Results 201 to 210 of about 10,821 (279)

Mesenchymal stem cell‐derived exosomes for cardiac repair: Challenges, standardization gaps and a realistic path to clinical translation

Clinical and Translational Discovery, Volume 6, Issue 4, August 2026.
Mesenchymal stem cell‐derived exosomes (MSC‐sEVs) show preclinical promise for cardiac repair via anti‐inflammatory, anti‐apoptotic, pro‐angiogenic and anti‐fibrotic effects. However, translational hurdles remain, including non‐standardized isolation, unvalidated potency assays, incomplete GMP manufacturing, and lack of completed Phase II/III trials ...
Sakhavat Abolhasani, Yasin Ahmadi, Amin Jalizih   +2 more
wiley   +1 more source

Linear Stability of the Slowly-Rotating Kerr-de Sitter Family. [PDF]

Ann PDE
Fang AJ.
europepmc   +1 more source

Restriction‐Weighted Q‐Space Trajectory Imaging (ResQ): Toward Mapping Diffusion‐Time Effects With Tensor‐Valued Diffusion Encoding in Human Prostate Cancer Xenografts

NMR in Biomedicine, Volume 39, Issue 8, August 2026.
Tensor‐valued diffusion MRI enables microstructure characterization but can be confounded by the presence of restricted diffusion. We introduce ResQ, a framework that incorporates restriction weighting into q‐space trajectory imaging and we evaluate it in a longitudinal study of prostate cancer xenografts treated by external radiotherapy. ResQ revealed
Filip Szczepankiewicz, Malwina Molendowska, Samo Lasič, Marcella E. Safi, Michael Gottschalk, Evangelia Sereti, Anders Bjartell, Linda Knutsson, Oskar Vilhelmsson Timmermand, Crister Ceberg, Joanna Strand   +10 more
wiley   +1 more source

Thermodynamics à la Souriau on Kähler Non-Compact Symmetric Spaces for Cartan Neural Networks. [PDF]

Entropy (Basel)
Fré PG, Sorin AS, Trigiante M.
europepmc   +1 more source

Sustainable P3HB:ZnO Composite Piezoelectric Nanofibers for AI‐Driven Gait Monitoring

Small Science, Volume 6, Issue 8, August 2026.
This work presents an AI‐enabled framework for designing sustainable P3HB:ZnO piezoelectric nanofibers by integrating artificial neural networks and genetic algorithms to optimize material composition and electrospinning parameters. The developed nanofibers exhibit enhanced piezoelectric performance and are successfully integrated into an intelligent ...
Milad Razbin, Kexin Ruan, Danish Tahir, Xuan Li, Qing Li, Hala Zreiqat, Fariba Dehghani, Shuying Wu   +7 more
wiley   +1 more source

Research on LPV-H_∞ control strategy of magnetorheological semi-active suspension with air spring. [PDF]

Sci Rep
Li G, Zhang S, Li J, Huang Q, Liu Q, Zhong L, Sun W, Ding R, Hu G, Deng J.   +9 more
europepmc   +1 more source

Modeling Transient Flow in Heterogeneous Aquifers With the Mixed Pressure‐Velocity Formulation of Physics Informed Neural Networks

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 4, August 2026.
Abstract Physics‐Informed Neural Networks (PINNs) have emerged as a powerful framework for modeling groundwater flow using deep learning neural networks, particularly in scenarios where traditional data‐driven approaches are limited by the scarcity of data.
Adhish Virupaksha, Marwan Fahs, Hussein Hoteit, Thomas Nagel, François Lehmann   +4 more
wiley   +1 more source

Universality for Taylor coefficients of rational functions under perturbations. [PDF]

Proc Natl Acad Sci U S A
Baryshnikov Y, Pemantle R.
europepmc   +1 more source

CESAR: A Convolutional Echo State AutoencodeR for High‐Resolution Wind Forecasting

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 4, August 2026.
Abstract An accurate and timely assessment of wind speed and energy output allows an efficient planning and management of this resource on the power grid. Wind energy, especially at high resolution, calls for the development of nonlinear statistical models able to capture complex dependencies in space and time. This work introduces a Convolutional Echo
Matthew Bonas, Paolo Giani, Paola Crippa, Stefano Castruccio   +3 more
wiley   +1 more source

A neural network model for managing renewable resources with population growth. [PDF]

Sci Rep
Ahmad S, Ahmad I, Alluhaidan AS, ElAffendi MA.   +3 more
europepmc   +1 more source