How Deep Learning Transforms Vaccine Design
Accelerated Target Identification
Vaxi-DL processes vast datasets of viral, bacterial, and cancer genomic information, identifying potential epitopes far faster than traditional methods. Our models are trained on millions of known immune interactions.
This allows us to rapidly filter out ineffective candidates, focusing resources only on those with the highest probability of inducing a strong T-cell response.
Predictive Immunogenicity Scoring
Our proprietary deep neural networks predict a comprehensive immunogenicity score based on MHC binding affinity, T-cell receptor recognition probability, and antigen processing likelihood.
This multi-factor prediction ensures the designed vaccine is not just a theoretical match but a highly functional one in a real biological context.
