The invention relates to the technical field of
curative effect prediction, in particular to a
curative effect prediction method and
system for treating
spinal cord injury by stem cells, and the method comprises the following steps: obtaining a multi-parameter
metabolism sequence and constructing an activation
rhythm map, recognizing a neural restoration synchronization section, extracting a
metabolism dominant path and evaluating electrical
signal response, generating a para-position map layer and predicting a
curative effect trend. According to the method, through introduction of cross-time-sequence
metabolism and trend synchronous identification of electrophysiological indexes,
dynamic mapping of
stem cell activation rhythms is realized, neural
axon morphological changes and
cerebrospinal fluid metabolism parameters are linked, and distribution positions of key response points in a treatment cycle are determined; the method comprises the following steps: establishing a causal path based on a sequence of metabolic
mutation and neural restoration events, extracting an evolution stage dominated by a metabolic driving effect, marking a matching trend of a curative effect response and an intervention path on a time axis, identifying the number and positions of trend convergence, withdrawal and interruption areas, and realizing collaborative prediction of a restoration progress and a curative effect trend.