Artificial Intelligence Medical Compendium

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

Showing 50,641 to 50,650 of 225,062 articles

Patterns of preventable death and government response compliance across Australian coronial jurisdictions: a natural language processing analysis of 9833 findings

medRxiv Feb 14, 2026
ABSTRACT Objectives: To quantify patterns of preventable death in Australian coronial findings, measure government compliance with coroner recommendations across jurisdictions, and identify case characteristics associated with recommendation issuance... read more 
public and global health

Analysis of Age-Specific Dysregulation of miRNAs in Lung Cancer Via Machine learning: Biomarker Identification and Therapeutic Implications in Patients Aged 60 and Above.

bioRxiv Feb 14, 2026
Lung cancer is the leading cause of cancer-related mortality worldwide, predominantly affects older individuals, with non-small cell lung cancer (NSCLC) comprising 85% of cases. Despite advancements in diagnosis and treatment, prognosis for elderly p... read more 
bioinformatics

Enhancing ML-based binder design with high-throughput screening: a comparison of mRNA and yeast display technologies

bioRxiv Feb 14, 2026
Recent advances in machine learning (ML)-based protein design methods have enabled the rapid in silico generation of large libraries of miniprotein binders with minimal manual input. While computational design capacity has scaled rapidly, experimenta... read more 
bioengineering

evoCancerGPT: Generating Zero-Shot Single-Cell and Single-Sample Cancer Progression Through Transfer Learning

bioRxiv Feb 14, 2026
Cancer evolution is driven by complex changes in gene expression as cells transition and change states during tumorigenesis. Single-cell RNA sequencing has provided snapshot insights into how the transcriptomics of tumors evolve, but whether the exis... read more 
bioinformatics

Inferring unobserved vector dynamics for dengue forecasting using physics-informed neural networks and mechanistic transmission models

bioRxiv Feb 14, 2026
Accurately characterising mosquito infection dynamics is essential for effective dengue prevention and control, yet these dynamics are rarely observable through routine surveillance. Here, we integrate a reduced SI-SIR transmission model with monthly... read more 
ecology

CausalCellInfer: Resolving cell-type-specific disease mechanisms from biobank-scale GWAS

medRxiv Feb 14, 2026
Integrating the cellular resolution of single-cell RNA sequencing (scRNA-seq) with the phenotypic depth of population-scale biobanks is essential for elucidating the cellular basis of complex diseases. However, this integration is often hindered by t... read more 
genetic and genomic medicine

MassID provides near complete annotation of metabolomics data with identification probabilities

bioRxiv Feb 14, 2026
Liquid chromatography coupled to mass spectrometry (LC/MS) is a powerful tool in metabolomics research, generating tens-of-thousands of signals from a single biological sample. However, current software solutions for unbiased assessment of metabolomi... read more 
bioinformatics

Noradrenergic neuromodulation produces a NMDAR-dependent network state of respiratory rhythmogenesis in the preBotzinger Complex

bioRxiv Feb 14, 2026
Norepinephrine (NE) is an important mediator of sympathetic activity that influences breathing. At the level of the inspiratory neural network, the preBotzinger complex (preBotC), NE modulation orchestrates changes in neuronal network dynamics that i... read more 
neuroscience

High-Resolution 3D Histology of the Murine Kidney Using Synchrotron X-Ray Micro-CT

bioRxiv Feb 14, 2026
Conventional two-dimensional (2D) histology relies upon destructive sample preparation and stereological estimation, frequently leading to sampling bias and loss of critical spatial context required for understanding renal structure relationships. He... read more 
systems biology

Cell phenotypes in the biomedical literature: a systematic analysis and text mining corpus

bioRxiv Feb 14, 2026
The variety of cell phenotypes identified by single-cell technologies is rapidly expanding, yet this knowledge is dispersed across the scientific literature and incompletely represented in structured resources. We present the CellLink corpus, a manua... read more 
bioinformatics
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