AI Medical Compendium

Application of deep learning strategies in the standardization and diagnostic efficiency enhancement of chest X-ray imaging.

BMC medical imaging Mar 18, 2026

DyABD: the abdominal muscle segmentation in dynamic MRI benchmark.

BMC medical imaging Mar 18, 2026

This work introduces DyABD, a novel and complex benchmark dataset of dynamic abdominal MRIs from patients with abdominal hernias and associated high quality abdominal muscle annotations. DyABD is the first-of-its-kind in four key ways; (1) it propose... read more

Integrating NMR Restraints into Coarse-Grained Simulations: Toward Accurate Conformational Ensembles of Complex Protein Systems.

Journal of the American Chemical Society Mar 18, 2026

Structural dynamics play critical roles for the biological activity of protein molecules. Characterizing the inherent conformational landscapes of these macromolecules remains a major experimental and computational challenge, particularly for heterog... read more

AI-enabled protein design facilitates future plant research and crop breeding.

Plant physiology Mar 18, 2026

Artificial intelligence (AI) is poised to reshape the research paradigm of the life sciences by rapidly advancing the adoption of protein language models and their derivative tools. These technologies are increasingly being applied to protein structu... read more

Focusing on Data to Improve Machine Learning-Guided Antibiotic Discovery.

Microbial drug resistance (Larchmont, N.Y.) Mar 18, 2026

Machine learning (ML) is poised to accelerate antibiotic discovery by rapidly identifying and generating compounds with desirable properties. Despite focused effort, algorithmic advances alone have yielded only modest improvements in real-world perfo... read more

Multiview 2.5D Deep Learning Outperforms 2D and 3D Models for Preoperative Prediction of Visceral Pleural Invasion in Stage IA Lung Adenocarcinoma.

Journal of thoracic imaging Mar 18, 2026

OBJECTIVE: This study evaluated the predictive performance of 2 novel 2.5-dimensional (2.5D) deep learning (DL) models for visceral pleural invasion (VPI) in clinical stage IA lung adenocarcinoma, comparing them with traditional 2D and 3D models. MAT... read more

Developing machine learning-driven QSAR models for predicting bitter activity and bitterness thresholds of oligopeptides.

Food chemistry Mar 18, 2026

To improve bitter peptide (BP) prediction, two complementary computational models were developed. The XGBoost-BP classifier achieved strong performance in identifying bitter activity (AUC = 0.992 in cross-validation and 0.930 in the test set) and rev... read more

Gene Ontology graph embeddings with Dynamic Thresholding based Deep Neural Networks for Multi-label protein subcellular localization prediction.

Computational biology and chemistry Mar 18, 2026

Protein subcellular localization is key to understanding cellular function. Traditional methods are slow, prompting the use of machine learning and deep learning to enhance prediction accuracy. This study aims to leverage these approaches for more ef... read more

RSM-GA-BP optimization of Ultrasound-Enzyme-Assisted deep eutectic solvent extraction (UEADESE) for flavonoids from Abelmoschus manihot (L.) leaves and mechanistic insights.

Ultrasonics sonochemistry Mar 18, 2026

This study aimed to optimize the ultrasonic-enzyme-assisted deep eutectic solvent extraction (UEADESE) Abelmoschus manihot (L.) leaves flavonoids (AMLF) and elucidate the underlying mechanisms. Screening of extraction parameters was first performed v... read more

Associations between 12 insulin resistance surrogates with metabolic dysfunction-associated steatotic liver disease risk and all-cause mortality: data from the NHANES III (1988-1994).

European journal of gastroenterology & hepatology Mar 18, 2026

BACKGROUND: Metabolic dysfunction-associated steatotic liver disease (MASLD) has been shown to be intimately linked to the presence of insulin resistance. This study aimed to comprehensively evaluate 12 insulin resistance surrogates in relation to MA... read more

Artificial Intelligence Medical Compendium