Results 171 to 180 of about 148,752 (225)

Distinguishing lung cancer from atypical tuberculosis: Deep transfer learning and imaging omics features

Journal of Intelligent Medicine, EarlyView.
The 3D‐ResNet model demonstrates superior discriminative power in differentiating lung cancer from atypical tuberculosis by leveraging deep omics features derived from volumetric lung cancer imaging, outperforming conventional clinical and radiomic analyses.
Yi Wu, Siyi Li, Zhiping Long, Yanjie Jia, Yue Yu, Bing Pei, Heli Yuan, Yuhua Hao, Zhiyun Jiang, Lei Cao, Kezheng Wang, Fan Wang   +11 more
wiley   +1 more source

Analysis of Upper Airway Morphology Using Four‐Dimensional Dynamic MRI With Active Deep Learning‐Based Automatic Segmentation

Journal of Magnetic Resonance Imaging, EarlyView.
ABSTRACT Background Upper‐airway morphology changes during breathing can be captured with cine 4D MRI. Active‐learning nnU‐Net reduces manual labeling while maintaining accuracy. Purpose For automatic upper airway segmentation on free‐breathing cine 4D MRI using active learning and quantifying dynamic changes under two mouth positions.
Cheng‐Yang Yu, Meng‐Chen Chung, Yunn‐Jy Chen, Han‐Wei Wang, Jonathan X. Zhou, Shih‐Lung Chen, Kevin T. Chen, Tiffany Ting‐Fang Shih   +7 more
wiley   +1 more source

Albumin‐Bilirubin Score as a Novel Prognostic Prediction Tool for Surgically Treated Head and Neck Squamous Cell Carcinoma

The Kaohsiung Journal of Medical Sciences, EarlyView.
ABSTRACT We investigated the prognostic significance of the preoperative albumin‐bilirubin (ALBI) score in surgically treated head and neck squamous cell carcinoma (HNSCC). This retrospective study included 663 patients who underwent radical surgery between 2007 and 2017.
Ming‐Hsien Tsai, Chao‐Hui Yang, Yu‐Tsai Lin, Hui‐Ching Chuang, Tai‐Lin Huang, Hui Lu, Wen‐Ling Tsai, Chih‐Yen Chien, Fu‐Min Fang   +8 more
wiley   +1 more source

NIR/VIS Dual‐Comb Spectroscopy Comparing High and Low Repetition Rate Regimes

Laser &Photonics Reviews, EarlyView.
This work compares dual‐comb spectroscopy at lower and higher repetition rates, emphasizing the inherent trade‐off between spectral and temporal resolution. The 80 MHz system provides high‐resolution spectra suitable for analyzing complex molecular structures, whereas the free‐running 1 GHz platform enables fast measurements for real‐time trace gas ...
Alexander Eber, Mithun Pal, Lukas Fürst, Emily Hruska, Christoph Gruber, Marcus Ossiander, Birgitta Bernhardt   +6 more
wiley   +1 more source

Not All Open Minds Think Alike: How Rational and Intuitive Open‐Mindedness Shape Responses to Religious Advertising

Psychology &Marketing, EarlyView.
ABSTRACT This study examines how consumer responses to religious advertising are influenced by two dimensions of open‐mindedness: rational and intuitive. Across three experiments, participants viewed ads that varied in the strength of their religious cue.
Yeqing Bao, Sarah Alhouti, W. David Allen, Shi Zhang   +3 more
wiley   +1 more source

Role of High Fidelity Vs. Low Fidelity Experimental Data in Machine Learning Model Performance for Predicting Polymer Solubility

Macromolecular Rapid Communications, EarlyView.
The performance of machine learning models for classifying polymer solubility improves when a high‐fidelity experimental dataset is used compared to a low‐fidelity experimental dataset. This has important implications for justifying the value of spending additional time and resources preparing detailed experimental datasets.
Mona Amrihesari, Manali Banerjee, Raul Olmedo, Blair Brettmann   +3 more
wiley   +1 more source

Systematic Deciphering of ATBC Nephrotoxicity Mechanisms via Machine Learning and Single‐Cell Analysis

Medicine Bulletin, EarlyView.
This study elucidates the nephrotoxic mechanism of acetyl tributyl citrate (ATBC) by integrating network toxicology, machine learning, and single‑cell multi‑omics analysis to systematically decipher the molecular mechanisms and cell‑type‑specific regulatory networks underlying ATBC‑induced kidney injury. First, a protein‑protein interaction network was
Yimao Wu, Yalun Liang, Jintao Liang, Wenlong Sun, Qian Zhang, Meng‐Yao Li   +5 more
wiley   +1 more source

Basal Forebrain Volume and Concurrent Hallucinations and Mild Cognitive Impairment in Parkinson's Disease

Movement Disorders Clinical Practice, EarlyView.
Abstract Background Visual hallucinations (VH) and mild cognitive impairment (MCI) often co‐occur in Parkinson's Disease (PD). Each symptom in isolation is associated with cholinergic basal forebrain (BF) atrophy. However, it is unclear whether BF integrity relates to one symptom preferentially or to their co‐occurrence, and whether this relationship ...
Sabrina M. Adamo, Vaishali Mutreja, Marta Statucka, Batu Kaya, Taylor W. Schmitz, Anthony C. Ruocco, Melanie Cohn   +6 more
wiley   +1 more source

Computer Vision Analysis for Objective Motor Assessment in Parkinson's Disease: A Retrospective Study

Movement Disorders Clinical Practice, EarlyView.
Abstract Background The Movement Disorder Society‐Unified Parkinson's Disease Rating Scale‐Part III (MDS‐UPDRS‐III) is subjective and insensitive to subtle changes in patients with Parkinson's disease (PD). Computer vision (CV) can extract objective kinematics from routine outpatient videos, potentially augmenting the accuracy of the motor assessment ...
Pasquale Maria Pecoraro, Luca Marsili, Antonio Cannavacciuolo, Kevin R. Duque, Jesus Abanto, Jennifer Sharma, Jennifer Scheler, Heba A. Deraz, Lauren Wingler, Vincenzo Di Lazzaro, Alberto J. Espay, Lazzaro di Biase, Matteo Bologna   +12 more
wiley   +1 more source

Comprehensive Evidence for Mortality and Underlying Morbidity Related to Visceral Fat Distribution

Med Research, EarlyView.
ABSTRACT Linking obesity to mortality is an intriguing and controversial topic. This study tried to comprehensively assess 8 adiposity surrogates and mortality association among middle‐to‐old‐aged adults to identify a superior one, and explore explanatory disorders. Data sources included the National Health and Nutrition Examination Survey (NHANES), UK
Haolong Zhou, Danyang Ling, Qin Huang, Jiaojun Liang, Guanhua Su, Zhangbo Cui, Ziwei Chen, Xiaowen Ma, Zhou Jiang, Shuo Zheng, Haodong Tian, Qi Wang   +11 more
wiley   +1 more source