Artificial Intelligence Medical Compendium

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

Showing 14,101 to 14,110 of 211,462 articles

De novo designed cyclic MC4R peptide agonist reduces food intake in mice

bioRxiv
Deep learning-based structure prediction enables the design of peptide ligands without relying on naturally occurring scaffolds. However, most computationally generated peptides are not advanced beyond initial activity measurements, leaving the path ... read more 

Progeny differentiation in faba bean using hyperspectral images and machine learning

bioRxiv
Though currently a minor crop, faba bean is a promising source of plant-based protein as global diets shift towards more plant-based nutrition. To realise this potential, advances in breeding and cultivation are crucial. To exploit heterosis, faba be... read more 

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