2 results about "Kidney transplant" patented technology

Systems and methods for identifying risk of kidney graft failure in a subject are provided. An image of a graft biopsy is obtained, the image representing at least a subset of a plurality of morphological classes including a tissue compartment and inflammation class. The image is inputted into a trained model that identifies, as output, for each morphological class in at least the subset, corresponding objects in the image that fall within the morphological class. For each morphological class, corresponding digital features are generated comprising a first subset of individual feature scores obtained using the objects for the morphological class and a second subset of composite feature scores obtained by combining individual feature scores. Digital features for each morphological class are compared to a reference criterion, thus determining risk of kidney graft failure.

The application discloses a kind of graft injury multi-index combined noninvasive detection kit, by optimized multiplex real-time fluorescent quantitative polymerase chain reaction technology, realize the quantitative detection of six categories with closely related DNA virus after transplantation Complications, the present application relates to the field of in vitro detection technology of clinical sample.The graft injury multi-index combined noninvasive detection kit, the present application first realizes the synchronous detection of BK virus, JC virus, B19 virus, CMV virus, adenovirus and six kinds of closely related viruses of circovirus (TTV) with graft injury.Test data see example 7, from the detection results of 100 clinical kidney transplant patients, it can be seen that the kit of the present application can simultaneously accurately detect the load level of six viruses, to provide comprehensive infection risk assessment for clinicians.Compared with the prior art single virus detection method, the present application avoids the cumbersome process of multiple sampling and detection, significantly improves the clinical work efficiency.