The invention provides a precise monitoring and self-adaptive regulation and
control system for immunological rejection in
solid organ transplantation. Relates to the field of
artificial intelligence, and the
system comprises a real-
time data collection module which is used for collecting rejection-related biomarkers,
organ function data and environment and treatment data in
peripheral blood of a transplanted recipient in real time; the rejection risk prediction module is used for
processing multi-dimensional
time sequence characteristic data acquired in real time by adopting a long-
short term memory network rejection risk prediction model based on layered boundary marginal
loss function optimization, and outputting a rejection
risk probability P; the intervention strategy generation module is used for generating an individualized intervention strategy through a mixed
mask neighbor strategy optimization
algorithm according to the current
pathological state of the patient; and the
intelligent decision regulation and control module is used for executing regulation and control decisions of precise regulation and control of the immunosuppressor and coordinated regulation and control of the organ microenvironment according to the rejection
risk probability P and the individualized intervention strategy and performing real-time feedback. The rejection reaction recognition accuracy and intervention effectiveness are improved.