Artificial Intelligence Medical Compendium

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

Showing 12,851 to 12,860 of 210,785 articles

The development and application of deep learning for stem cell research.

Journal of genetics and genomics = Yi chuan xue bao
Stem cells reside in specific microenvironments where they divide to maintain themselves and differentiate into functional cells that replace old, dead, or damaged cells to maintain tissue homeostasis. Some stem cells could also be cultured in vitro ... read more 

Evaluation of suicide behavior screening tools using machine learning and variable importance measures.

Journal of affective disorders
Suicide screening in military primary care settings is often conducted with a small number of self-report questions. The PRImary care Screening Methods (PRISM) study investigates how to enhance this screening's predictive validity by supplementing th... read more 

Machine learning modeling of acute inhalation toxicity using an RFA-RFR framework, supported by explainable AI and SALI-based activity cliff analysis.

Journal of pharmacological and toxicological methods
The present study develops machine learning models to predict the acute inhalation toxicity (pLC₅₀) of a diverse set of 552 molecules. Following dataset curation from the Integrated Chemical Environment (ICE) database, 3D molecular structures were ge... read more 

Phage ImmunoPrecipitation sequencing (PhIP-Seq) in autoimmunity research: From high-resolution epitope mapping to multi-omics integration.

Autoimmunity reviews
Autoimmune diseases (AIDs) affect 5-10% of the global population, yet effective diagnosis and treatment remain challenging due to their complexity and heterogeneity. Autoantibodies serve as crucial biomarkers for disease classification and prognosis,... read more 

Risk Prediction Model for Critical Illness in Connective Tissue Disease-associated Interstitial Lung Disease.

SLAS technology
OBJECTIVE: This study was to optimize the current methods for identifying and predicting the risk of critical illness in patients with connective tissue disease-associated interstitial lung disease (CTD-ILD). METHODS: First, 200 patients diagnosed wi... read more 

Longitudinal Plasma Proteomics Reveals an Immuno-thrombotic Signature that Predicts Radiation Pneumonitis in Lung Cancer.

International journal of radiation oncology, biology, physics
PURPOSE: Radiation pneumonitis (RP) is a dose-limiting toxicity in lung cancer radiotherapy, often poorly predicted by static clinical and dosimetric models. We aimed to identify a robust, blood-based proteomic signature grounded in the longitudinal ... read more 

Comparative RSM-ML analysis to predict cellulase production from Lysinibacillus capsici isolate using banana pseudostem as a sustainable substrate.

International journal of biological macromolecules
A key bottleneck in the sustainable valorization of lignocellulosic biomass remains the efficient, low-cost production of cellulase. Although widely used, Response Surface Methodology (RSM) is limited by its quadratic assumptions, which may not captu... read more 

Advances in laboratory diagnostic studies of pheochromocytoma and paraganglioma.

Clinica chimica acta; international journal of clinical chemistry
Pheochromocytoma (PCC) and paraganglioma (PGL), collectively referred to as pheochromocytomas and paragangliomas (PPGLs), are rare neuroendocrine tumors characterized by marked genetic susceptibility and substantial biological heterogeneity. Given th... read more 

Disorganization of inner retinal layers and disruption of outer retinal layers as predictors of anti-vascular endothelial growth factor treatment outcomes in diabetic macular edema: A scoping review.

Survey of ophthalmology
We systematically map the evidence on optical coherence tomography (OCT) biomarkers-mainly disorganization of the retinal inner layers (DRIL), disruption of the retinal outer layers (DROL, including ellipsoid zone, and external limiting membrane,--an... read more