Cancer | Yau Research Group

Artificial Intelligence Webinar - Ovarian Cancer Action UK

Recently Christopher Yau worked with Ovarian Cancer Action UK to put together a webinar on his research for patients and the public. You can find the video on Youtube: “What is artificial intelligence and what does it mean for cancer research?”.

Nov 10, 2021 1 min read Machine Learning, Cancer

New study in JCI Insights

Our paper “Adipocyte-like signature in ovarian cancer minimal residual disease identifies metabolic vulnerabilities of tumor-initiating cells” with the Oxford Ovarian Cancer Cell Lab has been featured on the cover of JCI Insight. The work used methods developed by former group student Kieran Campbell.

May 4, 2021 1 min read Cancer

New study in Clinical Cancer Research

With collaborators in the Oxford Ovarian Cancer Lab and Imperial College London, Zhiyuan Hu has identified that OxC-defined EMT-high SOCs carry particularly poor prognosis independent of established clinical parameters. She found these tumours are associated with high frequency of immunosuppressive macrophages, suggesting a potential therapeutic target to improve clinical outcome.

Jan 14, 2021 1 min read Genomics, Cancer

Turing AI Acceleration Fellowship

AI for Cancer

Nov 27, 2020 12:00 AM

Turing AI Acceleration Fellowship

Christopher Yau has been awarded a 5-year Turing AI Acceleration Fellowship.

The Turing AI Acceleration Fellowships are part of the government’s AI sector deal investment in Turing AI fellowships, recommended by the independent 2017 UK AI Review, whose report ‘Growing the artificial intelligence industry in the UK,’ was co-authored by Reguis Professor of Computer Science at Southampton, Dame Wendy Hall, and Jérôme Pesenti, now Vice President of AI at Facebook.

Nov 27, 2020 1 min read Machine Learning, Digital Health, Cancer

Scientists closer to finding the cell of origin for ovarian cancer

Former DPhil student Zhiyuan with the Ovarian Cancer Lab have created a new public engagement video showcasing our work on single cell sequencing of ovarian cancer.