Fig. 4.

Performance of the DNA damage prediction model relies on area under the curve of redox ratio (AUC RR). a) Predicted γH2AX foci/nuclei were generated based on 80/20 training/test splits. Statistical testing was performed using ANOVA followed by Tukey's post-hoc test or Kruskal-Wallis followed by Dunn's post-hoc test across all groups within each timepoint. Significance from media control indicated (n = 6–11 replicates, NS = no significance, *p < 0.05, **p < 0.01, ***p < 0.001). b) Evaluation of the model by plotting predictions versus actual results in a R² score of 0.60. c) Ranked feature importance scores of SLAM features show relative contributions towards DNA damage prediction. d) Etoposide dose response generated from SLAM based AUC-RR feature and γH2AX foci/nuclei in HUB-047 monolayers at Day 5. SLAM IC50: 4.655 μM, γH2AX IC50: 1.237 μM (3 biological replicates with 3 random fields of view for SLAM imaging and 25 fields of view for γH2AX foci immunofluorescence imaging). e) Bortezomib dose response generated from SLAM based AUC-RR feature and γH2AX foci/nuclei in HUB-047 monolayers at Day 5. SLAM IC50: 0.4511 μM, γH2AX IC50: 0.1245 μM (3 biological replicates with 3 random fields of view for SLAM imaging and 25 fields of view for γH2AX foci immunofluorescence imaging).