Rethinking How We Treat Enometriosis
The MIT Center for Gynepathology Research (CGR)
Co-directed by Professor Linda Griffith and Keith Isaacson with Peter R. Movilla as Associate Clinical Director, the CGR is a hub for interdisciplinary research on endometriosis, adenomyosis, infertility, and other reproductive tract pathologies. It pioneers “physiomimetics”—creating “living patient avatars” from patient tissues in advanced lab models to study disease and test therapies in human-relevant contexts, moving beyond animal models.
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AI for Endometriosis Diagnostics
The Female Medicine through Machine Learning (FMML) initiative, involving Professor Marzyeh Ghassemi, Professor Linda Griffith, Frida Polli, Sendhil Mullainathan, and Jennifer Garrison are developing AI tools to drastically reduce the 7-10 year diagnostic delay for endometriosis.
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Predicting Preterm Birth
Katharina Ribbeck’s lab studies cervical mucus properties, showing that changes in its permeability can predict preterm birth risk, offering a potential early diagnostic. The FMML initiative (Professor Marzyeh Ghassemi) is also developing AI algorithms for preterm birth prediction.
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Ovarian Aging Biomarkers
Professor Marzyeh Ghassemi and Jennifer Garrison are creating biomarkers to predict ovarian aging and menopause, aiming to mitigate associated long-term health risks like cardiovascular disease and cognitive decline.
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