16AI and ML for Development of Cell and Gene Therapy for Personalized Treatment
Susmit Mhatre1, Somanshi Shukla2, Vivek P. Chavda3, Lakshmikanth Gandikota4 and Vandana Patravale2*
1Department of Pharmacy Sciences, School of Pharmacy and Health Professions, Creighton University, Omaha, Nebraska, USA
2Department of Pharmaceutical Sciences and Technology, Institute of Chemical Technology, Mumbai, India
3Department of Pharmaceutic and Pharmaceutical Technology, L. M. College of Pharmacy, Ahmedabad, India
4Cell and Gene Therapy Products, Research and Development, Intas Pharmaceutical Ltd. (Biopharma Division), Ahmedabad, India
Abstract
Artificial Intelligence (AI) has the potential to revolutionize several aspects of human life, and medicine is one of them. For cell and gene-based therapies, the application of AI is still in its preliminary stages but holds tremendous potential. Personalized medicine demands an exhaustive understanding of genomic composition of individuals and the risk factors associated with them. The identification of suitable genes needs meticulous screening and characterization so that an individual has the highest compatibility and hence avails maximum therapeutic benefits. Machine learning (ML) based algorithms, a subset of AI, can help in the screening process. ML based models have successfully predicted stem cell differentiation, cell fate, and gene expression using algorithms trained with information already available from different individuals and pre-clinical ...
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