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 : Improving health in over 40,000 patients: The impact of nanomedicine fighting antibiotic resistant infections
Thomas J Webster, Brown University, United States
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 : Cytocompatibility and subcutaneous host response of silk fibroin–chitosan composite plugs: Toward resorbable implantable materials
Luis Jesus Villarreal Gomez, Universidad Autonoma de Baja California, Mexico
Title : Predicting wound closure and future segmentation masks in wound healing assays
Alfredo De Cillis, Univeristy of Salento, CNR Nanotec, Italy
Title : Bioherbicides for eco-friendly weed management: From fields to commercialization, constraints and solutions for sustainable agriculture
K R Aneja, Kurukshetra University, India