A groundbreaking new article published in the Proceedings of the National Academy of Sciences (PNAS) advocates for a paradigm shift in transfusion medicine through the integration of lab-on-a-chip technologies. By leveraging novel predictive markers of RBC quality identified through -omics and machine learning, the cutting-edge approach has the potential to revolutionize the transfusion process, making it safer and more precise for patients. The lead authors on the paper were Ziya Isiksacan, PhD, a research fellow in the Center for Engineering in Medicine and Surgery (CEMS) at Massachusetts General Hospital, and Angelo D’Alessandro, PhD, a professor of Biochemistry and Molecular Genetics at the University of Colorado Denver. Osman Berk Usta, PhD, an investigator in the CEMS at Massachusetts General Hospital and an associate professor of Surgery at Harvard Medical School, is the senior author. Other co-authors include Consortium Chair Susan Wolf, JD, ATP-Bio Center Director John Bischof, PhD, and ATP-Bio Center Deputy Director Mehmet Toner, PhD. ATP-Bio is a Consortium member center.
Written in collaboration with ChatGPT.