Pamisel Successfully Concludes Regenerative Medicine Symposium

Pharmicell announced on the 25th that it successfully concluded the 'Wonju Yonsei Medical Center-Pharmicell Co., Ltd. Regenerative Medicine Symposium' in collaboration with the Regenerative Medicine Research Institute at Yonsei University Wonju College of Medicine.

Pharmicell and Wonju Yonsei Medical Center regularly hold joint symposiums twice a year. The first session of this symposium was chaired by Gong In-deok, Dean of the Wonju College of Medicine. Presentations during the symposium included ▲ Promotion of bacterial and non-tuberculous mycobacteria growth in automated culture monitoring equipment: the effect of nucleoside addition ▲ Alcoholic liver disease and stem cell therapy ▲ Prevention of liver damage through inhibition of intestinal alcohol absorption and 3D modeling.

In the second session, chaired by Eo Young, Director of Wonju Severance Christian Hospital, presentations and discussions were held on ▲ Synthesis research of bi-functional PEG and protein complexes for artificial oxygen carriers ▲ Medical applications of digital twins ▲ Biomarker research for predicting responsiveness to stem cell therapy in acute myocardial infarction.

Dr. Lim Ji-seon, who shared Pharmicell’s current research status as a speaker in the second session, revealed interim results of biomarker discovery in a study predicting the responsiveness of Hearticellgram-AMI using multi-omics. Dr. Lim stated, "The identified targets will be used as indicators to predict the responsiveness of Hearticellgram-AMI in the future," and added, "Furthermore, this research is expected to expand into the development of next-generation stem cell therapies."

Song In-kwon, Director of the Intelligent Advancement Division, introduced, "The currently developing medical twin integrates imaging data such as X-rays, MRI, and CT scans with unstructured data including blood and treatment data to reconstruct patients in 3D before and after treatment," and explained, "The goal is to verify treatment effects through precise changes in organ volume and position, ultimately predicting patient-centered treatment outcomes based on digital replication of the patient."