Artificial Intelligence Medical Compendium

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

Showing 24,861 to 24,870 of 217,472 articles

A multimodal EMG and IMU dataset for assessing the quality of exercises designed for spatially constrained environments.

Data in brief
Regular physical training is essential for maintaining physical fitness in environments where exercise must be performed in limited space and without direct professional supervision. In such settings, degraded exercise execution may reduce training e... read more 

Tracing the evolution of cardiology: Pioneering discoveries and paradigm shifts in cardiovascular care.

American heart journal plus : cardiology research and practice
Cardiology has undergone an impressive transformation from the initial anatomical observations of William Harvey to the current data-driven precision medicine. This review highlights the major milestones that have defined the field's evolution along ... read more 

Phase-dependent nutrient requirements of broiler breeder hens for day-old chick production in a field study using interpretable machine learning.

Poultry science
Day-old chick output from broiler breeder flocks is a key determinant of efficiency in the global poultry industry and is highly sensitive to breeder nutrition. This study aimed to quantify phase-dependent requirements of metabolizable energy and dig... read more 

TcrDesign: de novo design of epitope-specific full-length T cell receptors.

Science China. Life sciences
T cell receptors (TCRs) are essential for adaptive immune recognition. Recently, computational tools have been developed to predict the interactions between TCR and epitope, and artificial intelligence models have been proposed to generate the comple... read more 

Serpinh1 promotes fracture healing by enhancing osteogenesis via activation of the Wnt/β-catenin signaling pathway.

Biochemical and biophysical research communications
BACKGROUND: The process of fracture healing encompasses tightly regulated cellular and molecular interactions. However, the precise regulatory mechanisms that orchestrate osteogenesis during bone regeneration remain unclear. METHODS: Fracture healing... read more 

Benchmarking physics-inspired machine learning models for transition metal complexes with diverse charge and spin states.

Digital discovery
Physics-inspired machine learning (ML) models can be categorized into two classes: those relying solely on three-dimensional structure and those incorporating electronic information. In this work, we benchmark both classes for predicting quantum-chem... read more 

Machine learning-assisted multimodal lateral flow immunoassay based on urchin-like Au@Pt nanoparticles for quantitative determination of febuxostat in functional foods.

Analytica chimica acta
BACKGROUND: The illegal addition of febuxostat (FEB) to functional foods poses a significant food safety risk and calls for rapid and reliable analytical methods. Conventional single-signal lateral flow immunoassays (LFIAs) often show limited quantit... read more 

Advances in mosquito-borne disease surveillance using machine learning.

New microbes and new infections
Mosquito-borne diseases remain a major global health challenge, disproportionately impacting low- and middle-income countries. Despite traditional control and surveillance efforts, many of these diseases are resurging, driven by climate change, urban... read more 

Distinct bile mycobiome signature identifies fungal peptide panel predictive for gallbladder carcinoma.

Molecular therapy. Oncology
Carcinoma of the gallbladder (CAGB) carries a poor prognosis. While alterations in the bile microbiome and lipidome have been linked to CAGB development, the contribution of the fungal microbiome remains unexplored. We investigated fungal microbiome ... read more 

Are machine learning models superior to logistic regression models to predict 30-day mortality post-hip fracture surgery?

JBMR plus
Hip fractures represent a significant global health burden, with high mortality rates. Accurate prediction of 30-d postoperative mortality is instrumental to optimize patient care. This study aimed to validate previously developed logistic regression... read more