AI Medical Compendium

Generative approaches to kinetic parameter inference in metabolic networks via latent space exploration.

Nature communications Apr 20, 2026

Dynamic (kinetic) models track time-varying metabolite concentrations, fluxes, and enzyme levels, quantifying responses to genetic and environmental perturbations. Yet building these models at scale is hindered by scarce enzyme kinetic parameters. Ge... read more

Extraction of metadata from solar disk H-alpha observations at Sacramento Peak Observatory.

Scientific data Apr 20, 2026

We present metadata (date and time of observations) extracted from the digitized (scanned) photographic images of solar disk observations in neutral hydrogen Hα spectral line made at the U.S. National Solar Observatory at Sacramento Peak during 1966-... read more

Intelligent machining error prediction and compensation system based on convolutional neural networks and improved genetic algorithm.

Scientific reports Apr 20, 2026

High-precision classification of WCE-based gastrointestinal abnormality using a fusion deep learning approach.

Scientific reports Apr 20, 2026

Gastrointestinal abnormalities are widespread worldwide and pose a significant health challenge. However, their mortality rate can be significantly reduced when they are detected early. Endoscopy is one of the key techniques used to diagnose problems... read more

Low-light driver drowsiness detection for real-time safety assistance using dual attention mechanisms in deep learning model.

Scientific reports Apr 20, 2026

This research presents a robust real-time driver drowsiness detection system employing deep learning, attention mechanisms, and explainable AI (XAI) techniques to address this critical safety concern. The system integrates a fine-tuned InceptionV3 ba... read more

Peer review in the time of artificial intelligence.

Nature nanotechnology Apr 20, 2026

Automatic generation of labanotation based on a hybrid transformer-LSTM network with multi-scale spatio-temporal features.

Scientific reports Apr 20, 2026

To support the digital preservation and dissemination of folk dance as an intangible cultural heritage, the automatic generation of Labanotation from motion capture data has become a prominent research direction. However, existing techniques show lim... read more

Lumbar Spine Disorder Detection using Segmentation and IBN-MGNet Classification with Enhanced Feature Extraction.

The International journal of neuroscience Apr 20, 2026

Back pain affects millions worldwide, with lumbar spine disorders (LSDs) being a major contributing factor due to the spine's critical role in supporting body weight. This study aims to improve the detection of LSDs using advanced deep learning techn... read more

Optimizing Pichia Pastoris Cell-Free Protein Synthesis to Improve Economics.

Biotechnology and bioengineering Apr 20, 2026

Cell-free protein synthesis (CFPS) is a powerful and versatile platform that supports a wide range of applications, from fundamental studies of the genetic code to scalable and rapid protein production. The recently developed Pichia pastoris CFPS com... read more

Machine learning predicts ICU mortality in cardiogenic shock: interpreting SOFA, lactate, and pH thresholds.

BMC cardiovascular disorders Apr 20, 2026

Artificial Intelligence Medical Compendium

Generative approaches to kinetic parameter inference in metabolic networks via latent space exploration.

Extraction of metadata from solar disk H-alpha observations at Sacramento Peak Observatory.

Intelligent machining error prediction and compensation system based on convolutional neural networks and improved genetic algorithm.

High-precision classification of WCE-based gastrointestinal abnormality using a fusion deep learning approach.

Low-light driver drowsiness detection for real-time safety assistance using dual attention mechanisms in deep learning model.

Peer review in the time of artificial intelligence.

Automatic generation of labanotation based on a hybrid transformer-LSTM network with multi-scale spatio-temporal features.

Lumbar Spine Disorder Detection using Segmentation and IBN-MGNet Classification with Enhanced Feature Extraction.

Optimizing Pichia Pastoris Cell-Free Protein Synthesis to Improve Economics.

Machine learning predicts ICU mortality in cardiogenic shock: interpreting SOFA, lactate, and pH thresholds.

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