Artificial Intelligence Medical Compendium

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

Showing 54,131 to 54,140 of 225,930 articles

ProtLoc-GRPO: Cell line-specific subcellular localization prediction using a graph-based model and reinforcement learning.

Biophysical journal
Subcellular localization prediction is crucial for understanding protein functions and cellular processes. Subcellular localization is dependent on tissue and cell lines derived from different cell types. Predicting cell line-specific subcellular loc... read more 

Dual-kingdom necrobiome succession extends postmortem interval estimation into skeletonization.

Forensic science international. Genetics
Forensic estimation of the postmortem interval (PMI) becomes increasingly challenging when decomposition progresses beyond the initial weeks, as traditional medicolegal indicators lose their temporal precision. Here, we demonstrate that dual-kingdom ... read more 

Iatrogenic plasticizer Di(2-ethylhexyl) phthalate (DEHP) exposure increases Sepsis mortality risk: Machine learning implicates monocyte-driven immune dysregulation.

Toxicology and applied pharmacology
Sepsis poses a significant global health burden, and ICU patients are disproportionately exposed to di(2-ethylhexyl) phthalate (DEHP), an immunotoxic plasticizer that leaches from PVC medical devices; however, whether this exposure causally influence... read more 

Pioneering the future: Delivering the first digitally generated CMC post-approval change dossier to global regulators simultaneously.

Journal of pharmaceutical sciences
As medicinal products and their manufacturing processes evolve, biopharmaceutical companies must continuously manage, document, and submit post-approval chemistry, manufacturing, and controls (CMC) changes to global health authorities. Traditionally,... read more 

Driving factors and predictive model of dissolved N2O concentrations in a complex aquatic network.

Environmental research
Inland water networks, comprising hydrologically integrated rivers, agricultural ditches, and aquaculture ponds, are significant N2O sources, yet their complexity impedes accurate quantification. Here we developed an integrated framework combining st... read more 

A Novel Risk Calculator for Nonhome Discharge after Lower Extremity Bypass.

Annals of vascular surgery
BACKGROUND: Nonhome discharge (NHD) after lower extremity bypass is associated with discharge delays, increased postdischarge complications, and reduced patient quality of life. Accurate risk assessment would enhance shared decision-making, preoperat... read more 

Prioritizing nurse-patient relationships in the digital transformation of nursing: A discussion paper.

International journal of nursing studies
Healthcare is undergoing rapid digital transformation, with artificial intelligence (AI), automated documentation, and predictive analytics now integrated into clinical workflows. These technologies promise to reduce administrative burden and expand ... read more 

Learning with less: A survey of deep learning in medical imaging under varying supervision levels.

Artificial intelligence in medicine
The rapid evolution of deep learning has significantly advanced the field of medical image analysis. However, despite these achievements, further progress is hindered by the scarcity of large, well-annotated datasets. To overcome this limitation, rec... read more 

Development and validation of a fentanyl quantification model for drug checking services.

Drug and alcohol dependence reports
BACKGROUND: Drug checking services are becoming increasingly popular. Despite the significant variability in fentanyl concentrations observed in the unregulated opioid supply, quantifying fentanyl concentrations using community drug checking technolo... read more