Artificial Intelligence Medical Compendium

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

Showing 3,051 to 3,060 of 202,937 articles

Machine learning-guided multi-omics suggests iron-dependent hormonal signaling drives root morphological plasticity in wheat under temperature stress.

The New phytologist
Root plasticity is crucial for crop survival under climate change. However, the coordinated regulatory network between metabolic disturbances and hormonal signaling that drives morphological adaptation under temperature fluctuations remains unclear. ... read more 

A pH-Responsive Antimicrobial Peptide Coating with Efficient Antibacterial Activity and Preserved Oral Microbiota Homeostasis during Clear Aligner Treatment.

ACS applied materials & interfaces
Bacterial adhesion and biofilm formation pose significant clinical challenges in clear aligner therapy, adversely affecting both oral health and aesthetics. In this study, a machine learning-driven strategy was used to develop a novel antimicrobial p... read more 

Artificial Intelligence Policies in Human Anatomy Journals: A Comparative Analysis and Recommendations.

Clinical anatomy (New York, N.Y.)
Professional organizations in human anatomy have not yet issued guidance on the use of artificial intelligence (AI) in scholarship, leaving decisions about its permissibility to individual journals and publishers. To date, however, journal and publis... read more 

Symptom burden in dialysis patients: determinants and impact on mortality.

Journal of nephrology
BACKGROUND: Symptom burden in chronic kidney disease (CKD) patients has a negative impact on functional status and quality of life. Despite the high prevalence among hemodialysis (HD) patients, symptoms are often underestimated. We investigated the d... read more 

Results of a new model of videotraining for patients and caregivers for peritoneal dialysis: food for (AI) thought?

Journal of nephrology
BACKGROUND: In an attempt to overcome the space-time limitations of traditional training we used a new telemedicine home-training model (Videotraining). We report our analysis of Videotraining for automated peritoneal dialysis (APD) carried out betwe... read more 

Precise calcium-to-spike inference using biophysical generative models

bioRxiv
The intramolecular dynamics of fluorescent calcium indicators distort the relationship between calcium signals and action potentials (spikes), hampering efficient spike inference from calcium imaging. To address this problem, we characterized the cal... read more 

Relational homeostatic scaling supports stable rate-code transmission under noise and heterogeneity

bioRxiv
Reliable transmission of firing-rate signals through neural circuits requires synaptic coupling to remain within a narrow regime shaped by neuronal heterogeneity and noise. Outside this regime, classical theory predicts that activity will dissipate o... read more 

The machine-learning classifier ALLCatchR2 identifies 20 T-ALL subtypes across cohorts and age groups

bioRxiv
T-cell acute lymphoblastic leukemia (T-ALL) comprises molecularly diverse subtypes, but robust cross-cohort validations and operational gene-expression definitions are lacking. To establish a gene-expression-anchored framework for T-ALL subtyping, we... read more 

Network analysis of pairwise relative tuberculosis transmission probabilities in Lima, Peru.

American journal of epidemiology
Identifying transmission events is important in understanding infectious disease dynamics. Such events are typically unobservable, particularly in respiratory diseases such as tuberculosis (TB). We apply network techniques to identify transmission cl... read more 

MyoPath: A Deep Learning Pipeline for Objective Morphometric Assessment of Skeletal Muscle Biopsies

medRxiv
Histopathological evaluation of skeletal muscle biopsies relies on subjective, semi-quantitative assessment with no standardized grading system. We developed a four-tissue deep learning segmentation pipeline using Cellpose-SAM for myofiber instance s... read more