Engineering regulatory T cells (Tregs) has emerged as a powerful strategy to achieve durable, antigen-specific immune tolerance for autoimmune and ...

Abstract: Symbolic execution is a powerful technique for software testing, but suffers from limitations when encountering external functions, such as native methods or third-party libraries. Existing ...

This capstone project develops a machine learning pipeline to classify coding genetic variants as pathogenic versus benign using pretrained protein language model embeddings (ESM2). The work supports ...

Abstract: Combining fuel cells and lithium-ion batteries (LiBs) in a hybrid vehicle presents a promising automotive energy supply technology. The durability of power components, fuel consumption, and ...