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AI & Biomedical Computation

AI & Biomedical Computation

Applying artificial intelligence to biomedicine requires innovators fluent in both realms
December 18, 2019

Artificial intelligence promises to revolutionalize biomedicine.  Deep learning allows machines to diagnose pneumonia from chest x-rays or predict health deterioriation from medical records; it was unfamiliar a decade ago but is a fast-growing subfield of AI now.  The success of biomedical AI depends on both developing the technology as well as developing the people behind it.  These individuals require deep knowledge and intuition in both AI and biomedical realms, which are very different disciplines.  Undergraduate programs at the interface of biomedicine and computation give students an early fluency and the ability to move fluidly between the cultures of biology and computer science, rather than be "AI people doing bio" or "Bio people doing AI."   

Read more about the emergence of this biomedical-computation workforce in the "Wiring Minds" article (Nature, 18 December 2019)

Read about the announcement of the new Biomedical Computation (BMC) major

Learn more about Stanford University's Biomedical Computation undergraduate major