Vaccine development using artificial intelligence and machine learning: A review.

The COVID-19 pandemic has underscored the critical importance of effective vaccines, yet their development is a challenging and demanding process. It requires identifying antigens that elicit protective immunity, selecting adjuvants that enhance immunogenicity, and designing delivery systems that ensure optimal efficacy. Artificial intelligence (AI) can facilitate this process by using machine learning methods to analyze large and diverse datasets, suggest novel vaccine candidates, and refine their design and predict their performance.

Determining genetic diversity of prevalent G and P genotype of from neonatal calves of Gujarat, India.

Importance: Neonatal calf diarrhea is a major cause of mortality in newborn calves worldwide, posing a significant challenge in bovine herds. () are the primary contributors to severe gastroenteritis in calves under two months old.

Objectives: This study examined the prevalence and molecular characterization of in neonatal calves in Gujarat, India.

Profiling of Antimicrobial Resistance Genes and Integron from Isolates Using Whole Genome Sequencing.

This study is designed to investigate for the antibiotic resistance genes (ARGs) and integrons from healthy as well as diarrhoeic/diseased animals/birds' faecal samples. A total of eight samples were selected for the study; from each animal, two samples were taken, one from healthy animals/birds and one from diarrhoeic/diseased animals/birds. Antibiotic sensitivity testing (AST) and whole genome sequencing (WGS) was performed for selected isolates.

Sequencing and sequence analysis of partial nucleoprotein (N) gene and phylogenetic analysis of rabies virus field isolates from Gujarat state, India.

The present study was undertaken with an aim of characterization of rabies virus (genus of the family under the order ) by sequencing of partial nucleoprotein (N) gene of rabies virus and phylogenetic analysis to know the genotype and lineage of rabies virus present in Gujarat state of India. A total of 32 samples (18 brain samples and 14 saliva samples) were aseptically collected from live and dead animals (viz. dog, buffalo, cow, goat, donkey and hyena) for rabies virus detection.

Patho-epidemiological study on Genotype-XIII Newcastle disease virus infection in commercial vaccinated layer farms.

Aim: The present research work was carried out to study the patho-epidemiological aspects of Genotype-XIII Newcastle disease virus (NDV) infection in commercial layer in and around Anand, Gujarat. As the outbreaks have reported in vaccinated flocks, it was felt necessary to study the disease with respect to its changing pathogenicity and relevant aspects.

Materials And Methods: The study comprised of patho-epidemiology of Newcastle disease (ND) by information collected from different layer farms suffering from the disease in relation to incidence pattern and mortality, duration of mortality, susceptible age, and loss due to production performance.