Our ambition is to distill the vast and ever increasing complexity of medical data and research into simple tools enabling clinicians to make better choices for their patients.
Earlier diagnosis is critical to increasing the cancer survival rate so patients can receive treatment when there is a better chance of achieving a complete cure. In 2018 PinPoint began developing a test to quickly triage patients with symptoms to help clinicians reduce patient anxiety and time to diagnosis.
Working with clinicians and academics we have created The PinPoint Test. It uses machine learning to combine signals from multiple blood analytes and basic patient information into a single clinical decision support tool. This allows clinicians to easily identify those patients who should be referred to specialists for cancer diagnosis, red flag particularly urgent cases and identify those who can be safely investigated for other possible causes of their symptoms.
