Results 191 to 200 of about 1,564,863 (252)

Association between gastroesophageal reflux disease and incident bronchiectasis: a nationwide representative population-based study in Korea. [PDF]

BMC Pulm Med
Yoon J, Yoon JH, Lee H, Lee JS, Moon SM, Choi H, Yang B, Lee H.   +7 more
europepmc   +1 more source

Predicting Performance of Hall Effect Ion Source Using Machine Learning

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This study introduces HallNN, a machine learning tool for predicting Hall effect ion source performance using a neural network ensemble trained on data generated from numerical simulations. HallNN provides faster and more accurate predictions than numerical methods and traditional scaling laws, making it valuable for designing and optimizing Hall ...
Jaehong Park, Guentae Doh, Dongho Lee, Youngho Kim, Changmin Shin, Su‐Jin Shin, Young‐Chul Ghim, Sanghoo Park, Wonho Choe   +8 more
wiley   +1 more source

Expression and functional diversity of the glucagon-like peptide-1 receptor across tumor types. [PDF]

Discov Oncol
Alba MM, Lee WH, Lee JSH, Lu Z, Stiles B, Ligumsky H.   +5 more
europepmc   +1 more source

Roadmap on Artificial Intelligence‐Augmented Additive Manufacturing

Advanced Intelligent Systems, EarlyView.
This Roadmap outlines the transformative role of artificial intelligence‐augmented additive manufacturing, highlighting advances in design, monitoring, and product development. By integrating tools such as generative design, computer vision, digital twins, and closed‐loop control, it presents pathways toward smart, scalable, and autonomous additive ...
Ali Zolfagharian, Liuchao Jin, Qi Ge, Wei‐Hsin Liao, Andrés Díaz Lantada, Francisco Franco Martínez, Tianyu Zhang, Tao Liu, Charlie C. L. Wang, Mohammad Hossein Mosallanejad, Reza Ghanavati, Abdollah Saboori, Alejandro De Blas De Miguel, William Solórzano‐Requejo, Yi Cai, Xiangyang Dong, Huangyi Qu, Najmeh Samadiani, Guangyan Huang, Austin Downey, Yanzhou Fu, Lang Yuan, Tsz‐Kwan (Glory) Lee, Arbind Agrahari Baniya, Eisha Waseem, Abdul Rahman Sani, Abbas Z. Kouzani, Yijia Wu, Markus P. Nemitz, Masoud Shirzad, Dageon Oh, Seung Yun Nam, Amedeo Franco Bonatti, Irene Chiesa, Gabriele Maria Fortunato, Giovanni Vozzi, Carmelo De Maria, Mahdi Bodaghi   +37 more
wiley   +1 more source

Correction. [PDF]

Mycobiology
europepmc   +1 more source

Clinically aligned multi-modal image-text model for pan-cancer prognosis prediction. [PDF]

BioData Min
Lee J, Leiby JS, Takemaru L, Huang Y, Noh MG, Kim J, Lee B, Lee ME, Oldridge DA, Eun YG, Lee HJ, Lee YC, Kim D.   +12 more
europepmc   +1 more source

Real‐Time, Label‐Free Classification of Cell Death Pathways via Holotomography‐Based Deep Learning Framework

Advanced Intelligent Systems, EarlyView.
A 3D holotomography system coupled with a deep learning model distinguishes how cells die—apoptosis, necroptosis or necrosis—without any fluorescent labels. Training on refractive index maps of HeLa cells yields 97% accuracy and flags necroptosis hours before chemical dyes.
Minwook Kim, Wei Sun Park, Geon Kim, Sanggeun Oh, Jaephil Do, Juyeon Park, Jihwan Yu, Won Do Heo, YongKeun Park   +8 more
wiley   +1 more source

Complete mitochondrial genome of the clearwing moth <i>Synanthedon namdoelegans</i> Kim, Kim and Choi, 2025 (Lepidoptera: Sesiidae). [PDF]

Mitochondrial DNA B Resour
Lee SH, Kim WJ, Park JS, Pyo JY, Kim I.
europepmc   +1 more source

Bridging High‐Fidelity Simulations and Physics‐Based Learning using a Surrogate Model for Soft Robot Control

Advanced Intelligent Systems, EarlyView.
A surrogate‐model‐based framework is proposed for combining high‐fidelity finite element method and efficient physics simulations to enable fast, accurate soft robot simulation for reinforcement learning, validated through sim‐to‐real experiments. Soft robotics holds immense promise for applications requiring adaptability and compliant interactions ...
Taehwa Hong, Jungjae Lee, Byung‐Hyun Song, Yong‐Lae Park   +3 more
wiley   +1 more source

Machine learning for predicting functional outcomes in acute ischemic stroke: insights from a nationwide stroke registry. [PDF]

Sci Rep
Ko T, Lee K, Kwon YU, Lee YR, Han SY, Oh JS.   +5 more
europepmc   +1 more source