Unlocking immunogenicity insights from clinical reports with NLP
Most information about the immunogenicity of therapeutic peptides is locked in unstructured clinical reports. The client wanted to extract and structure this data to inform development of safe and effective treatments. Our Approach We built a robust extraction...
Automating antibody discovery: from data to development
The Challenge The company aimed to perform a comprehensive analysis of camelid germline immunoglobulin V gene repertoires and assess homology to human counterparts. Manual analysis of thousands of sequences is time-consuming and prone to error. Our Approach We mined...
ML‑based antimicrobial activity & toxicity prediction
The Challenge Antimicrobial resistance threatens global health, and designing antimicrobial peptides requires balancing efficacy and toxicity. Madam Therapeutics needed to predict activity and toxicity of synthetic peptides quickly to accelerate discovery. Our...