A Missouri University of Science and Technology researcher is looking for ways artificial intelligence can improve how kidney donors are matched with recipients.
Missouri S&T engineering management assistant professor Casey Canfield is leading a research effort to develop AI software that can streamline the matching process. Read more from St. Louis Public Radio.
Developed by researchers at Brigham and Women’s Hospital, a new artificial intelligence system can help enhance heart transplant procedures by reducing the risk of immune system rejections.
To help improve heart transplants, investigators from Brigham and Women’s Hospital created an artificial intelligence (AI) system known as the Cardiac Rejection Assessment Neural Estimator (CRANE), which can help clinicians detect and manage adverse immune system reactions.
Although heart transplants can be lifesaving, there is a risk of the immune system rejecting and attacking the new organ that may go unnoticed by the patient, leading to severe medical problems.
Read more from Health IT Analytics.
Data from AiKidney Helps Clinicians Gain New Insights into Patient’s Risk of Allograft Rejection
CareDx to Host Investor Event to Share More Information About AiKidney, Clinical Pipeline and Using Augmented Information in Transplantation
SOUTH SAN FRANCISCO, Calif.–(BUSINESS WIRE)–Jun. 2, 2022– CareDx, Inc. (Nasdaq: CDNA) – The Transplant Company™ focused on the discovery, development, and commercialization of clinically differentiated, high-value healthcare solutions for transplant patients and caregivers – today announced that it plans to expand its growing multimodality portfolio with AiKidney™, a new allograft risk assessment clinical decision support tool, in development, that includes AlloSure® and other transplant metrics.
Read the complete press release at CareDx.com.
Predicting the variables that could lead to damaging alcohol use in post-surgical cases may spur lifesaving interventions, a USC study finds.
A screening tool developed with artificial intelligence and trained on hundreds of hours of patient interviews could flag risks for relapse in liver transplant patients with alcohol use disorder — and prompt precise interventions, according to a new USC study.
Read the full story from USC News.
An artificial intelligence system shows promise in identifying signs of heart transplant rejection
Heart transplantation can be lifesaving for patients with end-stage heart failure. However, many patients experience organ transplant rejection, in which the immune system attacks the transplanted organ. But detecting transplant rejection is challenging. In its early stages, patients may not experience symptoms, and experts do not always agree on the degree and severity of the rejection when they examine heart biopsies to diagnose the problem.
Read the full story.
Heart transplantation can be a lifesaving operation for patients with end-stage heart failure. However, many patients experience organ transplant rejection, in which the immune system begins attacking the transplanted organ. But detecting transplant rejection is challenging -; in its early stages, patients may not experience symptoms, and experts do not always agree on the degree and severity of the rejection.
To help address these challenges, investigators from Brigham and Women’s Hospital created an artificial intelligence (AI) system known as the Cardiac Rejection Assessment Neural Estimator (CRANE) that can help detect rejection and estimate its severity. In a pilot study, the team evaluated CRANE’s performance on samples provided by patients from three different countries, finding that it could help cardiac experts more accurately diagnose rejection and decrease the time needed for examination. Results are published in Nature Medicine. Read more.