Results 221 to 230 of about 461,960 (292)

A Generative AI Framework to Predict Cardiomyocyte Contraction Function From Single Static Images

Advanced Intelligent Discovery, EarlyView.
A single static hiPSC‐cardiomyocyte image is fed into a U‐Net‐GAN framework, which directly predicts a pixel‐resolved contraction heatmap without time‐lapse imaging. StyleGAN2‐generated synthetic cell–heatmap pairs augment training, improving prediction fidelity (SSIM = 0.84).
Andrew Kowalczewski, Chenyan Wang, Xinrui Wang, Huaxiao Yang, Zhao Qin, Zhen Ma   +5 more
wiley   +1 more source

[Interdependent islands: health policies and medical practices in the care, management, and research of a neglected disease in the Global South]. [PDF]

Cad Saude Publica
Silveti L, Pereira AMM.
europepmc   +1 more source

Machine Learning‐Enabled Field Prediction and Inverse Design of Functionally Graded Materials Inspired by Tendon–Bone Enthesis

Advanced Intelligent Systems, EarlyView.
A mechanics‐informed machine learning framework enables mechanics field prediction and inverse design of tendon–bone enthesis‐inspired functionally graded materials that reduce stress concentration and failure risk. By coupling multiscale finite element modeling, convolutional field prediction, and kernel‐based inverse design, the study uncovers ...
Zhangke Yang, Zhaoxu Meng
wiley   +1 more source

Deep Learning Classification of Pancreatic Cancer Cells Over a Progression of Epithelial to Mesenchymal States by Deformability Cytometry Under Microfluidic Viscoelastic Flows

Advanced Intelligent Systems, EarlyView.
Cancer cells progressively spread over intermediate epithelial‐to‐mesenchymal transition states that cause nuclear enlargement and circular redistribution of filamentous vimentin are classified by deformability cytometry coupled to a multi‐region deep learning model with convolutional feature extraction and attention‐based regional aggregation.
Javad Jarmoshti, Hanyuan Gao, Negin Zeinali, Abdullah‐Bin Siddique, Sara J. Adair, Todd W. Bauer, Matthew J. Lazzara, Xiaoxuan Yang, Nathan S. Swami   +8 more
wiley   +1 more source

[[Re-Engagement of Hepatitis C Patients Lost to Follow-Up: A Multicenter Study from Argentina]]. [PDF]

Acta Gastroenterol Latinoam
Cairo F, Domínguez N, Curia A, Navarro L, Barbero M, Trillo A, Calfunao D, Belloni R, Bologna AA, Burgos E, Susana M, Borzi SM, Galdame OA, Ballerga EG, Roca I.   +14 more
europepmc   +1 more source

MetaPaCS: A Novel Meta‐Learning Framework for Pancreatic Cancer Subtype Identification

Advanced Intelligent Systems, EarlyView.
We have developed MetaPaCS, an ensemble meta‐learning framework for reliable prediction of pancreatic cancer subtypes with high accuracy. MetaPaCS is capable of capturing subtype‐specific distinct gene expression patterns and drug‐disease associations for pancreatic cancer.
Nick B. Peterson, Mengtao Sun, Xinchao Wu, Jieqiong Wang, Shibiao Wan   +4 more
wiley   +1 more source

[Analysis of the surveillance system for adverse events following Immunization (AEFI) related to COVID-19 vaccines in Colombia, 2021-2023Análise do sistema de vigilância de ESAVI por vacinas contra a COVID-19 na Colômbia, 2021-2023]. [PDF]

Rev Panam Salud Publica
Saza-Londoño W, Pinzón-Fajardo DY, Urrea-Duque MV, Pinzón-Niño EL, Sánchez-León EM, Urieles-Sierra KI, Pinto-Díaz CA, Molina-León HF.   +7 more
europepmc   +1 more source

Performance Evaluation of Super‐Resolution Techniques for Characterization and Phenotyping of Commodity Crops Using Multispectral Imagery

Advanced Intelligent Systems, EarlyView.
This study assesses the suitability and performance of single‐image super‐resolution methods when applied directly, and without any fine‐tuning, to multispectral images of maize and sunflower crops. It evaluates not only super‐resolution performance, but also the preservation of spectral integrity and vegetation‐index reliability. Multispectral imagery
Abhiram Karukayil, João F. C. Mota, Mateo Vásquez‐Guevara, Tito Arevalo‐Ramirez, Fernando Auat Cheein   +4 more
wiley   +1 more source

[[Role of Artificial Intelligence in Clinical Research: MethodologicalApplications and Current Challenges]]. [PDF]

Acta Gastroenterol Latinoam
Decotto S, Pizarro R.
europepmc   +1 more source

How does the Kids SIPsmartER program impact the sugar‐sweetened beverage intake of students: An investigation beyond total treatment effect in randomized controlled trial

American Journal of Agricultural Economics, EarlyView.
Abstract This study develops and empirically estimates a structural framework to decompose the causal pathways of multilevel behavioral interventions targeting adolescent health behaviors. We apply this framework to the Kids SIPsmartER (KSS) program, a 6‐month, school‐based intervention evaluated through a clustered randomized controlled trial in rural
Naveen Abedin, Wen You, Annie Reid, Kathleen Porter, Brittany Kirkpatrick, Jamie Zoellner   +5 more
wiley   +1 more source