Hepatic fibrosis is a pivotal stage in which chronic liver disease progresses from reversible injury to decompensation. Liver sinusoidal endothelial cells (LSECs) play a regulatory role in hepatic stellate cells (HSCs) activation through paracrine si... read more
Reservoir computing is a bio-inspired machine learning paradigm that exploits the intrinsic dynamics of nonlinear systems with fading memory for efficient temporal information processing. Microelectromechanical resonators offer a promising platform f... read more
A global shortage of radiologists has increased the burden of chest X-ray interpretation, particularly in primary and resource-limited settings. Although artificial intelligence systems can assist with report generation, most lack rigorous prospectiv... read more
Topolectrical circuits provide a versatile platform for exploring modern physical models, yet existing approaches lack full programmability and effective mechanisms for inverse state design. Here, we present a deep-learning-empowered programmable top... read more
Pancreatic ductal adenocarcinoma remains one of the deadliest malignancies, characterized by late diagnosis, aggressive biology and limited therapeutic success. Advances in multiagent chemotherapy have improved outcomes across disease stages, whereas... read more
The 2022 global outbreak of clade IIb mpox represented a turning point in public health's handling of poxviruses. The primary vaccine available for the prevention of mpox is modified vaccinia Ankara from Bavarian-Nordic (MVA-BN). We previously report... read more
Unlike experienced teachers who intuitively perceive classroom dynamics, artificial intelligence still struggles to develop comparable perceptual abilities due to the complex, evolving nature of real classroom climates. Capturing this shared emotiona... read more
The rehabilitation of patients with musculoskeletal disorders is usually associated with the performance of prescribed exercises at home. Performing these exercises without medical supervision may lead to incorrect execution, resulting in secondary i... read more
This study employs Physics-Informed Neural Networks (PINNs) to simulate the thermal dynamics of biological tissue under laser irradiation by embedding the heat transfer and radiative transport equations into the training process. The PINN architectur... read more
Image degradation caused by noise and atmospheric fading poses a significant challenge to the reliability and performance of image transmission systems, particularly in Free Space Optical (FSO) communication employing high-order modulation schemes li... read more
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