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 : Molecular therapeutics for Chronic Obstructive Pulmonary Disease
Yong Xiao Wang, Albany Medical College, United States
Title : Biotech scale-up: Bioengineering imperatives in biomanufacturing
Murray Moo Young, University of Waterloo, Canada
Title : A Real BandAIdâ„¢: Incorporating Artificial Intelligence (AI) into Biomaterials and Medicine
Thomas J Webster, Hebei University of Technology, China
Title : Modulation of alternative splicing as a novel therapeutic avenue in cancer
Sebastian Oltean, University of Exeter Medical School, United Kingdom
Title : Nanomaterial-mediated systemically administered m-RNA-based gene therapy directed exclusively to cancer, resulting in eradication of implanted orthotopic tumors with no side effects
AC Matin, Stanford University School of Medicine, United States
Title : Antimicrobial electrospun fibrous scaffolds and their potential use as wound dressings
Luis Jesus Villarreal Gomez, Universidad Autonoma de Baja California, Mexico