Results 171 to 180 of about 357,051 (309)

Composition‐Aware Cross‐Sectional Integration for Spatial Transcriptomics

Advanced Intelligent Discovery, EarlyView.
Multi‐section spatial transcriptomics demands coherent cell‐type deconvolution, domain detection, and batch correction, yet existing pipelines treat these tasks separately. FUSION unifies them within a composition‐aware latent framework, modeling reads as cell‐type–specific topics and clustering in embedding space.
Qishi Dong, Zijian Huang, Xuanwu Wang, Zhenghui Feng, Wei Liu, Bingding Huang   +5 more
wiley   +1 more source

Large‐Scale Machine Learning to Screen for Small‐Molecule Senolytics

Advanced Intelligent Discovery, EarlyView.
A consistent workflow underpins all experiments in this study. A dedicated model‐selection dataset first identifies optimal hyperparameters for each algorithm. Models are then trained and rigorously evaluated on independent sets of molecules using the senolytic ratio SR. Comprehensive hyperparameter exploration across SMILES representations, task types,
Alexis Dougha, Jesus Gil, Pedro J. Ballester   +2 more
wiley   +1 more source

Retinal Vessel Segmentation: A Comprehensive Review From Classical Methods to Deep Learning Advances (1982–2025)

Advanced Intelligent Systems, EarlyView.
Four decades of retinal vessel segmentation research (1982–2025) are synthesized, spanning classical image processing, machine learning, and deep learning paradigms. A meta‐analysis of 428 studies establishes a unified taxonomy and highlights performance trends, generalization capabilities, and clinical relevance.
Avinash Bansal, Jan Kubíček, Jana Bahrová, Alice Varyšová, Martin Augustýnek, Marek Penhaker, Juraj Timkovič   +6 more
wiley   +1 more source

Association of Suspected Aspiration During of Out-Of-Hospital Cardiac Arrest With Development of Early-Onset Pneumonia. [PDF]

Acta Anaesthesiol Scand
Yli-Luukko K, Mäki P, Hoppu S, Setälä P, Tirkkonen J.   +4 more
europepmc   +1 more source

Bronchoscopy Robot with Enhanced Flexibility and Stability via Multi‐Segment Variable Stiffness Catheter

Advanced Intelligent Systems, EarlyView.
This work presents a magnetic bronchoscopy robot with a novel multi‐segment variable stiffness catheter. This catheter can not only move flexibly in the narrow bronchi but also harden according to the need to provide support. Combined with remote wireless magnetic field drive, it provides a more precise and effective solution for biopsy of deep lung ...
Shucong Yin, Bin Huang, Shiyuan Dong, Junhao Wang, Liangshen Zhao, Yang Yang, Bingkun Bao, Hongen Liao, Fang Chen, Tianqi Huang, Boyu Zhang   +10 more
wiley   +1 more source

Editorial: Prehospital emergency medicine: challenges and opportunities

Frontiers in Medicine
Sebastian Schnaubelt, Sebastian Schnaubelt, Sebastian Schnaubelt, Enrico Baldi, Enrico Baldi, Mario Krammel, Patrick Sulzgruber, Patrick Sulzgruber   +7 more
doaj   +1 more source

Cardiometabolic multimorbidity and survival after out-of-hospital cardiac arrest. [PDF]

Resusc Plus
Li Y, Shahidah N, Pflug D, Zhao Y, Siddiqui FJ, Leong BS, Chong Chia MY, Mao DR, Gan HN, Ng WM, Doctor NE, Ong ME, Lim SL, Singapore PAROS Investigators.   +13 more
europepmc   +1 more source

AI‐Assisted IoT‐Enabled ECG Monitoring: Integrating Foundational and Generative AI Tools for Sustainable Smart Healthcare—Recent Trends

AI &Innovation, EarlyView.
ABSTRACT The rapid evolution of the Internet of Things (IoT) has significantly advanced the field of electrocardiogram (ECG) monitoring, enabling real‐time, remote, and patient‐centric cardiac care. This paper presents a comprehensive survey of AI assisted IoT‐based ECG monitoring systems, focusing on the integration of emerging technologies such as ...
Amrita Choudhury, Kandarpa Kumar Sarma, Lachit Dutta   +2 more
wiley   +1 more source

CARDIAC ARREST AND RESUSCITATION.

South African medical journal = Suid-Afrikaanse tydskrif vir geneeskunde, 1996
No ...
openaire   +2 more sources

Cardiac arrest as the initial presentation of thyrotoxicosis in a young woman. [PDF]

Endocrinol Diabetes Metab Case Rep
Siqueira Tavares de Melo MH, Barnett MJL, Rego MLM, Isaacs E, Desta E, Rivadeneira A.   +5 more
europepmc   +1 more source