Swedish researchers have developed a computer model that is better at matching transplant candidates to living donors than traditional methods, and as a result could improve long-term survival rates for transplant recipients.
Weight, gender, age, blood group (of both donor and recipient), and the time when no blood flows to the heart during a transplant are just some of the numerous variables that can affect a patient’s survival chances after transplantation.
