As biological data expands exponentially, the integration of Bioinformatics, Computational Biology & AI in Biotech is becoming indispensable for meaningful interpretation and application. Bioinformatics tools help manage and analyze genomic, transcriptomic, and proteomic datasets, while computational biology models complex biological systems, simulating metabolic pathways, evolutionary patterns, and disease progression. Artificial intelligence and machine learning are transforming how scientists predict drug responses, design proteins, and classify disease biomarkers. From personalized medicine to synthetic biology design automation, the impact of Bioinformatics, Computational Biology & AI in Biotech is vast and growing. These digital frameworks empower researchers to uncover hidden patterns, optimize bioprocesses, and make data-driven decisions that accelerate discovery, development, and clinical translation in biotechnology.
Title : Renewed novel biotech ideas, with bioreactor bioengineering economic impact
Murray Moo Young, University of Waterloo, Canada
Title : Osmotic lysis–driven Extracellular Vesicle (EV) engineering
Limongi Tania, University of Turin, Italy
Title : Phage Display-Based Biosensing for Rapid Detection of Neonatal Group B Streptococcal (GBS) Infection
Md Monir Hossain, RMIT University, Australia
Title : Contribution of bioengineered food in addressing hunger and food and nutrition security (FNS)
Santosh Kumar Mishra , S.N.D.T. Women's University (Retired), India
Title : An insight into sustainable practices in Environmental Biotechnology (EB)
Santosh Kumar Mishra , S.N.D.T. Women's University (Retired), India
Title : Lignocellulosic biomass to biofuels and biochemicals: Microbial innovations for a sustainable future
Gunjan Mukherjee, Chandigarh University, India