Results 101 to 110 of about 1,470 (219)

Machine Learning‐Enhanced Random Matrix Theory Design for Human Immunodeficiency Virus Vaccine Development

Advanced Intelligent Discovery, EarlyView.
This study integrates random matrix theory (RMT) and principal component analysis (PCA) to improve the identification of correlated regions in HIV protein sequences for vaccine design. PCA validation enhances the reliability of RMT‐derived correlations, particularly in small‐sample, high‐dimensional datasets, enabling more accurate detection of ...
Mariyam Siddiqah, Muhammad Zulqarnain Zeb, Muhammad Husnain Zeb, Babar Shabbir   +3 more
wiley   +1 more source

Harnessing Machine Learning to Understand and Design Disordered Solids

Advanced Intelligent Discovery, EarlyView.
This review maps the dynamic evolution of machine learning in disordered solids, from structural representations to generative modeling. It explores how deep learning and model explainability transform property prediction into profound physical insight.
Muchen Wang, Yue Fan
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

Electroencephalogram‐Driven Recognition of Parkinson's Disease Through a Mycelium‐Inspired Memristive Reservoir Computing Circuit

Advanced Intelligent Systems, EarlyView.
This work presents a bio‐inspired computing framework for Parkinson's disease analog recognition using electroencephalogram signals. Temporally encoded EEG features stimulate a mycelium‐inspired memristive reservoir, where disease‐related patterns emerge through physical spatiotemporal dynamics.
Ioannis K. Chatzipaschalis, Ioannis Tompris, Pantelis Fraidakis, Iosif‐Angelos Fyrigos, Antonio Rubio, Georgios Ch. Sirakoulis   +5 more
wiley   +1 more source

The bulk metal content of WASP-80 b from joint interior-atmosphere retrievals: Breaking degeneracies and exploring biases with panchromatic spectra

19 pages, 6 figures plus appendix. Under review in Astronomy & Astrophysics.
Acuña-Aguirre, Lorena, Kreidberg, Laura, Mollière, Paul, Bachmann, Nora   +3 more
openaire   +2 more sources

Research progress on biomarkers of traumatic brain injury

Animal Models and Experimental Medicine, EarlyView.
Traumatic brain injury: From primary insult to secondary neuroinflammation and degeneration. Abstract Traumatic brain injury (TBI) is a common disorder of the nervous system and has become a leading cause of death and disability worldwide, imposing a substantial burden on patients and their social circles. Its main symptoms include dyskinesia, language
Xuting Shen, Si Cheng, Shuyi Chen, Mengyue Wang, Tangying Li, Weicheng Xu, Yifan Zhang, Ping Yuan, Lei Shi   +8 more
wiley   +1 more source

Cancer therapy‐induced ototoxicity: Current challenges and emerging management strategies

Animal Models and Experimental Medicine, EarlyView.
This review comprehensively examines the key risk factors for cancer therapy‐induced ototoxicity, including cumulative drug dose, genetic susceptibility, and combined treatment regimens. It highlights current challenges in ototoxicity monitoring, such as insufficient timeliness and limited clinical adoption, and advocates for standardized auditory ...
Yuqi Huang, Baoying Xu, Xinru Chen, Yu Chen, Dehong Yu   +4 more
wiley   +1 more source

Emergent Spin Hall Quantization and High‐Order van Hove singularities in Square‐Octagonal MA2Z4

Advanced Physics Research, EarlyView.
Square‐octagonal MA2Z4 (M = Mo/W, A = Si/Ge, Z = pnictogen) monolayers are predicted to realize quantum spin Hall insulators with nearly quantized spin Hall conductivity enabled by an emergent spin U(1) quasi‐symmetry. Materials with Z = As and Sb host quasi‐flat bands with high‐order van Hove singularities near the Fermi level, making them promising ...
Rahul Verma, Yash Vardhan, Hsin Lin, Bahadur Singh   +3 more
wiley   +1 more source

Skeletal pathologies in extant crocodilians as a window into the paleopathology of fossil archosaurs

The Anatomical Record, EarlyView.
Abstract Crocodilians, together with birds, are the only extant relatives to many extinct archosaur groups, making them highly important for interpreting paleopathological conditions in a phylogenetic disease bracketing model. Despite this, comprehensive data on osteopathologies in crocodilians remain scarce.
Alexis Cornille, Kyla Beguesse, Ewan Wolff, Clemens Zinner, Patrick Asbach, François Clarac, Florian Witzmann   +6 more
wiley   +1 more source

Continuous Sewing Machine‐Like Suture Provides Higher Failure and Yield Load Compared to Traditional Techniques for Meniscal Root Repair in a Biomechanical Porcine Model

Arthroscopy, EarlyView.
Purpose To evaluate the biomechanical performance of the sewing machine‐like suture (SMS) technique against three established techniques (two cinch‐loop (TCL), modified Mason‐Allen (MMA), and double Mason‐Allen (DMA)) for transtibial pull‐out repair of posterior medial meniscal root tear (PMMRT) in a porcine model.
Yizhong Peng, Wenbo Yang, Yi Li, Chunqing Meng, Hong Wang, Wei Huang   +5 more
wiley   +1 more source