Literature mining for benchmarking analysis

Literature mining for benchmarking analysis

by | Sep 16, 2026

The Challenge The client is conducting a first-in-human trial of a treatment for osteoarthritis and needs to assess its performance against competing therapies and determine the appropriate sample size for the pivotal trial. There are too many articles to review...
Converting genetic resistance into metabolic yield

Converting genetic resistance into metabolic yield

by | Apr 10, 2026

Salmonella infection in poultry has a detrimental effect on growth and, therefore, production. Knowledge of host resistance genes helps optimize precision management. Using our Bio|Reflect tool, we harnessed LLMs to analyze 300k publications, identify and prioritize...
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...