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 : Biotech innovations: Bioengineering potential for novel biomanufacturing systems
Murray Moo Young, University of Waterloo, Canada
Title : Targeting noncanonical epitopes in anti-cancer immunotherapy
Michele Mishto, Francis Crick Institute, United Kingdom
Title : Stem cell therapy: An affordable healthcare therapy for various diseases
Anant Marathe, Total Potential Cells (P) Ltd, India
Title : Eliminating implant infection: 30,000 nanotextured implants in humans with no failure
Thomas J Webster, Interstellar Therapeutics, United States
Title : Development and characterization of exo-ITC: A fibrous bilayer exosome delivery system for dermatological applications
Luis Jesus Villarreal Gomez, Universidad Autonoma de Baja California, Mexico
Title : Information leakage: Types, remedies, and open problems
Julia Sidorova, Centro de Investigación Biomédica En Red Enfermedades Hepáticas y Digestivas (CIBEREHD), Spain