Results 221 to 230 of about 690,474 (299)

Association of age at pancreatic cancer diagnosis with smoking and drinking: A hospital‐based and meta‐analysis study

Advances in Digestive Medicine, EarlyView.
Abstract Recent trends show an alarming rise in pancreatic cancer prevalence among young individuals. Previous studies have presented differences in age at diagnosis. The study aimed to examine the likelihood of a younger age at diagnosis in individuals exposed to known risk factors, compared with those without exposure.
Ro‐Ting Lin, Louise E. Anthony, Hathaichon Inchai, Lung‐Chang Chien, Chun‐Chieh Yeh, Chi‐Ying Yang, Jaw‐Town Lin   +6 more
wiley   +1 more source

Electrocardiogram P-Wave Dispersion and New-Onset Atrial Fibrillation: A Nested Case-Control Study. [PDF]

Rev Cardiovasc Med
Wu C, Ma Y, Yang P, Li Y, Xu M.
europepmc   +1 more source

Feature Selection for Machine Learning‐Driven Accelerated Discovery and Optimization in Emerging Photovoltaics: A Review

Advanced Intelligent Discovery, EarlyView.
Feature selection combined with machine learning and high‐throughput experimentation enables efficient handling of high‐dimensional datasets in emerging photovoltaics. This approach accelerates material discovery, improves process optimization, and strengthens stability prediction, while overcoming challenges in data quality and model scalability to ...
Jiyun Zhang, Jiayi Tan, Qizhen Song, Tian Du, Jens Hauch, Christoph J. Brabec   +5 more
wiley   +1 more source

Health opportunity inequality in middle-aged and older adult cardiovascular and cerebrovascular patients. [PDF]

Front Public Health
Hu G, Zhao H, Yu Z, Liu X.
europepmc   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

Advanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

Dynamic prediction of paroxysmal atrial fibrillation onset using longitudinal sample entropy in joint models. [PDF]

BMC Med Res Methodol
Ngo N, Campos Reis de Souza A, Giorgi R.
europepmc   +1 more source

Inverse Design of Alloys via Generative Algorithms: Optimization and Diffusion within Learned Latent Space

Advanced Intelligent Discovery, EarlyView.
This work presents a novel generative artificial intelligence (AI) framework for inverse alloy design through operations (optimization and diffusion) within learned compact latent space from variational autoencoder (VAE). The proposed work addresses challenges of limited data, nonuniqueness solutions, and high‐dimensional spaces.
Mohammad Abu‐Mualla, Ellis Crabtree, Fredrick Michael, Yayue Pan, Jida Huang   +4 more
wiley   +1 more source

Development and Internal Validation of an Early Warning Predictive Model for Critically Ill Patients in the Emergency Department Utilizing Easily Obtainable Clinical Indicators. [PDF]

Risk Manag Healthc Policy
Li X, Lv J, Guo H, Li H, Zhao Q, Qi H, Li J.   +6 more
europepmc   +1 more source

Identification of Exhaled Volatile Organic Compounds Biomarkers for Lung Cancer Under Data‐Limited Conditions Using Data Augmentation and Multi‐View Feature Selection

Advanced Intelligent Discovery, EarlyView.
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, Bohao Liu, Zhiyuan Qu, Xue Jiang, Heng Zhao, Danyao Qu, Ruizhi Ning, Chen Su, Taoping Liu, Guangjian Zhang, Weiwei Wu   +10 more
wiley   +1 more source