Now showing items 37-39 of 65109

    • scPhen: Single-Cell Phenotype Predictor for Alzheimer’s Disease 

      Guo, Sophie J. (Massachusetts Institute of Technology, 2025-09)
      Advances in artificial intelligence (AI) and generative AI for representation learning have transformed our ability to model complex biological systems. Single-cell RNA sequencing (scRNA-seq) provides unprecedented resolution ...
    • Predicting Task Functional Localizers Using Naturalistic fMRI 

      Wilke, Jordan (Massachusetts Institute of Technology, 2025-09)
      Functional magnetic resonance imaging (fMRI) data collected during naturalistic stimuli has shown promise for predicting individual traits, biomarkers of disease and functional brain localizations, potentially offering ...
    • Probabilistic Programming with Low-Level, High-Performance GPU Programmable Inference 

      Chung, Karen (Massachusetts Institute of Technology, 2025-09)
      GPU-compatible probabilistic programming languages (PPLs) have enabled high-performance, data-parallel programmable inference. However, these systems face fundamental trade-offs between expressiveness and performance, as ...