[Advances in pharmacological mechanism and toxicology of gambogic acid].

Gambogic acid, a caged xanthone compound derived from Garcinia, has been proven to be an important substance basis for the pharmacological effects of the plant. In recent years, it has received continuous attention due to its broad and significant pharmacological activities. Modern pharmacological investigations have demonstrated that gambogic acid endows various therapeutic effects such as anti-inflammatory, antioxidant, and anti-tumor activities, as well as benefits in retinopathy, organ protection, anti-microbial infection, bone protection, and neuropathic pain relief.

[Expert consensus on ethical requirements for artificial intelligence (AI) processing medical data].

As artificial intelligence technology rapidly advances, its deployment within the medical sector presents substantial ethical challenges. Consequently, it becomes crucial to create a standardized, transparent, and secure framework for processing medical data. This includes setting the ethical boundaries for medical artificial intelligence and safeguarding both patient rights and data integrity.

Integration of large language models and federated learning.

As the parameter size of large language models (LLMs) continues to expand, there is an urgent need to address the scarcity of high-quality data. In response, existing research has attempted to make a breakthrough by incorporating federated learning (FL) into LLMs. Conversely, considering the outstanding performance of LLMs in task generalization, researchers have also tried applying LLMs within FL to tackle challenges in relevant domains.

The association between helicobacter pylori infection and Triglyceride-Glucose (TyG) index in US adults: A retrospective cross-sectional study.

Background: The Triglyceride-glucose (TyG) index is a marker for insulin resistance and metabolic syndrome, while Helicobacter pylori is linked to gastrointestinal diseases and may affect metabolic risks. This study examined the association between the TyG index and H. pylori infection in adults.

Entanglement microscopy and tomography in many-body systems.

Quantum entanglement uncovers the essential principles of quantum matter, yet determining its structure in realistic many-body systems poses significant challenges. Here, we employ a protocol, dubbed entanglement microscopy, to reveal the multipartite entanglement encoded in the full reduced density matrix of the microscopic subregion in spin and fermionic many-body systems. We exemplify our method by studying the phase diagram near quantum critical points (QCP) in 2 spatial dimensions: the transverse field Ising model and a Gross-Neveu-Yukawa transition of Dirac fermions.