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predict disease progression? How can we better measure and mitigate the impact of biased training data for downstream clinical uses? Can we improve the factuality and reasoning of foundation models by
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or crowding in predicting reading skills. In regards to EF, the field is progressing towards a consensus that EFs are important for reading and that EF deficits are common in dyslexia. But due to the limited
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bioavailability predictions. We have licenses for the full complement of Schrodinger and Discovery Studio Software packages. As part of our overall endeavor, lead compounds will be subsequently subject to in vitro
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, utilizing various AI methods, predictive modeling approaches, and large language models. Specific areas of interest include but are not limited to (1) electronic health records, (2) causal inference, (3
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the development of clinical deep learning and other machine learning models to enable improved diagnosis, prognostication, and prediction of treatment response for bladder cancer, specifically related to endoscopic
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) cancer screening modeling, (2) microsimulation, (3) decision analysis/health policy modeling, (4) survival data under competing risks, (5) dynamic risk prediction modeling (e.g., landmark model), and (6