Artificial Intelligence Medical Compendium

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

Showing 11,291 to 11,300 of 209,934 articles

Groundwater quality assessment in Bihar's aquifers: a machine learning approach.

Environmental science and pollution research international
Globally, the primary concern affecting the suitability of groundwater for drinking is the presence of numerous chemical contaminants in large-scale aquifer systems. Therefore, it is essential to establish reliable methods for assessing groundwater q... read more 

Enabling Drug-Drug Interaction Event Prediction with Multi-view-enhanced Chemical Structural Information.

Interdisciplinary sciences, computational life sciences
Predicting drug-drug interaction (DDI) events is critical for ensuring patient safety, optimizing therapeutic efficacy, and advancing drug discovery. Deep learning-based models have recently attracted considerable attention in this domain and achieve... read more 

Building the adult growth hormone deficiency data mart: a Real-World model of AI-driven clinical data extraction in a single Italian center.

Journal of endocrinological investigation
PURPOSE: Adult Growth Hormone Deficiency (AGHD) is a complex and under-recognized condition, mainly managed in outpatient settings and characterized by fragmented and heterogeneous clinical data. Population registries provide high-quality evidence bu... read more 

Lessons from the first U.S. school districts with real-time indoor environmental quality (IEQ) sensors in classrooms: benefits, barriers and opportunities.

Environmental research, health : ERH
With aging buildings, rising temperatures, and limited budgets, school districts in the United States need effective strategies to address classroom environmental issues, secure funding for upgrades, and develop climate resilience plans. Collecting r... read more 

From noisy labels to intrinsic structure: A geometric-structural dual-guided framework for noise-robust medical image segmentation.

Medical image analysis
The effectiveness of convolutional neural networks in medical image segmentation relies on large-scale, high-quality annotations, which are costly and time-consuming to obtain. Even expert-labeled datasets inevitably contain noise arising from subjec... read more 

Applying artificial intelligence and machine learning framework for de novo design of pyrazole-based VEGFR-2 inhibitors.

Journal of molecular graphics & modelling
VEGFR-2 is an important target for oncological interventions due to its key role in angiogenesis, a biological process vital for tumour expansion and metastasis. The targeted blockade of VEGFR-2 has emerged as a promising treatment approach across a ... read more 

Non-invasive somatotopic proprioceptive feedback for closed-loop robotic hand aperture control.

Journal of neural engineering
Objective.Current robotic prostheses developed for individuals with transradial amputation often lack physiological feedback, particularly proprioceptive information, which limits control precision and increases reliance on vision.Approach.This study... read more 

WITHDRAWN: Scalable Microbiome Network Inference: Mitigating Sparsity and Computational Bottlenecks in Random Effects Models

bioRxiv
The application of Large Language Models (LLMs) and Transformers to biological and healthcare datasets requires the extraction of highly accurate, noise-filtered ecological networks. The Random Effects Model (REM) is a powerful statistical method for... read more 

Automated sleep scoring in hibernating and non-hibernating American black bears

bioRxiv
Hibernating bears show remarkable metabolic suppression. Their decline in core body temperature (Tb) is moderate(from 38{degrees}C to 30-35{degrees}C), but their metabolism declines as much as 75%. To understand the role of sleep in this hypometaboli... read more 

Inducible lipid storage and steatosis in the human choroid plexus associated with age and adiposity

bioRxiv
Cells that store lipids for other cells or organs can contain ''giant'' or large lipid droplets (LLDs) greater than 2 m in diameter. In this study, human postmortem choroid plexus was evaluated for lipid droplets. Staining with hematoxylin and eosin ... read more