Artificial Intelligence Medical Compendium

Clinical metagenomic sequencing detects hundreds of organisms whose relevance to infection requires clinicians' manual interpretation. We retrospectively reviewed 4,855 specimens from 19 sampling sites, linked 1.33 million detected organisms to clini... read more 

PURPOSE: For over a century, the pathologist's interpretation at the microscope was the final word on a brain tumor's identity. The 2021 World Health Organization (WHO) classification of central nervous system (CNS) tumors, 5th edition, changed that ... read more 

Predicting how crystal structure influences high-temperature stability remains a key challenge in materials modeling and design. Silicon carbide (SiC), one of the most thermally and chemically stable materials known, provides an ideal system for stud... read more 

Perturbational transcriptomics is a powerful tool for understanding gene function and drug effects, yet predicting how perturbations manifest across different biological contexts remains a central challenge, limiting translation from model systems to... read more 

Interpreting human genomes requires models that recognize shared biological functions while accounting for variation underlying traits, disease susceptibility and adaptation. Here we present hEVO, a genomic foundation model trained on 4.784 billion d... read more 

Scientific reasoning requires interaction with the physical world: designing experiments, interpreting outcomes, and deciding what experiment should come next. Here we show that general-purpose large language models (LLMs) already possess substantial... read more 

Topologically associated domains (TADs) shape the three-dimensional structure of chromatin and contribute to gene regulation by arranging regulatory elements and genes in spatial proximity. This spatial proximity is captured by Hi-C, an experimental ... read more 

Gene regulatory networks (GRNs) are a crucial link between genotype and phenotype, allowing organisms to respond to their environment by altering gene expression over time. Models can help us understand the underlying logic of these GRNs; in particul... read more 

Although generative models have revolutionized many fields, including genomics, building a scalable dataset compatible with artificial intelligence (AI) is essential yet underexplored. Here, we developed a Global Engine for navigating the Omnicell sp... read more 

Background: While tumour-infiltrating lymphocytes (TILs) are established prognostic markers in breast cancer, evidence of their prognostic value in large Asian cohorts has been limited. In this study, we evaluated the prognostic significance of immun... read more