The Role of Machine Learning in Bone Marrow Failure

The authors concluded that their model represents a practical guide for BMF diagnosis. They highlight the importance of readily collected clinical and laboratory variables, particularly telomere length,. Austin Kura Sekarage from King's College London in the United Kingdom notes that Gutierrez Rodriguez and collaborators should be commended for using machine learning tools to develop this model. In the final part of today's podcast, we will review an article in blood entitled, Patients with Asian Type Dell Can Safely Be Transfused Using RHD Positive Blood by Jan Lin Ji from the Institute of Clinical Blood Transfusion and the Guan Jue Blood Center in Guan Jue China.