As 2021 is known as the "first year of the metaverse", the concept of metaverse is promoting a multi-field innovation revolution on a global scale. The new experiences and technologies it brings are expected to provide solutions for the difficulties in the field of human visualization surgery in disease diagnosis, preoperative planning, surgical treatment, medical education, health management and patient experience. This opens up opportunities for the next wave of disruptive technology innovation. This paper proposes a new concept of "human visualization metaverse", and summarizes its innovative application, future development direction and challenges to promote the research and development of human visualization metaverse,and to explore the application potential of metaverse technology in the field of surgery to advance the research and development of the metaverse for human visualization.
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http://dx.doi.org/10.3760/cma.j.cn112139-20240726-00350 | DOI Listing |
J Cheminform
January 2025
Department of Intelligent Electronics and Computer Engineering, Chonnam National University, Gwangju, Republic of Korea.
The human ether-a-go-go-related gene (hERG) channel plays a critical role in the electrical activity of the heart, and its blockers can cause serious cardiotoxic effects. Thus, screening for hERG channel blockers is a crucial step in the drug development process. Many in silico models have been developed to predict hERG blockers, which can efficiently save time and resources.
View Article and Find Full Text PDFBMC Bioinformatics
January 2025
Biology Department, University of Massachusetts Amherst, Amherst, MA, USA.
Background: High-throughput behavioral analysis is important for drug discovery, toxicological studies, and the modeling of neurological disorders such as autism and epilepsy. Zebrafish embryos and larvae are ideal for such applications because they are spawned in large clutches, develop rapidly, feature a relatively simple nervous system, and have orthologs to many human disease genes. However, existing software for video-based behavioral analysis can be incompatible with recordings that contain dynamic backgrounds or foreign objects, lack support for multiwell formats, require expensive hardware, and/or demand considerable programming expertise.
View Article and Find Full Text PDFBMC Bioinformatics
January 2025
Mathematics and Computer Science Department, University of the Balearic Islands, Ctra Valldemossa, Km 7.5, Palma, 07122, Balearic Islands, Spain.
Background: MetaDAG is a web-based tool developed to address challenges posed by big data from omics technologies, particularly in metabolic network reconstruction and analysis. The tool is capable of constructing metabolic networks for specific organisms, sets of organisms, reactions, enzymes, or KEGG Orthology (KO) identifiers. By retrieving data from the KEGG database, MetaDAG helps users visualize and analyze complex metabolic interactions efficiently.
View Article and Find Full Text PDFBMC Infect Dis
January 2025
Programa de Pós-graduação em Ciências Farmacêuticas, Escola de Farmácia, Universidade Federal de Ouro Preto, Ouro Preto, Minas Gerais, Brazil.
Background: Human Papillomavirus (HPV) is the most common sexually transmitted lower genital tract infection worldwide and the main etiological factor of cervical cancer (CC). Since 2006, vaccines have been implemented to reduce CC-related morbidity and mortality. This systematic review and meta-analysis aimed to evaluate the prevalence of cervical infections by non-vaccine high-risk HPV (HR-HPV) types in women vaccinated against types 16 and 18.
View Article and Find Full Text PDFCurr Nutr Rep
January 2025
School of Medical, Indigenous and Health Sciences, Faculty of Science, Medicine and Health, University of Wollongong NSW, Wollongong, 2522, Australia.
Purpose Of The Review: Clinical trials suggest that dietary anthocyanins may enhance cognitive function. This systematic literature review and meta-analysis aimed to identify the effect of anthocyanin on cognition and mood in adults.
Recent Findings: Using a random-effects model, Hedge's g scores were calculated to estimate the effect size.
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