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Mikio Tada
I'm a third-year Biomedical Science PhD student at Diego Chowell's lab at the Icahn School of Medicine at Mount Sinai.
I want to understand how we can leverage deep learning to discover new biology related to the tumor immune microenvironment and improve prediction of immunotherapy response.
Ultimately, I hope to bring these findings into the clinic.
Previously, I was a Research Specialist co-mentored by Michael Keiser and Maria Wei at UCSF. My reserach was related to computational pathology. Degrees: MS in Data Science from the University of San Francisco and BS in Mathematics from Juniata College.
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Twitter(X)
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Deep learning finds convergent melanocytic morphology despite noisy archival slides
Mikio Tada*, Garrett Gaskins*, Sina Ghandian, Nicholas Mew, Michael J Keiser, Elizabeth S Keiser. * equal contributions.
Cell Reports Methods, 2025
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Artificial intelligence and skin cancer
Maria L. Wei, Mikio Tada, Alexandra So, Rodrigo Torres
Frontiers in Medicine, 2024
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Learning Melanocytic Cell Masks from Adjacent Stained Tissue
Mikio Tada, Ursula E. Lang, Iwei Yeh, Elizabeth S. Keiser, Maria L. Wei, Michael J. Keiser
MICCAI, 2022
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