Artificial Intelligence Medical Compendium

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

Showing 69,411 to 69,420 of 233,923 articles

Simultaneous and sequential inoculation of lactic acid bacteria to engineer the flavor profile of Chinese spicy cabbage: A machine learning and modeling study.

International journal of food microbiology
The inoculation timing of starter cultures is a critical factor influencing the quality of fermented foods, yet it remains underexplored. This study evaluated how simultaneous (T1) and sequential (X1) inoculation of Leuconostoc, Levilactobacillus, an... read more 

DeepHFFT-m7G: A dual-channel self-attention and hybrid feature fusion framework for RNA m7G modification identification.

Computational biology and chemistry
N7-Methylguanosine (m7G) is a prevalent RNA modification that has attracted significant attention in recent RNA functional research. Multiple studies have shown that m7G modifications play a crucial role in the initiation and progression of various h... read more 

Urinary Cell-Free DNA detection platform for bacterial cystitis diagnosis via spot-based machine learning.

Journal of advanced research
INTRODUCTION: Bacterial cystitis is a prevalent infectious condition that is primarily caused by uropathogenic Escherichia coli (E. coli). The rapid and precise identification of this pathogen is crucial for guiding timely and effective clinical inte... read more 

Machine learning-augmented metaproteomics reveals metabolic adaptation of anammox bacteria under high nitrogen loading rate.

Bioresource technology
Anaerobic ammonium oxidation (anammox) is a biological process in which NH4+ serves as the electron donor and NO2- as the electron acceptor to produce N2. Anammox bacteria are the key agents responsible for this process, playing a crucial role in bio... read more 

Advances in antituberculosis drug-induced liver injury: Molecular mechanisms, genetic insights, and emerging animal-free prediction models.

Toxicology
Approximately 10 million tuberculosis patients worldwide require drug therapies annually. However, prolonged use of tuberculocidal drugs in combination regimens may induce hepatotoxicity, ranging from asymptomatic serum transaminase elevation to acut... read more 

AI-based automated weight prediction in cattle for herd health surveillance.

Preventive veterinary medicine
Early and accurate monitoring of livestock health is critical for effective disease prevention, welfare assurance, and sustainable farm management. Labor-intensive and stressful livestock weighing methods remain a major bottleneck for effective herd ... read more 

A coupled spiking neural P system integrated with two-level neighborhood search for solving flexible job shop scheduling problems.

Neural networks : the official journal of the International Neural Network Society
The Flexible Job Shop Scheduling Problem (FJSP) is an Non-deterministic Polynomial (NP)-hard combinatorial optimization problem whose large-scale and highly flexible instances expose limitations of many existing metaheuristics: serial search structur... read more 

Central similarity joint-learning for cross-domain retrieval.

Neural networks : the official journal of the International Neural Network Society
Cross-domain retrieval holds significant research value in the field of image retrieval. However, existing cross-domain retrieval methods have the following limitations: 1) excessive pursuit of domain alignment and neglect of class alignment; 2) inad... read more 

Revisiting KANET in the context of fetal connectomics: defining optimal gestational windows for neurodevelopmental screening.

Journal of perinatal medicine
OBJECTIVES: To introduce the KANET-connectome matrix (KANET-Con) as a conceptual framework linking fetal behaviors observed on four-dimensional (4D) ultrasound to underlying neural network maturation, and to evaluate optimal gestational timing for fu... read more