Artificial intelligence (AI) may appear futuristic, but it is already present in a variety of modern technologies. It provides voice and facial recognition capabilities to our handheld devices, for example. AI is also making an impact in biotechnology, where it is now used in many aspects of drug research and discovery. Drug target identification, drug screening, image screening, and predictive modelling are all examples of AI uses in biotech. Artificial intelligence is also being used to sift through scientific papers and manage clinical trial data. Several companies are working on AI technologies for the biotech industry. As traditional approaches like conventional statistical analysis or manual picture scanning reach their practical limits, their services are quickly becoming indispensable. In the field of clinical diagnostics, machine learning has a lot of potential. AI technology for medical applications, for example, are being developed.
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