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.
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Thomas J Webster, Interstellar Therapeutics, United States
Title : Stem cell therapy : An affordable healthcare therapy for various diseases
Anant Marathe, Total Potential Cells (P) Ltd, India
Title : Information Leakage: Types, remedies, and open problems
Julia Sidorova, Centro de Investigación Biomédica En Red Enfermedades Hepáticas y Digestivas (CIBEREHD), Spain
Title : Effect of maltogenic amylase, high-performance maltogenic amylase enzymes, and Bacillus coagulans probiotic bacteria on the shelf life and other properties of baked bread and tortilla
Assad Al Ammar, Specialty Enzymes and Probiotics, 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 : Decoding pediatric appendicitis disease: Glycosylation insights via HPLC and mass spectrometry
Dalma Dojcsak, University of Miskolc, Hungary