A complex fuzzy decision model for analysing the post-pandemic immuno-sustainability.

The post-effects of the COronaVIrus Disease (COVID-19) vary depending on socioeconomic and biological factors. Similarly, the effects of vaccination on people's immunity vary across several factors. After the pandemic, real-life post-vaccination anomalies significantly impact women's health, access to medical treatments and medications, mental well-being, and daily physical activities.

A hybrid thyroid tumor type classification system using feature fusion, multilayer perceptron and bonobo optimization.

Background: Thyroid tumor is considered to be a very rare form of cancer. But recent researches and surveys highlight the fact that it is becoming prevalent these days because of various factors.

Objectives: This paper proposes a novel hybrid classification system that is able to identify and classify the above said four different types of thyroid tumors using high end artificial intelligence techniques.

Deciphering the Genetic Alteration in the ZEB2 Gene Network and Their Possible Association With Head and Neck Squamous Cell Carcinoma (HNSCC).

Background Head and neck squamous cell carcinoma (HNSCC) is an abnormal growth of cells that leads to tumor formation in the head and neck region. Several genes and genetic networks are involved in the process of carcinogenesis. Aim The aim of the present study is to unravel the prognostic marker from a pool of interacting networks governed by the ZEB2gene Materials and methods Computational analysis was employed to identify the protein network interactions, genetic alterations, gene expression, and the survival analysis of the ZEB2 dysregulated network in the head and neck cancer dataset (HNSCC) from the Cancer Genome Atlas (TCGA), Firehose Legacy.

Bio inspired growth factor loaded self assembling peptide nano hydrogel for chronic wound healing.

Self assembling peptidebased hydrogel has been explored for delivering growth factors, anticancer drugs, antibiotics etc. Here, RADA 16-I (RADARADARADARADA), an ionic self complementary peptide that forms a well defined nanohydrogel has been studied for its ability to deliver PDGF-BB in a sustained manner and to destruct biofilm formed by wound specific pathogens. Results of the structural analysis of the nanohydrogel studied through AFM, FeSEM, CD, FT-IR and Rheometry, revealed the hydrogel forming ability of RADA 16-I with stable β-sheet structure at room temperature.