Automated Computer Assistant for Kidney Transplant Rejection Diagnostics: Interview with Study Authors
A recent study in Nature Medicine, entitled “An automated histological classification system for precision diagnostics of kidney allografts,” has showcased the efforts of a group of researchers who have developed an automated system that can diagnose kidney transplant rejection.
A variety of disparate factors can affect the chances that a transplant will be rejected. At present, clinicians have to manually consider these complex data when making decisions about transplant patients, which can lead to a high level of misdiagnosis and patient morbidity.