summaries

Health tech company Elation Health has embedded Anthropic's Claude into its electronic health record to power its ...
insideHPC

Using Machine Learning with Health Data: The Challenges and Pitfalls

Applying Machine Learning (ML) to physiological data poses several challenges. While ML can be effectively used to model well-defined systems, applying it to a system as complex as the human body ...
MobiHealthNews

How machine learning, cloud computing fit into healthcare's big data puzzle

With the flood of data pouring in from across the healthcare industry there are still a lot of questions surrounding how best to make sense of said data, and where to store the heaps of new ...