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

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: Genetic programming (GP) has achieved promising results without relying on the extraction of prior knowledge, e.g., fixed network architecture. However, most existing GP methods guide the ...

Background: The prognosis of hypertrophic cardiomyopathy (HCM) varies by several factors, including imaging characteristics and genotype, reflecting underlying pathology. Traditional machine learning ...

Abstract 4362115: Lack of Genetic Ancestral Diversity is a Major Driver of Clinically Meaningful Changes in Variant Pathogenicity Classification for Reportable Cardiovascular Disease-associated Genes ...

Computer programming powers modern society and enabled the artificial intelligence revolution, but little is known about how our brains learn this essential skill. To help answer that question, Johns ...

This figure shows primary T cells modified using two approaches. CAR receptors are introduced through targeted DNA insertion (top), while CRISPRoff mRNA and guide RNAs silence additional genes through ...

Parametric Symbolic Regression (PSR) is a Python package that evolves symbolic expressions whose parameters can be optimized (e.g. with curve_fit or minimize). It combines genetic-programming style ...

1 Institute of Grassland Research, Chinese Academy of Agricultural Sciences, Hohhot, China 2 Key Laboratory of Grassland Resources and Utilization of Ministry of Agriculture, Hohhot, China Methods: In ...

MONTREAL, Sept. 4, 2025 /PRNewswire/ -- Congruence, a computationally-driven biotechnology company building a unique pipeline of pharmacological correctors for diseases of protein misfolding, ...