Artificial Intelligence Medical Compendium

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

Showing 24,481 to 24,490 of 217,425 articles

Hybrid CNN and Multi-Head Attention Model for Analyzing Epigenetic Mechanisms and Gene Expression Across Fungal Phylogenetic Distances

bioRxiv Apr 30, 2026
Understanding gene expression is crucial for optimizing biological processes in bioeconomic processes, human health, and environmental regulation. Epigenetic modifications significantly influence gene expression by altering chromatin structure and DN... read more 
systems biology

Overcoming systematic data biases enables accurate prediction of enzyme kcat fold-changes for computational protein design

bioRxiv Apr 30, 2026
Machine learning is increasingly used to guide protein engineering by predicting how mutations affect desired properties. Recent models for the turnover number (kcat) of enzymes report high accuracy, suggesting that mutation effects can be inferred d... read more 
bioinformatics

Systematic evaluation and benchmarking of text summarization methods for biomedical literature: From word-frequency methods to language models

bioRxiv Apr 30, 2026
The rapid expansion of biomedical literature demands automated summarization tools that can reliably condense research articles into concise, accurate overviews. We benchmarked 62 text summarization methods - ranging from frequency-based and TextRank... read more 
bioinformatics

Neural dynamics outside task-coding dimensions drive decision trajectories through transient amplification

bioRxiv Apr 29, 2026
Linking neural activity to behavior typically involves identifying activity subspaces that encode task information, such as stimuli, memory, and choices. However, it is unclear whether activity in these "coding dimensions" drives behavior or merely r... read more 
neuroscience

Quantifying information stored in synaptic connections rather than in firing activities of neural networks

bioRxiv Apr 29, 2026
A cornerstone of our understanding of both biological and artificial neural networks is that they store information in the strengths of synaptic connections among the neurons. However, in contrast to the well-established theory for quantifying inform... read more 
neuroscience

Deterministic retrieval recovers biomedical associations lost by language models

bioRxiv Apr 29, 2026
Large language model (LLM)-based retrieval systems miss biomedical associations through output truncation, synonym mismatch and run-to-run variability, but the magnitude of this loss remains unclear. We present BioChirp, an open-source framework that... read more 
bioinformatics

GenPept-Curated-2025: A Benchmark Dataset for Antimicrobial Peptide Prediction with Homology-Controlled Partitioning

bioRxiv Apr 29, 2026
Antimicrobial peptides (AMPs) are promising therapeutic candidates against rising antimicrobial resistance, yet progress in AMP prediction is hampered by the lack of benchmark datasets that address homology leakage, negative set reliability, and dist... read more 
bioinformatics

SpikeLab: Agentic tools for spike data analysis

bioRxiv Apr 29, 2026
Large language models have the potential to transform scientific research and analysis, but without domain-specific structure they produce silent methodological errors, unreported decisions, and irreproducible results. Here we present SpikeLab, a tex... read more 
neuroscience

Scalable machine learning improves resistance prediction and identifies novel determinants in Mycobacterium tuberculosis

bioRxiv Apr 29, 2026
Multidrug-resistant and extensively drug-resistant Mycobacterium tuberculosis (MTB) represents a growing global health crisis, characterized by limited treatment options and high mortality rates. Rapid and accurate prediction of resistance profiles i... read more 
bioinformatics

Advancing ab initio genome annotation with OrionGeno

bioRxiv Apr 29, 2026
The rapid expansion of eukaryotic genome sequencing has created an urgent demand for scalable and accurate gene annotation, particularly for large-scale genomic initiatives such as the Earth BioGenome Project (EBP). Existing ab initio methods often s... read more 
bioinformatics
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