de Filippis, R. and Al Foysal, A. (2026) Cross-Population Transfer Learning for Antidepressant Treatment Response Prediction: A SHAP-Based Explainability Approach Using Synthetic Multi-Ethnic Data.
Healthcare AI is scaling faster than clinical safety. Without clinicians in the loop, companies face growing liability, ...
Abstract: With abundant remote sensing data, satellite imagery foundation models have advanced significantly. Currently, the usefulness of the majority of thesemodels presented in their respective ...
The tumor immune microenvironment plays a critical role in tumor progression and responses to immunotherapy. Nevertheless, its cellular complexity and heterogeneity remain incompletely understood. In ...
ABSTRACT: Since transformer-based language models were introduced in 2017, they have been shown to be extraordinarily effective across a variety of NLP tasks including but not limited to language ...
Background: Protein-polysaccharide conjugate vaccines rely on the induction of T-cell-dependent responses that support germinal center (GC) reactions to potentiate the expansion of antigen-specific ...
A model that buys 100% of the time A model that returns a strict "buy low, sell high" strategy (if stock % returns = negative, buy; else if returns = positive, sell) A "model" that performs a simple ...
aDivision of Pediatric Critical Care Medicine, Department of Anesthesiology and Critical Care Medicine, Children's Hospital of Philadelphia, Perelman School of Medicine, University of Pennsylvania, ...
First-Line Docetaxel Once Every 2 Weeks With Cisplatin Plus Fluorouracil for Metastatic Esophageal Cancer: A Multicenter, Randomized Controlled Phase III Study (JCOG1314, MIRACLE) There is tremendous ...
Naive retail investors are driving the current market while professionals have stepped aside. The knowledge of many retail investors is limited to being aware, as to whether a stock is going up or ...
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