Artificial Intelligence Medical Compendium

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

Showing 22,591 to 22,600 of 216,842 articles

Single-molecule detection of amino acid phosphorylation using electron tunnelling currents: toward neurodegenerative disease diagnosis.

Nanoscale
Protein phosphorylation is one of the most prevalent post-translational modifications regulating biological functions, and its dysregulation is closely associated with neurodegenerative diseases such as Alzheimer's and Parkinson's disease. Despite ex... read more 

Phase Engineering of Nanomaterials (PEN): Evolution, Current Challenges, and Future Opportunities.

Advanced materials (Deerfield Beach, Fla.)
Phase engineering of nanomaterials (PEN) has emerged as a new research field by enabling precise control of crystallographic phases at the nanometer scale. The capability of stabilizing unconventional phases unlocks a vast library of physiochemical p... read more 

CellFuse enables Multi-modal Integration of Single-cell and Spatial Proteomics Data for Systems-level Analysis in Cancer.

Cancer research
Analysis of tumors using single-cell and spatial modalities is critical to advance our understanding of cancer. The growth of technologies that enable these studies provides an increasing number of single cell datasets. Integrating such data across s... read more 

EDC Profiler: A High-Throughput Screening Server for Identifying Endocrine Disrupting Chemicals toward Multiple Nuclear Receptors.

Environmental science & technology
Endocrine disrupting chemicals (EDCs) are associated with various adverse health outcomes, thus necessitating high-throughput screening. However, current EDC screening models struggle to achieve high predictive performance and biological interpretabi... read more 

The utilization of Artificial Intelligence-based conversational agents on mental health care for older adults: a scoping review.

Aging & mental health
OBJECTIVES: Conversational Agents (CAs), commonly referred to as chatbots, are increasingly employed in mental health care, with applications ranging from assessments to patient communication and psychoeducation. Recent advancements in Artificial Int... read more 

Laser-induced hyperspectral fluorescence for spatio-chemical detection of sunscreen contaminants in food-grade sea salt using sparse PCA-SVM analysis.

Environmental geochemistry and health
Sea salt increasingly harbors organic contaminants from personal care products, yet current monitoring methods lack spatial resolution and require destructive sampling. This study introduces an innovative analytical framework integrating Laser-Induce... read more 

Short-horizon PM2.5 forecasting from multi-station networks: a mask-aware, leakage-safe framework.

Environmental monitoring and assessment
Accurate short-horizon forecasts of fine particulate matter (PM₂.₅) at station resolution are critical for advisories, clinical preparedness, and episodic controls. We offer a framework for multi-station PM₂.₅ forecasting over operational hourly netw... read more 

Combining generative large language models and pretrained language models for predicting acute respiratory distress syndrome progression.

Medical & biological engineering & computing
Acute Respiratory Distress Syndrome (ARDS) is a life-threatening condition in which early diagnosis and timely intervention are crucial. Recent research into machine learning for predicting ARDS progression based on objective clinical data has been h... read more