Network predictive diagnostics
for cancer immunotherapies and target discovery
Leverage our ability to delineate the immune - tumor - stroma communication networks to identify patients that are likely to respond to immunotherapy and to discover new targets and drug combinations to treat those who do not.
From inter-cellular communication networks to predictive diagnostics and target discovery
Individual patients’ inter-cellular communication network
Response prediction based on classification
according to network patterns
Discovery of effective new drug combinations and new targets
What We Do
Pyxis Diagnostics develops a novel computational biology platform that aims to predict patients' response to Immuno-Oncology treatments and identify potential new drug combinations disrupting resistance in non-responding patients.
How we Do It
By comparing cellular network patterns between responders and non-responders, Pyxis identifies network patterns associated with response (i.e. predictive biomarkers) and lack of response. Suppressive network pattern associated with immune-resistance mechanisms are used to identify new drugs or drug combinations to disrupt these suppressive network features.