Artificial Intelligence Medical Compendium

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

Showing 28,291 to 28,300 of 219,260 articles

EconoGNN: A graph neural network framework for temporal economic resilience insights.

PloS one
Global economic shocks such as the 2008 financial crisis or recent trade escalations between the United States and China have exposed the complexity of interdependent economies and the need for systemic, multi-agent analysis. However, most regional e... read more 

Monotherapy cancer drug-blind response prediction is limited to intraclass generalization.

PLoS computational biology
Monotherapy cancer drug response prediction (DRP) models predict the response of a cell line to a given drug. Analyzing these models' performance includes assessing their ability to predict the response of cell lines to new drugs, i.e., drugs that ar... read more 

Thalamocortical regulation of prefrontal stability enables abstract rule generalization.

Science advances
Our ability to generalize abstract rules to new situations is a cognitive hallmark, yet its neural basis is unclear. We identified a thalamocortical circuit essential for this process in mice. During a cross-modal rule transfer task, medial prefronta... read more 

China's lake expansion amplified rapid CO2 emissions.

Science advances
CO2 emissions from lakes play a crucial role in the global carbon cycle, yet their long-term dynamics remain poorly constrained. Here, leveraging a compiled lake CO2 flux dataset, machine learning model, and lake area data, we demonstrated a nationwi... read more 

A tale of two coasts: Unveiling US Gulf and Atlantic coastal cities at high flood risk.

Science advances
Coastal flooding is increasing, with accelerating impacts ahead. Its impact, however, can be mitigated through proactive risk management, requiring comprehensive risk assessment. Using the US Gulf and Atlantic Coasts (USGAC) as a test bed, this study... read more 

Dual computational systems in the development and evolution of mammalian brains.

Science advances
Analyses of brain sizes across mammalian taxonomic groups reveal a consistent pattern of covariation between major brain components, including a robust inverse relationship between the limbic system and the neocortex. To find the functional basis of ... read more 

Wearable thumb sleeves enabled by self-supervised learning with few stretchable sensors and few-shot data for switchable finger tasks.

Science advances
Human fingers exhibiting remarkable dexterity are ideal for natural human-machine interaction. Traditional methods require at least one device per finger and extensive labeled data, often limiting models to a single user and task. Here, we propose a ... read more 

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