Global trends in machine learning applied to clinical research in liver cancer: Bibliometric and visualization analysis (2001-2024).

This study explores the intersection of liver cancer and machine learning through bibliometric analysis. The aim is to identify highly cited papers in the field and examine the current research landscape, highlighting emerging trends and key areas of focus in liver cancer and machine learning. By analyzing citation patterns, this study sheds light on the evolving role of machine learning in liver cancer research and its potential for future advancements.

Gut‑liver axis in liver disease: From basic science to clinical treatment (Review).

Incidence of a number of liver diseases has increased. Gut microbiota serves a role in the pathogenesis of hepatitis, cirrhosis and liver cancer. Gut microbiota is considered 'a new virtual metabolic organ'.

mRNA vaccine development and applications: A special focus on tumors (Review).

Cancer is characterized by unlimited proliferation and metastasis, and traditional therapeutic strategies usually result in the acquisition of drug resistance, thus highlighting the need for more personalized treatment. mRNA vaccines transfer the gene sequences of exogenous target antigens into human cells through transcription and translation to stimulate the body to produce specific immune responses against the encoded proteins, so as to enable the body to obtain immune protection against said antigens; this approach may be adopted for personalized cancer therapy. Since the recent coronavirus pandemic, the development of mRNA vaccines has seen substantial progress and widespread adoption.

MANF Alleviates Sevoflurane-Induced Cognitive Impairment in Neonatal Mice by Modulating Microglial Activation and Polarization.

The precise mechanism underlying sevoflurane-induced neurotoxicity and cognitive impairment remains largely unknown. Mesencephalic astrocyte-derived neurotrophic factor (MANF) is a neuroprotective factor that has shown promise in various neurological disorders. However, its impact on sevoflurane-induced alterations has not been investigated.