Artificial Intelligence Medical Compendium

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

Showing 69,551 to 69,560 of 234,067 articles

Accurate prediction of NCM batteries recovery process under machine learning: Mechanism analysis and industrial application.

Waste management (New York, N.Y.)
Effective recycling of spent LiNixCoyMn1-x-yO2 (NCM) battery is crucial to ensure sustainability of the lithium-ion battery industry. However, recycling is inherent with multiple operational steps and many effective factors. It is difficult to optimi... read more 

Multi-label classification for multi-temporal, multi-spatial coral reef condition monitoring using vision foundation model with adapter learning.

Marine pollution bulletin
Coral reef ecosystems provide essential ecosystem services, but face significant threats from climate change and human activities. Although advances in deep learning have enabled automatic classification of coral reef conditions, conventional deep mo... read more 

Exploring functional insights into the human gut microbiome via the structural proteome.

Cell host & microbe
The human gut microbiome contains numerous proteins whose functions remain elusive yet are pivotal to host health. Sequence-based methods often falter when attempting to infer functions within this microbial proteome due to evolutionary divergence. T... read more 

Exploiting correlations across trials and behavioral sessions to improve neural decoding.

Neuron
Traditional neural decoders link neural activity to behavior within single trials of a session, overlooking correlations across trials and sessions. However, animals show similar neural patterns when performing the same task, and their behaviors are ... read more 

Adapt or specialize? A comprehensive evaluation of adapted SAM versus task-specific CNNs for fetal abdominal segmentation.

Computer methods and programs in biomedicine
BACKGROUND: The fetal abdomen is crucial in prenatal screening, offering key insights into fetal growth and congenital anomalies. However, segmenting internal abdominal structures in ultrasound (US) remains challenging due to anatomical variability, ... read more 

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