Objective Inflammation and repair responses may be involved in atherosclerosis in rheumatoid arthritis (RA), although ...

Researchers have illuminated the neural circuitry underlying fly proprioception, indicating the toggle between stabilization ...

In this important work, the authors present a new transformer-based neural network designed to isolate and quantify higher-order epistasis in protein sequences. They provide solid evidence that higher ...

Penny Liang's book, "Understanding Large Models for Humanities Students (1.0)," explains the core technologies of large ...

Recent advances in high-throughput microbiome profiling have generated expansive data sets that offer unprecedented ...

Leuphasyl (pentapeptide‑18, sequence Tyr‑D‑Ala‑Gly‑Phe‑Leu) emerges as a compelling research tool in neuromuscular and tissue ...

Objectives The central nervous system is a significant extraglandular target in primary Sjögren’s syndrome (pSS), often ...

Avinash Reddy Aitha’s study on Cloud-Native Generative AI for Personalized Insurance Premium Modeling captures the essence of ...

We present an integrated approach to derive multimodal MRI markers of cognition that can be transdiagnostically linked to psychopathology. This demonstrates that the predictive ability of neural ...

Abstract: To enable accurate and resource-efficient hardware implementation of fractional-order neural networks for neuromorphic computing, an optimized hardware architecture for field programmable ...

ABSTRACT: Brain tumor segmentation is a vital step in diagnosis, treatment planning, and prognosis in neuro-oncology. In recent years, deep learning approaches have revolutionized this field, evolving ...

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