Models using established cardiovascular disease risk factors had satisfactory predictive performance for 5-year CVD risk in ...
When Arinze Nkemdirim Okere, PharmD, MBA, worked as the pharmacist for a hospital in Tallahassee, Florida, he noticed that ...
A team of industry leaders and the University of North Dakota are targeting the nation’s $966 billion chronic disease ...
Morning Overview on MSN
These bizarre entities are neither alive nor dead and may soon save you
They are not quite alive, yet not convincingly dead, and they may soon be prescribed alongside, or even instead of, the pills in your medicine cabinet. These strange entities, from rod-shaped genetic ...
Introduction Maternal and child mortality has markedly decreased worldwide over the past few decades. Despite this success, the decline remains unequal across countries and is overall insufficient to ...
Dr Michele Orini shares how machine learning can help identify critical VT ablation targets for a safer, data-driven ...
Md Firoz Kabir, a PhD researcher in Information Technology, is emerging as a leading voice in artificial intelligence-driven ...
Foundational Concepts in Artificial Intelligence Defining Artificial Intelligence and Its Scope So, what exactly is ...
4don MSN
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 ...
Depression is one of the most widespread mental health disorders worldwide, affecting approximately 4% of the global ...
News-Medical.Net on MSN
Using AI to understand the age of disease onset in Huntington's patients
A team from the Faculty of Medicine and Health Sciences and the Institute of Neurosciences at the University of Barcelona ...
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