Artificial Intelligence Medical Compendium

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

Showing 46,411 to 46,420 of 224,055 articles

[Albumin-myoestatosis gauge assisted by an artificial intelligence tool as a prognostic factor in patients with metastatic colorectal-cancer].

Nutricion hospitalaria
Objectives: to evaluate the prognostic role of the marker albumin-myosteatosis (MAM) in Caucasian patients with metastatic colorectal cancer. Material and methods: this study involved 55 consecutive Caucasian patients diagnosed with metastatic colore... read more 

Deep genomic models of allele-specific measurements

bioRxiv
Allele-specific quantification of sequencing data, such as gene expression, allows for a causal investigation of how DNA sequence variations influence cis gene regulation. Current methods for analyzing allele-specific measurements for causal analysis... read more 

A Data-Driven Image Extraction and Analysis Pipeline for Plant Phenotyping in Controlled Environments

bioRxiv
Advances in automation, imaging, and artificial intelligence have enabled researchers to capture large volumes of high-quality plant data for understanding crop growth, stress, and genotype-by-environment interactions. While genomics has achieved rem... read more 

Uncertainty-aware synthetic lethality prediction with pretrained foundation models

bioRxiv
Synthetic lethality (SL) offers a promising paradigm for targeted cancer therapy, yet experimental identification of SL gene pairs remains costly, context-dependent, and biased toward well-studied genes. Existing computational approaches often rely o... read more 

MAP: A Knowledge-driven Framework for Predicting Single-cell Responses for Unprofiled Drugs

bioRxiv
Predicting how cells respond to chemical perturbations is one of the goals for building virtual cells, yet experimentally profiled compounds cover only a small fraction of this space. Existing models struggle to generalize to unprofiled compounds, as... read more 

AbiOmics: An End-to-End Pipeline to Train Machine Learning Models for Discrimination of Plant Abiotic Stresses Using Transcriptomic Profiling Data

bioRxiv
Abiotic stresses are primary constraints on global crop productivity, reducing yields by up to 80%. While traditional phenotypic sensing detects stress only after physiological symptoms emerge and often fails to discriminate specific stressor types, ... read more 

PantheonOS: An Evolvable Multi-Agent Framework for Automatic Genomics Discovery

bioRxiv
The convergence of large language model-powered autonomous agent systems and single-cell biology promises a paradigm shift in biomedical discovery. However, existing biological agent systems, building upon single-agent architectures, are narrowly spe... read more 

Cross hybridization Inference for Phylogenetic Resolution (CIPHR)-FISH enables microbiome imaging with strain level taxonomic resolution

bioRxiv
The spatial organization of microbial communities is a critical determinant of host-microbe interactions, yet species-level mapping remains challenging due to high 16S rRNA sequence homology and spectral crosstalk in multiplexed fluorescence in situ ... read more 

Quantification of the effects of single nucleotide variants in NKX2.1 transcription factor binding sites

bioRxiv
Transcription factors recognise and bind specific DNA sequence patterns in promoters and enhancers thereby regulating gene expression. Variations in the DNA sequence of transcription factor binding sites (TFBSs) can alter gene regulation and may disr... read more 

Multimodal EHR-Based Prediction of Pediatric Asthma Exacerbations

medRxiv
Pediatric asthma exacerbations are a frequent cause of emergency department (ED) visits and hospitalizations, yet accurate risk prediction remains limited and no consensus risk scores exist. Using UF Health electronic health records (EHRs) from 2011-... read more