Research and Reviews: A Journal of Microbiology and Virology
Volume 16, Issue 2 (2026)
Table of contents
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India’s Pioneering Advancements in Vaccinology: Challenges and Milestones – Part 2
Abstract: India has become a global leader in vaccinology, playing a vital role in developing, producing, and distributing vaccines that protect millions of lives. By embracing advances in molecular immunology, recombinant antigen technology, and virus-like particle (VLP) platforms, the country has created affordable vaccines against major diseases, including poliovirus, rotavirus, and SARS-CoV-2. National initiatives, like Mission Indradhanush and Vaccine Maitri, have helped expand immunization coverage, improve public health, and share vaccines …
Published in Research and Reviews: A Journal of Microbiology and Virology · Vol. 16, Issue 2, 2026 Read article
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Enhancing Fiber Digestibility in Dairy Cows: Influence of Dietary, Management, and Environmental Factors
Abstract: The digestibility of fiber in dairy cows is a critical factor for optimizing their nutritional efficiency and overall productivity. This study explores the key dietary, management, and environmental factors influencing fiber digestibility in the rumen. Various aspects of feed composition, such as fiber content, protein-to-fiber ratio, and the presence of anti-nutritional factors, play a significant role in determining microbial activity and rumen fermentation efficiency. Physical feed characteristics, including particle size, …
Published in Research and Reviews: A Journal of Microbiology and Virology · Vol. 16, Issue 2, 2026 Read article
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Artificial Intelligence in Microbiological Research: Methods, Applications and Implications
Abstract: Artificial Intelligence (AI) is revolutionising microbiological research by enabling the rapid analysis of complex biological data and improving the accuracy, efficiency, and reliability of scientific investigations. Recent advances in machine learning, deep learning, and bioinformatics have transformed AI into a powerful tool for studying microorganisms, their genetic composition, evolutionary patterns, and interactions with hosts and the environment. AI-driven computational models can process large and complex datasets far more efficiently than …
Published in Research and Reviews: A Journal of Microbiology and Virology · Vol. 16, Issue 2, 2026 Read article