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 : Why do 90% of the drugs fail in development? An analysis of 82+ submissions; and a case study of immunotherapy
Narendra Chirmule, Indian Institute of Technology (IIT), India
Title : Eliminating implant failure in humans with nano chemistry: 45,000 cases and counting
Thomas J Webster, Brown University, United States
Title : Evaluating cell compatibility and subcutaneous host response of silk fibroin–chitosan plug composites as potential resorbable implants
Luis Jesus Villarreal Gomez, Universidad Autonoma de Baja California, Mexico
Title : Steps and strides: Cross-species insights into movement and injury
Babak Faramarzi, Western University of Health Sciences, United States
Title : Ancient wisdom, modern science: Biotech services transforming ayurveda
Prashant Sakharam Bhokardankar, Datta Meghe Ayurvedic Medical College Hospital and Research Centre, India
Title : Scientist’s computational lawyer
Julia Sidorova, Instituto Carlos III de Salud (CIBER-EHD), Spain