How Artificial Intelligence Can Support Stem Cell Therapy In Hospital
Despite being a revolutionary advancement in modern healthcare, stem cell therapy presents unique challenges.
As is well known, artificial intelligence has a plethora of applications in the vast and diverse field of healthcare. As a result, stem cell AI’s incredible capabilities have the potential to overcome these obstacles and significantly improve stem cell therapy in hospitals.
Stem cell therapy, also known as regenerative cell therapy, is a procedure that uses stem cells to attempt to repair or replace diseased, dysfunctional, or ruptured tissues in the body. Stem cell therapy represents a step forward in the evolution of organ transplantation. Rather than using whole organs, this treatment employs cells that are easier to generate or obtain — in contrast to organs, which are frequently in short supply in hospitals.
Stem cells are created in a laboratory with the intention of using them for therapeutic purposes. The stem cell procedure is unique in that cells can be extracted from one area of the body and manipulated prior to being surgically implanted in another. This manipulation is also possible if a person’s cells are transplanted into another (naturally, preceded by a series of compatibility checks before the operation).
So how does AI fit into all of this? As is well known, AI has a number of applications in the field of healthcare, the most recent of which is stem cell therapy. Stem cell therapy, which is still in its infancy, may require AI’s data processing and intuitive abilities to advance.
Several ways in which stem cell AI can improve stem cell therapy include the following:
1. Accurately and Rapidly Detecting Healthy Stem Cells
Researchers at Tokyo Medical and Dental University used artificial intelligence to develop a medical procedure that significantly increases the overall speed and efficiency of stem cell therapy. The discovery represents a significant advancement because it enables healthcare professionals and surgeons to abandon outdated procedures that require manually assessing the quality of stem cells prior to proceeding with subsequent steps in the overall operation.
The deep learning-based adaptation of the traditional stem cell therapy makes use of a large sample library of images to assist AI in correctly identifying defects in individual stem cells. The system, dubbed DeepACT, can perform quality control on human keratinocyte stem cells, allowing for a more efficient and error-free therapy.
2. CRISPR and Artificial Intelligence to Improve Stem Cell Control
Healthcare researchers at the Gladstone Institute and Boston University (BU) used machine learning and artificial intelligence (AI) to develop a method for enhancing the quality of stem cell therapy. Using the gene editing system CRISPR-Cas9 and machine learning, the researchers gained a better understanding of how to control the organization of Induced Pluripotent Stem Cells (IPSCs) used in stem cell treatments. Controlling and understanding stem cell behavior is critical because it enables healthcare professionals to make future improvements to therapy methods.
Stem cell therapy has the potential to provide answers to a variety of previously unanswered questions in healthcare. When combined with stem cell artificial intelligence, the treatment has the potential to become increasingly involved in other similar surgeries and treatments, opening up intriguing possibilities for the future of healthcare.