Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 26,821 to 26,830 of 218,283 articles

Machine Learning Approach for Enumeration of Circulating Cells with Diffuse in vivo Flow Cytometry

bioRxiv
Significance: Diffuse in vivo flow cytometry (DiFC) is an emerging technique for enumerating rare, fluorescently-labeled circulating tumor cells (CTCs) in small animals without drawing blood samples. DiFC uses detection of transient fluorescent peaks... read more 

An autonomous LLM agent platform for computational binder design and conjugation-aware prioritization of antibody drug conjugates

bioRxiv
Large language model (LLM) agents have automated tool use in chemistry, but orchestrating multi step computational biology workflows spanning structure prediction, protein design, and covalent conjugation remains manually intensive. Here we present O... read more 

Glio-SERS: Label-Free Molecular Profiling of Plasma Extracellular Vesicles in Brain Tumors Using SERS and Artificial Intelligence

bioRxiv
Extracellular vesicles are increasingly recognized as important carriers of disease-associated molecular information, yet robust methods for their isolation and molecular characterization from limited clinical samples remain challenging. Here, we pre... read more 

Entrenchment of germline amino-acid differences in antibody affinity maturation

bioRxiv
Entrenchment - epistasis that locks in amino acid differences between homologous proteins, so each disfavors substitutions toward the other's state - has been demonstrated along individual protein lineages over deep evolutionary time. Antibodies offe... read more 

Aligned recordings of neural spiking activity and licking behavior in thirsty mice

bioRxiv
Electrophysiological data, which serve as a biological signal that bridges neural activity and behavioral tasks, provide an innovative approach to neuroscience research. In this study, we constructed a dataset that contains over 2000 neurons across 1... read more 

GeneBench: Assessing AI Agents for Multi-Stage Inference Problems in Genomics and Quantitative Biology

bioRxiv
We introduce GeneBench, a benchmark for AI agents on realistic multi-stage scientific data analysis in genetics and quantitative biology. Existing biology benchmarks mostly measure knowledge retrieval, execution of routine pipelines, or a single anal... read more 

Cross-Attention Over RNA And Protein Sequences Enables Generalizable Interaction Prediction

bioRxiv
Computational predictions are essential to characterize the RNA-protein interaction landscape, yet a persistent gap between benchmark performance and practical utility suggests that current models have limited generalization capabilities. To address ... read more 

Modular organization and selective motifs in the insula provide structural priors for efficient learning

bioRxiv
The insular cortex (IC) integrates diverse sensory and interoceptive signals to support emotional and cognitive functions, exhibiting topologically functional distinctions. Although long-range pathways of the IC have been extensively mapped, the cont... read more 

Reveal Principles of Codon Optimization via Machine Learning

bioRxiv
High level of protein expression is usually welcomed in industry and research, and codon optimization is widely used to achieve high expression. Methods of implementing codon optimization can be divided into two branches, one is classical methods whi... read more 

MedSafe-Dx (v0): A Safety-Focused Benchmark for Evaluating LLMs in Clinical Diagnostic Decision Support

medRxiv
MedSafe-Dx (v0), introduces a new safety-focused benchmark for evaluating large language models in clinical diagnostic decision support using a filtered subset of the DDx Plus dataset (N=250). MedSafe-Dx evaluates three dimensions: escalation sensiti... read more