AI Medical Compendium

Generating realistic artificial human genomes using adversarial autoencoders.

NAR genomics and bioinformatics Jul 24, 2025

A publicly available human genome is both valuable to researchers and a risk for its donor. Many actors could exploit it to extract information about the donor's health or that of their relatives. Recent efforts have employed artificial intelligence ... read more

Humans Artificial Intelligence Algorithms Genomics Mutation Genome, Human Autoencoder Linkage Disequilibrium

Utilizing protein structure graph embeddings to predict the pathogenicity of missense variants.

NAR genomics and bioinformatics Jul 24, 2025

Genetic variants can impact the structure of the corresponding protein, which can have detrimental effects on protein function. While the effect of protein-truncating variants is often easier to evaluate, most genetic variants that affect the protein... read more

Humans Machine Learning Algorithms Computational Biology Proteins Protein Conformation Mutation, Missense

Comparison of machine learning models to predict loss to follow-up among people with Human Immunodeficiency Virus (HIV).

JAMIA open Jul 24, 2025

OBJECTIVE: To compare different machine learning models of loss to follow-up among people with HIV (PWH). read more

Hijacked Brain in Modern Obesity: Cue, Habit, Addiction, Emotion, and Restraint as Targets for Personalized Digital Therapy and Electroceuticals.

Journal of obesity & metabolic syndrome Jul 24, 2025

The global obesity epidemic can no longer be explained by personal choice or caloric excess alone. Mounting evidence points to underlying neurobehavioral dysfunction, exacerbated by environments engineered to promote overconsumption. Modern obesity i... read more

Exploring the social life of urban spaces through AI.

Proceedings of the National Academy of Sciences of the United States of America Jul 24, 2025

We analyze changes in pedestrian behavior over a 30-y period in four urban public spaces located in New York, Boston, and Philadelphia. Building on William Whyte's observational work, which involved manual video analysis of pedestrian behaviors, we e... read more

Humans Artificial Intelligence Cities Urban Population Walking Pedestrians Philadelphia Boston

Mycophenolate mofetil-induced colitis versus colonic graft-versus-host disease: a comparative histologic study with artificial intelligence model development.

Histopathology Jul 24, 2025

AIM: The aim of this study was to compare the histopathologic features of MMF-induced colitis and colonic GVHD and develop a digital tool using deep learning convolutional neural networks (CNNs) to semi-automate the quantification of eosinophils. read more

Automated radiotherapy treatment planning guided by GPT-4Vision.

Physics in medicine and biology Jul 24, 2025

. Radiotherapy treatment planning is a time-consuming and potentially subjective process that requires iterative adjustment of model parameters to balance multiple conflicting objectives. Recent advancements in frontier artificial intelligence (AI) m... read more

Humans Artificial Intelligence Male Prostatic Neoplasms Radiotherapy Planning, Computer-Assisted Automation Radiotherapy Dosage

Fast identification of influenza using label-free SERS combined with machine learning algorithms clinical nasal swab samples.

Analytical methods : advancing methods and applications Jul 24, 2025

Influenza virus outbreaks, which have become more frequent in recent years, have attracted global attention. Reverse transcription-polymerase chain reaction (RT-PCR) and enzyme-linked immunosorbent assay (ELISA), as the "gold standard" methods for vi... read more

Humans Machine Learning Algorithms Spectrum Analysis, Raman Support Vector Machine Principal Component Analysis Discriminant Analysis Influenza, Human

Deep Learning to Differentiate Parkinsonian Syndromes Using Multimodal Magnetic Resonance Imaging: A Proof-of-Concept Study.

Movement disorders : official journal of the Movement Disorder Society Jul 24, 2025

BACKGROUND: The differentiation between multiple system atrophy (MSA) and Parkinson's disease (PD) based on clinical diagnostic criteria can be challenging, especially at an early stage. Leveraging deep learning methods and magnetic resonance imaging... read more

Limitations of Current Machine-Learning Models in Predicting Enzymatic Functions for Uncharacterized Proteins.

G3 (Bethesda, Md.) Jul 24, 2025

Thirty to seventy percent of proteins in any given genome have no assigned function and have been labeled as the protein "unknome". This large knowledge shortfall is one of the final frontiers of biology. Machine-Learning (ML) approaches are enticing... read more

Artificial Intelligence Medical Compendium