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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Title : Deep learning-based survival analysis of omics and clinicopathological data
Julia Sidorova, Centro de Investigación Biomédica En Red Enfermedades Hepáticas y Digestivas (CIBEREHD), Spain
Title : Modulation of alternative splicing as a novel therapeutic avenue in cancer
Sebastian Oltean, University of Exeter Medical School, United Kingdom
Title : Pressure plate analysis in musculoskeletal injuries: An overview
Babak Faramarzi, Western University of Health Sciences, United States
Title : Biotech scale-up: Bioengineering imperatives in biomanufacturing
Murray Moo Young, University of Waterloo, Canada
Title : Antimicrobial electrospun fibrous scaffolds and their potential use as wound dressings
Luis Jesus Villarreal Gomez, Universidad Autonoma de Baja California, Mexico
Title : Pretilachlor-induced physiological, biochemical and morphological changes in Indian paddy field agroecosystem inhabited Anabaena doliolum
Neelam Atri, Banaras Hindu University, India