Machine Learning Helps Predict Stem Cell Transplant Outcomes, Study Suggests
Using a computer-based analysis to profile gene activity in blood samples may help identify the severe scleroderma patients who are most likely to respond to a stem cell transplant, a study suggests. That, in turn, will ultimately lead to better outcomes and faster improvement post-transplant for those who…