Whole genome sequencing characterization and comparative genome analysis of Acinetobacter baumannii JJAB01: A comprehensive insights on antimicrobial resistance and virulence genotype.

The emergence of antibiotic resistance has significantly elevated the threat posed by Acinetobacter baumannii as an opportunistic pathogen. A.baumannii, a notorious bacterium, poses a serious threat to health care, leading to severe nosocomial infections, particularly in immunocompromised individuals.

Prostate Cancer Classification and Interpretation With Multiparametric Magnetic Resonance Imaging and Gleason Grade Score Using DarkNet53 Model.

Background: Prostate Cancer (PCa) increases the mortality rate of males worldwide and is caused by genetics, lifestyle, and age reasons. The existing automated PCa classification systems face difficulties with overfitting issues, and non-generalizability, leading to poor classification performance.

Objective: On this account, this study proposes an automated classification of PCa from MRI images using a hybrid weighted mean of vectors-optimized DarkNet53 classifier model.

Computational investigation on phytochemicals to evaluate their potency against SARS-CoV-2 in comparison to known antiviral compounds in drug trials.

The outbreak due to SARS-CoV-2 (or Covid-19) is spreading alarmingly and number of deaths due to infection is aggressively increasing every day. Due to the rapid human to human transmission of Covid-19, we are in need to find a potent drug at the earliest by ruling-out the traditional time-consuming approach of drug development. This is only possible if we use reliable computational approaches for screening compounds from chemical space or by drug repurposing or by finding the phytochemicals and nutraceuticals from plants as they can be immediately used without the need for carrying out drug-trials to test safety and efficacy.