The application provides a method and
system for predicting the damage of testicular supporting cells by
vomitoxin, and relates to the technical field of testicular
supporting cell damage prediction, which comprises obtaining
transcriptome sequencing,
immunofluorescence quantification,
electron microscope ultrastructure and flow detection data; based on the theory of persistent coherence, the topological characteristics of the
gene expression space are extracted and encoded into persistent bar code representation; through a neural
differential equation, the bar code is fused with
protein and structure data for multi-
modal fusion and dynamic evolution modeling, and topological kinetic characteristics representing
barrier function are obtained; combined with flow data, a
cell state
phase transition model is constructed by applying a
cellular automaton and
percolation theory to simulate the critical damage threshold of the blood-testis
barrier integrity; a
potential well model is constructed based on the threshold and flow data; finally, the path integral and variation method are used to calculate the damage probability of cells under different
toxin concentrations. The application realizes early warning and dynamic risk prediction of testicular
supporting cell damage by
vomitoxin.