AI in multi-omics analysis in stem cell research

Stem cell research has evolved greatly in recent times bringing revolutionary changes in regenerative medicine, disease modeling and drug discovery. They have the potential to generate cells of multiple lineages which make them versatile for therapeutic application in tissue regeneration. The "omics revolution" has become powerful in elucidating molecular and cellular processes across different fields including stem cell research. Moreover, the advanced multi-omics approaches in the field of regenerative medicine show great potential in handling critical health conditions. Given the profoundly complex nature of tissue repair, it is important to employ advanced multi-omics technique to elucidate the cellular, molecular and inflammatory events in damaged tissues. Integration of such multi-omics approach along with artificial intelligence (AI) holds the promise of tackling critical challenges towards improving therapeutic outcomes in regenerative medicine. Finally, usage of AI in multi-omics data analysis for stem cell based regenerative therapy should be used with utmost care and caution as a decision-support tool rather than replacing clinician expertise.