Artificial Intelligence Medical Compendium

In a recent issue of Cell, Adduri et al.1 introduce State, a machine learning model that generalizes across different cellular contexts and predicts how single-cell transcriptomes respond to genetic or chemical perturbations. read more 

Since the discovery of the clustered regularly interspaced short palindromic repeat (CRISPR)-associated (Cas) system, genome-editing technologies have advanced rapidly, and the field has expanded substantially. In parallel, artificial intelligence (A... read more 

We are just over a decade into the single-cell revolution in biology, which has been coupled to the growing use of artificial intelligence (AI) in single-cell genomics. Most early single-cell RNA embedding models and subsequent "foundation models"-re... read more 

Cis-regulatory elements (CREs) integrate signals from transcription factors (TFs) to control gene expression, yet mechanisms underlying this information processing remain poorly understood. Deep learning demonstrates expression is predictable from CR... read more 

Driven by advances in artificial intelligence, de novo protein design can now generate diverse molecular functions from the ground up, achieving remarkable success in engineering binders against many macromolecular targets. Here, we provide a perspec... read more 

Recent whole-brain cell atlases have uncovered a consistent cytoarchitectural feature: the greatest diversity of discrete neuronal cell types resides not in the regions with the most neurons (e.g., the cortex and cerebellum) but rather in deep subcor... read more 

Accurate identification of immunogenic neoantigens remains a bottleneck in personalized cancer vaccine development, particularly in low-mutation-burden tumors such as pancreatic ductal adenocarcinoma (PDAC). We developed NeoBridge, a hybrid ensemble ... read more 

Translating large-cohort proteomics data into biomedical insights requires timely, scalable, and reproducible data analysis. Here, we present Apus, an end-to-end solution built on a distributed private cloud architecture that automates the entire dat... read more 

Exercise reduces all-cause mortality, yet its molecular effects across organs, sexes, and circadian phases remain incompletely understood. We subjected mice to 8 weeks of voluntary wheel running and collected 22 tissues and plasma during active and i... read more 

Cardiovascular diseases remain one of the primary causes of death worldwide, highlight- ing the importance of early detection. PhonoCardioGraphy (PCG) provides a non-invasive approach to identify cardiac abnormalities. However, its effectiven... read more