Member of the winning team and DPhil student in Clinical Medicine, PeterLiu, told Cherwell: “The OxfordFoundry provided a fast-paced and multi-disciplinary learning experience oninnovation and entrepreneurship through the All-Innovate Idea Competition. DECancer.AI artificial intelligence detects early cancer through analysis of an affordable blood test and the patient’s medical history, allowing for early treatment and care and increasing the chances of the cancer being cured. “DECancer.AI is an artificial intelligence based platform that analysesmulti-dimensional liquid biopsy results and personalised patient medicalhistory to detect cancer early.” By detecting cancers early, the platform would “enable effective cancertreatment at the earliest stage,” Liu explained. A team of five students have come first in the Oxford Foundry’s All-Innovate Competition, winning a prize of £10,000 for developing a new cancer diagnosis platform. When asked about the diagnostic platform, Peter Liu told Cherwell: “Cancers with the highestmortality in the world are often diagnosed too late, and early diagnosis saveslives and money for healthcare systems. “Unfortunately, current diagnostics, including invasive tissue biopsy andcomplex imagining, cannot detect cancers early. Liquid biopsy offers asolution; it is a blood test that detects cancer materials shed into theblood.” Liu told Cherwell that the team“hopes to do their part in the fight against cancer, providing hope forpatients and their families.” The All-Innovate competition is the first business idea competition heldat the University of Oxford, engaging over 200 students from 21 colleges. Eachcollege selected their best teams to go forward to a one-day boot camp. Therewas also a series of 24 workshops organised by the Foundry, focused on deliveringand implementing ideas. “From the Saturday boot camp for shortlisted teams to the week-long bootcamp for finalists, focusing on public speaking, delivering pitches, andimplementing ideas, we were challenged to think critically about our start-upand tangible steps to move it forward.” The competition offered two other prizes, for the best undergraduate andpostgraduate teams, worth £5,000 each.