Data Science and Bioinformatics

The volume and complexity of data that is generated by and accessible to the drug development industry is increasing significantly, driven in part by advancements in technology (i.e. omics technologies, data storage technologies etc.), complex trial design, real-world evidence and regulatory pressures.

The experience of the Physiomics team in routinely handling vast, complex data sets and ability to build model frameworks that can prioritise and visualise data from disparate public sources to align with your research objectives, allows extraction of unique insights that can inform your development/pipeline strategy.

Physiomics can help you find, curate and integrate relevant data into a model framework and create tailored and informative visualisations of model outputs based on specific criteria that is relevant to the question at hand.

Through a number of bioinformatics methodologies, we enable you to confidently deduce the necessary insights to drive forward your drug development programmes that otherwise would be missed.

Potential applications include;

• Target ID
• Indication selection
• Cancer type prioritisation
• Patient stratification

Physiomics worked with client Bicycle Therapeutics to model the preclinical and translational PK/PD relationship for BT7480, a Nectin-4/CD137 Bicycle tumor-targeted immune cell agonist™ (Bicycle TICA™).  This was presented as a poster at SITC.