Artificial Intelligence Medical Compendium

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

Showing 1,591 to 1,600 of 213,568 articles

Physics-Inspired Latent Dynamics for Predicting Olfactory Mixture Similarity.

Journal of chemical information and modeling
Predicting olfactory similarity between molecular mixtures remains a fundamental challenge due to the absence of a universal structure-percept mapping. Existing approaches often rely on pretrained molecular representations or graph neural networks th... read more 

All-optical computing towards 100-GHz clock rates.

Light, science & applications
A computer's clock rate ultimately determines the minimum time between sequential operations or instructions. Despite exponential advances in electronic computer performance due to Moore's Law and increasingly parallel system architectures, clock rat... read more 

Confidence-guided cryo-EM map optimisation with LocScale-2.0.

Nature communications
Cryogenic sample electron microscopy (cryo-EM) maps often display uneven quality, with high-resolution features coexisting alongside weak or poorly ordered regions. Such variation complicates structural interpretation, especially for heterogeneous ma... read more 

Understanding the European energy crisis through structural causal models.

Nature communications
Natural gas supplies in Europe were disrupted and energy prices soared in the context of Russia's invasion of Ukraine. Electricity prices in France experienced the largest relative increase among European countries, even though the share of natural g... read more 

Measuring cardiac stroke volume through in-ear audio sensing.

Nature communications
Stroke volume, the volume of blood ejected by the left ventricle during a contraction, is a key metric of cardiovascular health. Currently, stroke volume is measured in clinic with specialised equipment. While purpose-made wearables exist to measure ... read more 

X-DILiver: an ensemble learning framework for predicting drug-induced liver injury.

Scientific reports
Drug-induced liver injury (DILI) is a primary cause of drug attrition, associated with over 1000 medications and accounting for 32% of marketed drugs withdrawn due to toxicity. This has created an urgent demand for high-accuracy computational methods... read more 

Enhancing sit-to-stand transitions and walking efficiency in older adults with a soft robotic suit.

Nature communications
Age-related declines in muscle strength and neuromuscular control make sit-to-stand transitions and walking progressively more difficult, compromising mobility and independence. Although wearable assistive technologies have been proposed to alleviate... read more 

Ultrafast reset-free integrated polarization tracking enabled by thin-film lithium tantalate.

Nature communications
The rapid growth of artificial-intelligence computing demands high-bandwidth and energy-efficient data-center interconnects. Although self-homodyne coherent (SHC) transmission reduces digital signal-processing complexity, its practical deployment is ... read more 

Comprehensive modelling of coastal landuse and land cover (LULC) dynamics and future changes using random forest, GEE, and MLP-Markov chain integration: a geo-computational approach.

Scientific reports
Coastal landuse / land cover (LULC) faces dynamic transformations driven by natural and human activities. This study investigates decadal LULC dynamics and their future projections (2034, 2044, and 2054) along the Ernakulam-Alappuzha coastal stretch ... read more 

Using smartphone-based assessment of social experience to predict relapse in first-episode psychosis.

Schizophrenia (Heidelberg, Germany)
Social-affective changes are early indicators of psychosis relapse, yet their dynamic and subjective nature makes them difficult to capture between routine clinical assessments. Smartphone-based ecological assessments offer a method for capturing rea... read more