Utilizing oncology-specific natural language processing (NLP) AI to interrogate individual medical reports and trial inclusion and exclusion criteria, Trial Navigator™ identifies and presents back to care teams all trials for which a patient might be eligible.
Oenone Duroe, General Manager for Inspirata Europe, will oversee the King’s Health Partners ECMC and Guy’s and St Thomas’ NHS Foundation Trust pilot evaluation of Trial Navigator™.
London, United Kingdom, July 13, 2021 (GLOBE NEWSWIRE) -- Cancer informatics and digital pathology provider Inspirata announced today that King’s Health Partners ECMC and Guy’s and St Thomas’ NHS Foundation Trust will pilot its Trial Navigator™ software as part of an evaluation the organisations are conducting into how artificial intelligence based automation can improve the identification and efficiency of matching patients with cancer to early phase clinical trials. Trial Navigator’s introduction as part of a pilot evaluation within the Cancer Early Phase Trials Unit will see Inspirata collaborate with both King’s Health Partners and the Experimental Cancer Medicine Centre (ECMC) Network Programme Office.
Delays in candidate identification and the absence of real-time visibility of open studies introduces a risk that patients miss out on trials for which they could have ultimately proved eligible. By applying oncology-specific natural language processing (NLP) to interrogate both the patient’s individual medical reports and potential trial eligibility criteria, this project will explore the extent to which Trial Navigator can help to improve bottlenecks in both identifying and matching patients to relevant clinical trials.
“At the Cancer Centre at Guy’s, we’re constantly striving to get the best possible outcomes for our patients, and sometimes that means providing them with the opportunity to enrol on trials of new cancer drugs when conventional treatments have been unsuccessful. AI technology offers the potential to better match our patients to available trials, but we need to evaluate them first to prove that they can deliver on their promise,” says Danny Ruta, Clinical Artificial Intelligence Lead, Guy’s and St Thomas’ NHS Foundation Trust. “We hope that the intelligent automation afforded by Trial Navigator will prove to be an effective solution for identifying greater numbers of our eligible cancer patient population for clinical trials.”
“Our patients are looking to us for assurances that all possible options and avenues associated with their care have been thoroughly evaluated,” says Debashis Sarker, Reader in Experimental Oncology in the School of Cancer and Pharmaceutical Studies of King’s College London, and Honorary Consultant in Medical Oncology at Guy’s and St Thomas’ NHS Foundation Trust. “I am hugely attracted to any toolset which serves to augment my own understanding of the different trial options available so that I can impart this confidence and where applicable, see more patients obtain prompt access to potential new treatments in a more timely manner”.