Artificial Intelligence Medical Compendium

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

Showing 11,451 to 11,460 of 209,934 articles

Risk Prediction of Early-Onset Hepatocellular Carcinoma: Derivation and Validation in a Nationwide Young Adult Cohort.

Alimentary pharmacology & therapeutics
BACKGROUND: The global incidence of early-onset hepatocellular carcinoma (eHCC) is increasing significantly; however, specific risk prediction tools for young adults remain scarce. This study aimed to develop and validate predictive models for eHCC u... read more 

Insights From Spatiality: Accelerating Pharmaceutical Research Using Mass Spectrometry Imaging.

Medicinal research reviews
Mass spectrometry imaging (MSI) has emerged as a transformative technology in pharmaceutical research, offering unprecedented capabilities to visualize drug distribution, metabolism, and target engagement in biological tissues. By combining the molec... read more 

Quantum Dot Encoding for In-Solution Single-Molecule Biomarker Counting in Metastatic Prostate Cancer.

ACS nano
Digital assays are in wide development for biomarker quantification at the single-molecule level, but the common use of surface pull-down steps limits both analytical sensitivity and throughput. Here, we develop surface-free, wash-free, in-solution a... read more 

The 3-Body Problem: How Astrocytes May Govern Plasticity.

The Neuroscientist : a review journal bringing neurobiology, neurology and psychiatry
Learning and memory were long thought to be the domains of neurons and neural networks, but recent work across brain systems has established that astrocytes play a role in synaptic plasticity and information storage. However, it remains unclear what ... read more 

A narrative review of the role of AI and machine learning in enhancing cauda equina syndrome diagnosis.

British journal of neurosurgery
INTRODUCTION: Cauda Equina Syndrome (CES) is a neurological emergency requiring rapid diagnosis. Traditional diagnostic methods face challenges due to variable presentations. This review evaluates the clinical performance, limitations, and validation... read more 

Generating Labeled Low-Heterogeneity Transcriptomes Using CRISPRa and CRISPRi Can Improve Phenotype Prediction by Deep Learning.

ACS synthetic biology
The development of deep learning (DL) methods in biology holds great promise for fundamental knowledge, biomedicine, and agriculture. The most global challenge in this area is the development of models that use omics data to predict the complex pheno... read more 

Overcoming LPS-mediated resistance in gram-negative pathogens: a review of LL-37 analogs and computational design strategies.

Archives of microbiology
The increasing incidence of antimicrobial resistance (AMR) in Gram-negative bacteria has become a significant global health issue, driven primarily by the structural and adaptive characteristics of lipopolysaccharide (LPS) in the outer membrane. As a... read more 

Environmental geochemistry and quality assessment of springs water in the Sikkim Himalaya: an entropy-weighted & machine learning approach.

Environmental geochemistry and health
Himalayan rivers are crucial for freshwater supply, ecosystem services, and livelihoods across their course from mountains to floodplains, but climate change, human activities, and geological factors are increasingly degrading water quality. Given th... read more 

Unsupervised anomaly detection for longitudinal comparison in whole-body PET/CT images.

International journal of computer assisted radiology and surgery
PURPOSE: This study investigates the utility of unsupervised anomaly detection for longitudinal comparison of whole-body 18F-fluorodeoxyglucose (FDG)-PET/CT, which (1) reduces false-positive findings compared with subtraction-based methods and (2) en... read more 

Digital Pathology in Head and Neck Squamous Cell Carcinoma: Translational Advances and Clinical Integration for Pathologists, Oncologists, and Surgeons.

Head and neck pathology
PURPOSE: Artificial intelligence (AI)-enabled digital pathology has advanced rapidly in head and neck squamous cell carcinoma (HNSCC), but its readiness for clinical implementation remains uncertain. This review evaluates the translational maturity o... read more