Results 201 to 210 of about 197,485 (282)

Amacrine cell inputs to OFF midget ganglion cells in macaque retina

open access: yesThe Journal of Physiology, EarlyView.
Abstract figure legend The goal of this study was to explain the findings from physiological studies that OFF midget ganglion cells had larger receptive field centers than expected from their dendritic field diameters. First, we confirmed that OFF mRGCs (OFF MGC) receive input from diffuse bipolar cells (DB) as well as OFF midget bipolar cells (FMB ...
David W. Marshak   +8 more
wiley   +1 more source

MitoGEx: An Integrated Platform for Streamlined Human Mitochondrial Genome Analysis. [PDF]

open access: yesGenes (Basel)
Jeenkeawpiam K   +5 more
europepmc   +1 more source

Haemodynamic‐energetic mechanism of sudden cardiac death in severe aortic stenosis: A modelling study

open access: yesThe Journal of Physiology, EarlyView.
Abstract figure legend A sudden decrease in total peripheral resistance (TPR), as observed during vasovagal syncope, leads to a reduction in aortic systolic pressure (AO pressure) and afterload. In healthy individuals, the consequent decrease in left ventricular systolic pressure (LV pressure) lowers stroke work and myocardial energy expenditure.
Martin Dvoulety, Michal Sitina
wiley   +1 more source

Correction: Menin inhibition suppresses castration-resistant prostate cancer and enhances chemosensitivity. [PDF]

open access: yesOncogene
Cherif C   +17 more
europepmc   +1 more source

Optimization of Diffusion MRI With Consideration of the Signal Decay in Biological Tissues

open access: yesMagnetic Resonance in Medicine, Volume 96, Issue 1, Page 460-468, July 2026.
ABSTRACT Purpose Devising methodology to characterize and optimize acquisition schemes for biological tissues, such as the prostate, that produce model‐based synthetic diffusion‐weighted images and derived model parameters with predictable SNR improvement. Methods The averaging effect (AE) in synthetic diffusion‐weighted images obtained through fitting
Stefan Kuczera, Stephan E. Maier
wiley   +1 more source

Automated Tuberculosis Detection in Chest Radiographs: A Hybrid Deep Learning Framework for Clinical Decision Support

open access: yesApplied AI Letters, Volume 7, Issue 2, June 2026.
A hybrid deep learning framework integrating VGG16, ResNet50, and DenseNet121 is proposed for automated tuberculosis detection from chest X‐ray images. Feature‐level fusion enhances robustness and generalization, achieving 97.4% accuracy across multiple public datasets, supporting reliable clinical decision‐making in resource‐limited healthcare ...
Md. Tahmid Hossain   +2 more
wiley   +1 more source

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