Unlocking immunogenicity insights from clinical reports with NLP

Unlocking immunogenicity insights from clinical reports with NLP

by | Dec 13, 2025

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

Automating antibody discovery: from data to development

by | Dec 13, 2025

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

ML‑based antimicrobial activity & toxicity prediction

by | Dec 5, 2025

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...
Defining therapeutic compound potential

Defining therapeutic compound potential

by | Dec 5, 2025

The Challenge A biotech company specialising in therapeutic antibodies wanted to assess the potential of a lead compound in a novel disease indication. They needed to mine public single‑cell RNA‑sequencing datasets to evaluate target gene expression and understand...