Artificial Intelligence Medical Compendium

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

Showing 28,001 to 28,010 of 219,064 articles

ArchesWeatherGen: Skillful and compute-efficient probabilistic weather forecasting with machine learning.

Science advances
Weather forecasting plays a vital role in today's society, from agriculture and logistics to predicting the output of renewable energies and preparing for extreme weather events. Deep learning weather forecasting models trained with the next state pr... read more 

Accurate density functional theory for noncovalent interactions in charged systems.

Science advances
Accurately modeling noncovalent interactions (NCIs) involving charged systems remains an outstanding challenge in density functional theory (DFT), with implications across natural and life sciences, engineering, e.g., in biochemistry, catalysis, and ... read more 

CryptoBank: A resource for the identification and prediction of cryptic sites in proteins.

Science advances
Cryptic binding sites offer opportunities to modulate targets previously considered "undruggable." However, the scarcity of validated examples limits the development of predictive tools. Here, we introduce CryptoBank, a large-scale database of crypti... read more 

From autonomy to alliance: Robotic foundation models must learn with us, not just for us.

Science robotics
This Viewpoint urges reimagining of robotic foundation models, from treating the robot as a solitary, omnipotent agent to embracing a multiagent, alliance-aware paradigm. Alliance-aware models learn with humans and other robots, not merely for them, ... read more 

FOSL2 regulates endothelial cell state and chromatin accessibility in systemic sclerosis pulmonary vascular remodeling.

JCI insight
Systemic sclerosis (SSc) is characterized by fibrosis and vasculopathy affecting the skin and internal organs, leading to multiorgan dysfunction. Injury of microvascular endothelial cells (ECs) in SSc impairs blood flow and causes tissue ischemia, le... read more 

Relating Model Performance to Embedding Distributions in Molecular Machine Learning.

Journal of chemical information and modeling
Choosing effective molecular representations remains a central challenge in molecular machine learning and is often addressed through costly trial-and-error. While model selection is typically guided solely by predictive performance, analyzing relati... read more 

Engineering Vertically Aligned Boron Nitride Skeletons Bridged by Trace Graphene for High-Performance Thermal Interface Materials.

ACS applied materials & interfaces
Efficient thermal management has become a pivotal bottleneck for the reliability of high-power density electronics, such as 5G communication and artificial intelligence (AI) systems. Traditional thermal interface materials (TIMs) consisting of random... read more 

Amyloidosis secondary to familial Mediterranean fever: machine learning-based prediction models.

Rheumatology (Oxford, England)
OBJECTIVES: Familial Mediterranean Fever (FMF) is a monogenic autoinflammatory disease caused by MEFV mutations, with amyloidosis as its most severe complication. This study aimed to compare logistic regression, random forest, and gradient boosting m... read more 

Treemble: A Graphical Tool to Generate Newick Strings from Phylogenetic Tree Images.

Bioinformatics (Oxford, England)
SUMMARY: Phylogenetic trees are ubiquitous and central to biology, but most published trees are available only as visual diagrams and not in the machine-readable Newick format. There are, thus, thousands of published trees in the scientific literatur... read more 

Racial Differences in the Longitudinal Association Between Perceived Neighborhood Disorder and Allostatic Load.

The Gerontologist
BACKGROUND AND OBJECTIVES: Neighborhood disorder represents an environmental stressor that contributes to physiological wear and tear on the body, known as allostatic load. This study examines racial differences in the longitudinal associations betwe... read more