AIMC Topic: Machine Learning

Clear Filters Showing 401 to 410 of 32544 articles

Identification of DNA damage response and crotonylation-related biomarkers for lung adenocarcinoma via machine learning and WGCNA.

Clinical and experimental medicine Jul 30, 2025
DNA damage response (DDR) and crotonylation occur frequently in lung adenocarcinoma (LUAD), but their relationship is yet to be elucidated. RNA sequencing data from LUAD patients in GSE27262 and GSE140797 datasets were obtained. DDR-crotonylation-rel...
Adenocarcinoma of Lung Lung Neoplasms Computational Biology Gene Expression Regulation, Neoplastic DNA Damage Gene Expression Profiling Gene Regulatory Networks Machine Learning Biomarkers, Tumor Humans
View on PubMed DOI

Predicting the clinical evolution of septic patients from routinely collected data and vital signs variability using machine learning.

Physiological measurement Jul 30, 2025
The existing literature lacks a comprehensive analysis of the clinical evolution of septic patients, which is highly heterogeneous and patient-dependent. The aim of this study is to develop machine learning models capable of predicting the clinical e...
Intensive Care Units Female Middle Aged Aged Humans Male Machine Learning Sepsis Vital Signs
View on PubMed DOI

Synthesis and characterization of lignin-copper nanohybrids for colorimetric acetaminophen detection: a combined physical chemistry and machine learning study.

Physical chemistry chemical physics : PCCP Jul 30, 2025
Acetaminophen ranks among the most widely used pharmaceutical and personal care products today. Following consumption, the drug and its metabolites are excreted into sewage systems, wastewater treatment plants, and various aquatic environments, leadi...
Limit of Detection Lignin Colorimetry Copper Water Pollutants, Chemical Machine Learning Acetaminophen Wastewater
View on PubMed DOI

Machine learning approaches for predicting the link of the global trade network of liquefied natural gas.

PloS one Jul 30, 2025
With the rising geopolitical tensions, predicting future trade partners has become a critical topic for the global community. Liquefied natural gas (LNG), recognized as the cleanest burning hydrocarbon, plays a significant role in the transition to a...
Machine Learning Algorithms Commerce Natural Gas
View on PubMed DOI

Features extraction based on Naive Bayes algorithm and TF-IDF for news classification.

PloS one Jul 30, 2025
The rapid proliferation of online news demands robust automated classification systems to enhance information organization and personalized recommendation. Although traditional methods like TF-IDF with Naive Bayes provide foundational solutions, thei...
Algorithms Natural Language Processing Humans Semantics Bayes Theorem Machine Learning
View on PubMed DOI

Knee osteoarthritis prediction from gait kinematics: Exploring the potential of deep neural networks and transfer learning methods for time series classification.

Journal of biomechanics Jul 29, 2025
Recent advances in artificial intelligence methods have allowed improved disease diagnosis using fast and low-cost protocols. The present study explored the potential of different deep neural networks (DNNs) and transfer learning methods to detect kn...
Humans Osteoarthritis, Knee Knee Joint Gait Adult Female Biomechanical Phenomena Aged Neural Networks, Computer Middle Aged Deep Learning Machine Learning Male
View on PubMed DOI

Explainable multimodal hematology analysis for white blood cell classification and attribute prediction.

Computers in biology and medicine Jul 29, 2025
White blood cell (WBC) classification and morphological attribute prediction are critical for automated hematological analyses. To provide detailed and interpretable predictions, this paper proposes a multimodal visual-language embedding learning app...
Humans Image Processing, Computer-Assisted Natural Language Processing Leukocytes Machine Learning Algorithms
View on PubMed DOI

Apax: A Flexible and Performant Framework for the Development of Machine-Learned Interatomic Potentials.

Journal of chemical information and modeling Jul 29, 2025
We introduce Atomistic learned potentials in JAX (apax), a flexible and efficient open source software package for training and inference of machine-learned interatomic potentials. Built on the JAX framework, apax supports GPU acceleration and implem...
Machine Learning Software Neural Networks, Computer Ionic Liquids
View on PubMed DOI

Transfer Learning for Heterocycle Retrosynthesis.

Journal of chemical information and modeling Jul 29, 2025
Heterocycles are important scaffolds in medicinal chemistry that can be used to modulate the binding mode as well as the pharmacokinetic properties of drugs. The importance of heterocycles has been exemplified by the publication of numerous data sets...
Drug Discovery Heterocyclic Compounds Machine Learning
View on PubMed DOI

PuMA: PubMed gene/cell type-relation Atlas.

BMC bioinformatics Jul 29, 2025
BACKGROUND: Rapid extraction and visualization of cell-specific gene expression is important for automatic cell type annotation, e.g. in single cell analysis. There is an emerging field in which tools such as curated databases or machine learning met...
Mice Databases, Genetic PubMed Software Animals Humans Machine Learning
View on PubMed DOI
Popular Topics
Recent Journals