Using AI in the screening and treatment of kidney cancer
Update: 2025-08-27
Description
Have you ever wondered how artificial intelligence (AI) is used in research in a healthcare setting? Rebecca Wray and Bill McGough, two PhD students at the University of Cambridge, both use AI in different ways in their research into the screening and treatment of kidney cancer.
Rebecca is an MRes PhD student investigating the response and resistance to therapy in patients with kidney cancer. She uses AI to find tumour features at multiple scales. For his PhD, Bill is developing AI models that will sift through the mounds of imaging data produced during the Yorkshire Kidney Screening Trial (funded by Yorkshire Cancer Research), flagging images that show masses in the kidneys.
This interesting conversation gives insight into how researchers are using patient data safely in order for AI models to integrate all the information about a patient to help review their treatment and personalise it. The discussion also highlights how using AI in the screening setting is speeding up processes to help save clinicians' time and allowing the potential earlier detection of kidney cancer in a cost-effective manner.
Rebecca is an MRes PhD student investigating the response and resistance to therapy in patients with kidney cancer. She uses AI to find tumour features at multiple scales. For his PhD, Bill is developing AI models that will sift through the mounds of imaging data produced during the Yorkshire Kidney Screening Trial (funded by Yorkshire Cancer Research), flagging images that show masses in the kidneys.
This interesting conversation gives insight into how researchers are using patient data safely in order for AI models to integrate all the information about a patient to help review their treatment and personalise it. The discussion also highlights how using AI in the screening setting is speeding up processes to help save clinicians' time and allowing the potential earlier detection of kidney cancer in a cost-effective manner.
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