Reducing Early-Life Smoke Exposure as a Preventive Strategy for Pediatric Multiple Sclerosis: Results from the PEDIGREE Study. [PDF]
Pilotto S +36 more
europepmc +1 more source
Artificial Intelligence for Bone: Theory, Methods, and Applications
Advances in artificial intelligence (AI) offer the potential to improve bone research. The current review explores the contributions of AI to pathological study, biomarker discovery, drug design, and clinical diagnosis and prognosis of bone diseases. We envision that AI‐driven methodologies will enable identifying novel targets for drugs discovery. The
Dongfeng Yuan +3 more
wiley +1 more source
Association of smoking behavior and time to first cigarette with all-cause and cause-specific mortality: A cohort analysis from the NHANES 2001-2018. [PDF]
Bao N +6 more
europepmc +1 more source
Automated procedural analysis is recognized as one of the major game changers for robotic surgery. Meaning digital analysis needs to replace the manual assessments that set todays standard. Mechanical robotic‐instrument tracking enables the derivation of quantitative kinematic metrics that support behavior‐based workflow segmentation into distinct ...
Kateryna Pirkovets +4 more
wiley +1 more source
Is it the nicotine or the tobacco?
David Sweanor
doaj +1 more source
Enhanced lung volumes and pressures in traditional wind instrument musicians: The case of the Mejwez. [PDF]
Darabseh MZ +7 more
europepmc +1 more source
This work introduces a novel framework for identifying non‐small cell lung cancer biomarkers from hundreds of volatile organic compounds in breath, analyzed via gas chromatography‐mass spectrometry. This method integrates generative data augmentation and multi‐view feature selection, providing a stable and accurate solution for biomarker discovery in ...
Guancheng Ren +10 more
wiley +1 more source
EpiSmokEr2: a robust epigenetic classifier for smoking status inference using Illumina EPIC methylation data. [PDF]
Zhu T +17 more
europepmc +1 more source
The Challenge of Handling Structured Missingness in Integrated Data Sources
As data integration becomes ever more prevalent, a new research question that emerges is how to handle missing values that will inevitably arise in these large‐scale integrated databases? This missingness can be described as structured missingness, encompassing scenarios involving multivariate missingness mechanisms and deterministic, nonrandom ...
James Jackson +6 more
wiley +1 more source
Association Between Self-Reported Smoking Behaviour and Fuchs Endothelial Corneal Dystrophy: A Cross-Sectional Analysis. [PDF]
Mihalache A +3 more
europepmc +1 more source

