Artificial Intelligence Medical Compendium

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

Showing 13,251 to 13,260 of 211,153 articles

S-IGTD: supervised tabular-to-image topology learning via between-group correlation for multiclass classification of biological data

bioRxiv
Motivation: Tabular-to-image methods allow convolutional neural network (CNN)-based classifiers to analyse high-dimensional biological tables by mapping features onto a two-dimensional grid. Existing layouts are usually driven by unsupervised global ... read more 

BioRAG-DRAG: A Multimodal Biological Retrieval Layer for Local-First Biomedical Agents

bioRxiv
Biomedical agents need reliable access to heterogeneous evidence: literature text, gene and pathway records, protein sequences, DNA/cDNA sequences, and structured biological relations. Classical sequence tools such as BLAST remain the right choice fo... read more 

Equilibrium Propagation with Predictive Learning in Leaky Integrate-and-Fire Spiking Neural Networks

bioRxiv
Equilibrium propagation (EP) is a biologically plausible alternative to backpropagation that has demonstrated competitive performance across a range of machine learning tasks. Recent work has extended EP to spiking neural networks (SNNs), leveraging ... read more 

Antimicrobial peptide databases and prediction tools: Toward a standard evaluation framework

bioRxiv
Antimicrobial resistance (AMR) has a profound impact on animal and human health and is associated with substantial morbidity, mortality and public health costs. There is a clear need to develop novel, effective antibiotic agents, which can overcome t... read more 

DigitAb: Domain-Adaptive Cell Type Prediction Method from Light Microscopy Images

bioRxiv
Light microscopy imaging with histological stains is central to disease diagnosis and research. It is enhanced with immunostaining to reveal cellular composition and complexity linked to clinical utility and biological mechanisms. Emerging multiplex ... read more 

A single-nucleotide change in the Kozak sequence enhances protein expression

bioRxiv
In vitro-transcribed messenger RNA (IVT mRNA) has emerged as a versatile protein expression platform with broad clinical potential. Current optimization strategies for IVT mRNA focus on untranslated regions (UTRs), mRNA stability, and codon usage, of... read more 

RANKOR: Direct Drug Prioritization from Bulk and Single-Cell Transcriptomic Signatures

bioRxiv
Background Prioritizing therapeutics from transcriptomic data remains a key challenge in precision medicine. Signature reversal approaches, most commonly implemented through Gene Set Enrichment Analysis (GSEA), have been widely used to match disease ... read more 

Membrane proteomics of the Drosophila circadian neural network

bioRxiv
Circadian behaviors are controlled by dedicated brain pacemaker neurons, whose activity oscillate during the day and the night. The Drosophila brain contains ca. 240 such neurons. Their molecular clock is synchronized, but the phase of their rhythmic... read more 

Synaptic pruning, myelination and the emergence of psychiatric disorders in late adolescence

bioRxiv
Adolescence is an important developmental period during which there are diverse changes in the brain and behavior. Goal-directed behaviors and the component processes underlying those behaviors improve during adolescence, including working memory, re... read more 

Rhythmic temporal structure organizes recurrent dynamics to support sequential working memory

bioRxiv
Rhythmic temporal structure improves working memory, but how this benefit emerges from recurrent dynamics remains unclear. Here, we trained excitatory-inhibitory recurrent neural networks with short-term synaptic plasticity to perform a sequential de... read more