Results 191 to 200 of about 1,072,961 (339)

The pupil response to perceptual switches: What happens when you ignore them. [PDF]

J Vis
Zhang B, Marshev V, Brascamp JW.
europepmc   +1 more source

Cardiac biomarkers in clinical practice of dog and cat - a review

, 2016
A biomarker is an indicator of a normal or pathologic process, or a pharmacologic response to a therapeutic intervention. Nowadays, in veteriary cardiology, the most used biomarkers for assessing the pathological status of the cardio-vascular system, are
Baisan, Radu A., DE ROSA, ANGELA, DI LORIA, ANTONIO, PIANTEDOSI, DIEGO, Vasile, Vulpe   +4 more
core  

Generative Ai for Cardiovascular Cell Type‐Specific Fluorescence Colorization of Live‐Cell hPSC‐Derived Cardiac Organoids

Advanced Intelligent Discovery, EarlyView.
A generative AI system is developed for colorizing phase contrast images of human pluripotent stem cell (hPSC)‐derived cardiac organoids (COs) from bright‐field microscopic imaging using conditional generative adversarial networks (cGANs). By giving these phase contrast images with multichannel fluorescence colorization, this intelligence system ...
Arun Kumar Reddy Kandula, Tanakit Phamornratanakun, Angello Huerta Gomez, Marcel El‐Mokahal, Zhen Ma, Yunhe Feng, Huaxiao Yang   +6 more
wiley   +1 more source

Late-Onset Right Heart Failure With Tricuspid Regurgitation Due to Cardiac Herniation After Blunt Thoracic Trauma. [PDF]

JACC Case Rep
Yanagino Y, Kawamura M, Yoshioka D, Misumi Y, Kawaura A, Kawamura T, Saito S, Yamauchi T, Shimamura K, Miyagawa S.   +9 more
europepmc   +1 more source

A Solution for Exosome‐Based Analysis: Surface‐Enhanced Raman Spectroscopy and Artificial Intelligence

Advanced Intelligent Discovery, EarlyView.
Exosomes are emerging as powerful biomarkers for disease diagnosis and monitoring. This review highlights the integration of surface‐enhanced Raman spectroscopy with artificial intelligence to enhance molecular fingerprinting of exosomes. Machine learning and deep learning techniques improve spectral interpretation, enabling accurate classification of ...
Munevver Akdeniz, Zakarya Al‐Shaebi, Omer Aydin   +2 more
wiley   +1 more source

There Is Significant Within-Subject Variation in the Time from Light Stimulus to Maximum Pupil Constriction Among Healthy Controls. [PDF]

J Clin Med
Kamal A, Kim Y, Salter A, Gunna S, Nairon EB, Olson DM.   +5 more
europepmc   +1 more source

Machine Learning‐Assisted Infectious Disease Detection in Low‐Income Areas: Toward Rapid Triage of Dengue and Zika Virus Using Open‐Source Hardware

Advanced Intelligent Discovery, EarlyView.
This study introduces an affordable machine learning platform for simultaneous dengue and zika detection using fluorine‐doped tin oxide thin films modified with gold nanoparticles and DNA aptamers. Designed for low‐cost, hardware‐limited devices (< $25), the model achieves 95.3% accuracy and uses only 9.4 kB of RAM, demonstrating viability for resource‐
Marina Ribeiro Batistuti Sawazaki, Bassam Bachour Junior, Marcelo Mulato, José Ilton de Oliveira Filho   +3 more
wiley   +1 more source

Neuralgic amyotrophy with hourglass-like constrictions: A case report. [PDF]

World J Clin Cases
Bang MH, Song HL, Hahn S, Kim W, Do HK.
europepmc   +1 more source

Minimally invasive fetoscopic interventions: an overview in 2010 [PDF]

, 2010
Thomas Kohl
core   +1 more source

Deep Learning‐Assisted Coherent Raman Scattering Microscopy

Advanced Intelligent Discovery, EarlyView.
The analytical capabilities of coherent Raman scattering microscopy are augmented through deep learning integration. This synergistic paradigm improves fundamental performance via denoising, deconvolution, and hyperspectral unmixing. Concurrently, it enhances downstream image analysis including subcellular localization, virtual staining, and clinical ...
Jianlin Liu, Rujia Liu, Xinyan Zhang, Xun Chen, Shuhua Yue   +4 more
wiley   +1 more source