Results 121 to 130 of about 783,235 (314)

Ultrasound in Women's Health: Mechanisms, Applications, and Emerging Opportunities

Advanced Materials, EarlyView.
As healthcare moves toward decentralization, ultrasound technologies are evolving from strictly imaging tools in clinical settings into versatile diagnostic and therapeutic platforms, with growing roles addressing women's health needs. This review highlights how ultrasound's underlying physical mechanisms can be harnessed to reduce disparities in women'
Sarah B. Ornellas, Bilal Kizilaslan, Aastha Shah, Jason F. Hou, Yoonsoo Shin, Alejandra Hernandez Moyers, Claudia Lozano, Canan Dagdeviren   +7 more
wiley   +1 more source

Semiparametric Analysis of Additive–Multiplicative Hazards Model with Interval-Censored Data and Panel Count Data

Mathematics
In survival analysis, interval-censored data and panel count data represent two prevalent types of incomplete data. Given that, within certain research contexts, the events of interest may simultaneously involve both data types, it is imperative to ...
Tong Wang, Yang Li, Jianguo Sun, Shuying Wang   +3 more
doaj   +1 more source

Bootstrap Confidence Intervals for Medical Costs With Censored Observations [PDF]

, 2003
Medical costs data with administratively censored observations often arise in cost-effectiveness studies of treatments for life threatening diseases. Mean of medical costs incurred from the start of a treatment till death or certain timepoint after the ...
Jiang, Hongyu, Zhou, Xiao-Hua
core   +1 more source

Foundation Model‐Enabled Multimodal Deep Learning for Prognostic Prediction in Colorectal Cancer with Incomplete Modalities: A Multi‐Institutional Retrospective Study

Advanced Science, EarlyView.
FLARE, a multimodal AI framework, combines pathology slides, radiology scans, and clinical reports to predict colorectal cancer outcomes, even when some tests are missing. Evaluated retrospectively in 1679 patients from four medical centers, it consistently achieved the best prognostic accuracy and clearly separated high‐ and low‐risk groups.
Linhao Qu, Chengsheng Zhang, Yingyong Hou, Feng Tang, Weiqi Sheng, Dan Huang, Zhijian Song   +6 more
wiley   +1 more source

HiST: Histological Images Reconstruct Tumor Spatial Transcriptomics via MultiScale Fusion Deep Learning

Advanced Science, EarlyView.
HiST, a multiscale deep learning framework, reconstructs spatially resolved gene expression profiles directly from histological images. It accurately identifies tumor regions, captures intratumoral heterogeneity, and predicts patient prognosis and immunotherapy response.
Wei Li, Dong Zhang, Eryu Peng, Shijun Shen, Hamid Alinejad‐Rokny, Yao Liu, Junke Zheng, Cizhong Jiang, Youqiong Ye   +8 more
wiley   +1 more source

Effectiveness of Pre‐Transplant Dual GLP‐1 Receptor Agonist and SGLT2 Inhibitor Therapy on All‐Cause Mortality in Organ Transplantation Candidates with Obesity and Type 2 Diabetes: a Target‐Trial Emulation

Advanced Science, EarlyView.
This target trial emulation in solid organ transplant candidates with obesity and type 2 diabetes evaluates whether pre‐transplant dual therapy with GLP‐1 receptor agonists plus SGLT2 inhibitors is associated with post‐transplant mortality and kidney graft outcomes compared with monotherapy or usual care, using multinational electronic health records ...
Yu‐Nan Huang, Min‐Yu Tsou, Pin‐Hung Li, Jo‐Ching Chen, Yen‐Liang Liu, Gideon Meyerowitz‐Katz, Tsung‐Hsun Tsai, Pen‐Hua Su   +7 more
wiley   +1 more source

A Subset of Pro‐inflammatory CXCL10+ LILRB2+ Macrophages Derives From Recipient Monocytes and Drives Renal Allograft Rejection

Advanced Science, EarlyView.
This study uncovers a recipient‐derived monocyte‐to‐macrophage trajectory that drives inflammation during kidney transplant rejection. Using over 150 000 single‐cell profiles and more than 850 biopsies, the authors identify CXCL10+ macrophages as key predictors of graft loss.
Alexis Varin, Jovanne Palvair, Lennie Messager, Jamal Bamoulid, Jasper Callemeyn, Mélanie Chaintreuil, Ludivine Dal Zuffo, Didier Ducloux, Imane Farhat, Mathieu Legendre, Laurent Martin, Florian Renosi, Xavier Roussel, Thibaut Vaulet, Maarten Naesens, Claire Tinel, Baptiste Lamarthée   +16 more
wiley   +1 more source

Estimation of colorectal adenoma recurrence with dependent censoring

BMC Medical Research Methodology, 2009
Background Due to early colonoscopy for some participants, interval-censored observations can be introduced into the data of a colorectal polyp prevention trial.
Long Qi, Hsu Chiu-Hsieh, Alberts David S
doaj   +1 more source

Non-mixture cure model for interval censored data: a simulation study [PDF]

, 2014
With the ongoing advance in the medical sciences, we may quite often encounter data sets where some patients have been cured from disease. Standard survival models are usually not appropriate for modeling such data because they simply do not take into ...
Abu Bakar, Mohd Rizam, Arasan, Jayanthi, Ibrahim, Noor Akma, Taweab, Fauzia   +3 more
core  

Consumers' Willingness to Pay a Premium for Climate‐Friendly Food Production: The Role of Production Method Information and Social Norms

Agribusiness, EarlyView.
ABSTRACT This study examines whether information about production methods and social norms can increase consumers' willingness to pay (WTP) a price premium for food produced using climate‐friendly farming methods. A randomized survey experiment was conducted with 1568 respondents across Denmark, Lithuania, and Spain, who were assigned to one of four ...
Kassa Tarekegn Erekalo, Tove Christensen, Sigrid Denver, Marilena Gemtou, Spyros Fountas, Søren Marcus Pedersen   +5 more
wiley   +1 more source