I will be giving a talk about data-driven decision making for breast cancer screening at the MSOM 2024 conference in Minneapolis. Would love to meet and hear your thoughts!

Honored to be selected as a 2024-2025 @TakedaPharma fellow by @MITEngineering, part of the J-Clinic program @AIHealthMIT. I owe my deepest gratitude to my advisor @dbertsim for all his support and guidance. Looking forward to contributing to better healthcare with AI!

Retraining ML models on new data can provide new insights, but only if the model structure is stable, which is critical for high-stakes spaces like healthcare. @vvdigalakis, Yu Ma, @PhevosPaschali1, & @dbertsim propose a new method for retraining models https://t.co/QNk6BaZFmm

When assessing a patient, doctors usually take multiple factors into account (e.g. symptoms & health history) before making a diagnosis. So why not have AI/ML do the same thing? Multimodal models have become more popular in recent years, but developing unified & scalable...(1/4)