AI Medical Compendium

Comparison Study: Glacier Calving Front Delineation in Synthetic Aperture Radar Images With Deep Learning.

IEEE transactions on pattern analysis and machine intelligence Apr 20, 2026

Continuous monitoring of glacier calving fronts is essential for sea level rise projections. This study benchmarks Deep Learning systems for front delineation in Synthetic Aperture Radar imagery. While Deep Learning systems exhibit errors up to 221 m... read more

Composition-Dependent Li-Ion Transport in Mixed-Metal ZIF-62 Glasses Revealed by Machine-Learning Molecular Dynamics.

ACS applied materials & interfaces Apr 20, 2026

Understanding ion transport in metal-organic frameworks requires resolving the interplay between framework dynamics, local disorder, and thermally activated hopping on extended time and length scales. Here, we develop a robust deep neural network (DN... read more

The Potency of DCLGAN for Reducing Scan time in PET/CT imaging with different radiotracers of clinical importance.

AJNR. American journal of neuroradiology Apr 20, 2026

BACKGROUND AND PURPOSE: Shortening PET/CT acquisition without degrading diagnostic or quantitative performance would improve patient comfort and scanner throughput. We evaluated a Dual-Contrastive Learning GAN (DCLGAN) for reconstructing high-quality... read more

MarineTox Predictor: An Online Library Platform for Enhancing Low-Resourced Saltwater Ecotoxicity Prediction via Knowledge Sharing from Freshwater Ecotoxicity.

Environmental science & technology Apr 20, 2026

To assess the environmental risk of chemicals, extensive freshwater ecotoxicity data and prediction models have been established. However, due to the scarcity of saltwater ecotoxicity data, no model was reported to predict toxicity endpoints across v... read more

Risk prediction models for incident heart failure: a systematic review and meta-analysis.

Heart (British Cardiac Society) Apr 20, 2026

BACKGROUND: Early identification of patients at risk of heart failure (HF) provides opportunities for preventative management. Though models have been developed to predict HF incidence, their validation remains unclear. Our objective was to summarise... read more

Algal Interaction-Mediated Biogenic Volatiles Enable Accurate Algal Bloom Prediction.

Environmental science & technology Apr 20, 2026

Algal volatile organic compounds (AVOCs) act as real-time metabolic signals that enable accurate bloom prediction in single-species systems. However, interspecies interactions reshape algal growth dynamics across bloom stages, and evaluating how AVOC... read more

Ethylene-Oxygen Combustion: From Machine Learning Potential Function Construction to Molecular Dynamics Simulation.

The journal of physical chemistry. A Apr 20, 2026

Understanding and accurately modeling combustion processes of complex fuels remain challenging. In this study, we constructed a reactive machine learning potential function (MLP) for the C2H4-O2 system to investigate the corresponding combustion beha... read more

Neuromodulation-induced normalization of cortical metastable dynamics signatures in Parkinson's disease.

NPJ Parkinson's disease Apr 20, 2026

Deep brain stimulation (DBS) of the subthalamic nucleus (STN) alleviates motor symptoms in Parkinson's disease (PD), but how it modulates whole-brain dynamics to drive therapeutic effects remains unclear. We hypothesized that STN-DBS restores signatu... read more

Detecting complex-energy braiding topology in a dissipative atomic simulator with transformer-based geometric tomography.

Nature communications Apr 20, 2026

Machine learning (ML) is shaping our exploration of topological matter, whose existence is inherently tied to the geometry of quantum states or energy spectra. In non-Hermitian systems, distinctive spectral geometry can lead to topological braiding o... read more

Accelerating Leigh syndrome drug discovery through deep learning screening in brain organoids.