“The National Institutes of Health is integrating artificial intelligence and machine learning to tackle inequalities across the health care system and advance medical research.”
“AI’s benefits in driving biomedical and behavioral science research to predict and diagnose disease and personalize treatments are innumerable, noted Laura Biven, data science technical lead at NIH, during a virtual event.”
“’AI touches all parts of the spectrum. For example, how can we use AI/ML to match proteomic data with how we annotate genomes? Then how do we use those results of basic research and translate them into a clinical health environment? It really spans the entire health spectrum of basic research to translational sciences as well,’ Biven said.”
“Critical to these efforts is creating a “fair and modern data ecosystem” to make data findable, accessible, interoperable and reusable, she added. Many biomedical applications rely on information from a variety of data sources, Biven said. Having better access to that data is critical.”
“’AI is one of the very cool and efficient tools that data scientists have in their belt, and the immense success that people are having with AI is driving a lot of things that we want to do in data science. It’s driving us to think in a more sophisticated way about data management, how we structure our data, how to make data accessible, and how we link data with computing platforms,’ Biven said.”
“As NIH continues to advance its AI capabilities, it’s increasing its focus on ethical considerations to construct trustworthy algorithms from the get-go. This includes privacy, bias and, of course, access…” Read the full article here.
Source: NIH Tackles Equitable AI for Biomedical, Behavioral Science — By Sarah Sybert, May 14, 2021. GovernmentCIO.
