How Is AI Improving Medication Discovery and Management? (Marinka Zitnik)
Dr. Marinka Žitnik is a computer scientist from Harvard, studying applied machine learning with a focus on challenges brought forward by data in science, medicine, and health. A large aspect of her work concerns the use of AI for better use of medications – either by analyzing and predicting side effects in polypharmacy or by potentially discovering new indications of combinations of drugs that are already on the market.
Dr. Zitnik joined Harvard as an Assistant Professor in December 2019. Before that, she was a postdoctoral scholar in Computer Science at Stanford University. She was also a member of the Chan Zuckerberg Biohub at Stanford. Some of her methods are used by major biomedical institutions, including Baylor College of Medicine, Karolinska Institute, Stanford Medical School, and Massachusetts General Hospital.
In this discussion, she talks about the role of AI in the development of COVID vaccines, the role of AI in drug development, realistic expectations of AI tools we can expect in the next 5 to 10 years, and more.
This discussion was part of the discussions recorded for the movie OVERDOSE – How can we prevent medication errors, featuring 10 speakers from 6 countries across the world. Find all the details about the movie along with full interviews with speakers in the movie here: https://www.facesofdigitalhealth.com/overdose-documentary
If you are a clinician in the US, you can actually earn CME credits by listening to this show. Find the link to more details in the show notes. The CMEfy process is powered by Adaptrack – a simple platform to unlock precious time & money, while avoiding malpractice, burnout & administrative risks. CMEfy this topic: https://earnc.me/SneirH
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