Fig. 6: Application of AI to monitor cellular rejection after heart transplant. | Communications Medicine

Fig. 6: Application of AI to monitor cellular rejection after heart transplant.

From: Machine learning-assisted assessment of extracellular vesicles can monitor cellular rejection after heart transplant

Fig. 6

Artificial intelligence (AI) and the profiling of circulating extracellular vesicles (EVs) by MSP (membrane-sensing peptide) -capture are applied to monitor patient #10, a 64-year-old male who underwent a heart transplant and was followed for 361 days after the heart transplant. Days (D) after transplant, result of the endomyocardial biopsy (EMB), and immunosuppressive therapy are reported for each evaluated time point, together with levels of EV surface antigens (tetraspanins, CD20, CD24, and CD45, are showed as exemplary representation) and output of the AI model (likelihood of ACR grade 2–3A according to the EV signature, basing on normalized levels of EV antigens with dynamic adaptation of decisional thresholds for this specific patient; see methods). Part of the figure was produced using the Servier Medical Art public domain (https://smart.servier.com).

Back to article page