Identification of CD8+ Immunogenic Peptides for Vaccine Design against Nipah Virus in Humans.

Background: Nipah virus is a pathogenic virus of ruinous zoonotic potential with inflated rate of mortality in humans.

Methods: Considering the emerging threat of this pandemic virus, the present investigation amid to design vaccine by using the bioinformatics tools such as host and virus codon usage analysis, CD8+ peptide prediction, immunogenicity/allergenicity/toxicity, MHC-I allele binding prediction and subsequent population coverage and MHC-I-peptide docking analysis.

Results: In this study (conducted in 2022 at School of Biotechnology, Katra, India), a set of 11 peptides of the structural proteins of Nipah Virus were predicted and recognized by the set of MHC-I alleles that are expressed in 92% of the global human population.

Sub-terahertz metamaterial stickers for non-invasive fruit ripeness sensing.

Fruits and vegetables account for around a third of all food loss and waste. Post-harvest, retail and consumer losses and waste could be reduced with better ripeness assessment methods. Here we develop a sub-terahertz metamaterial sticker (called Meta-Sticker) that can be attached to a fruit to provide insights into the edible mesocarp's ripeness without cutting into the produce.

Can artificial intelligence improve patient educational material readability? A systematic review and narrative synthesis.

Enhancing patient comprehension of their health is crucial in improving health outcomes. The integration of artificial intelligence (AI) in distilling medical information into a conversational, legible format can potentially enhance health literacy. This review aims to examine the accuracy, reliability, comprehensiveness and readability of medical patient education materials (PEMs) simplified by AI models.

Biodetection Strategies for Selective Identification of Candidiasis.

Fungi are among the predominant pathogens seen in a greater proportion of infections acquired in healthcare settings. A common fungus that causes infections in medical settings is species. Hospitalized patients who suffer from fungal diseases such as candidiasis and candidemia often have elevated rates of mortality and morbidity.