ML‑based antimicrobial activity & toxicity prediction

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...
Defining therapeutic compound potential

Defining therapeutic compound potential

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...
Omics‑driven diagnostics in companion animals

Omics‑driven diagnostics in companion animals

The Challenge A leading animal health company had amassed large volumes of molecular data and needed to develop diagnostics for target disease in cats and dogs. They faced challenges in managing, integrating and extracting value from thousands of proteomic, genomic...
Enhancing drug development through AI & data management

Enhancing drug development through AI & data management

The Challenge A mid‑sized biotech company had invested heavily in data management but was not realising sufficient value. Leadership wanted an assessment of the entire data landscape to identify opportunities for AI‑driven improvements across the drug‑development...
Fully automated diagnostic test for kidney graft rejection

Fully automated diagnostic test for kidney graft rejection

The Challenge Kidney transplant recipients still face high rejection rates, and clinicians need predictive diagnostic tests that can be used soon after surgery. Liquid biopsies based on RNA profiling generate vast amounts of complex data that are difficult to...