Evaluating new healthcare technologies in cancer
In plain English
AI plain-English summaryA single clinical trial programme will test new cancer drugs, artificial intelligence tools, and blood-based biomarkers simultaneously to speed up how quickly effective treatments reach patients. The problem is that evaluating new cancer therapies one at a time is slow. Patients may wait years for a promising drug to complete sequential trials. This programme compresses that timeline by testing multiple approaches—targeted drugs for genetically defined cancers, drugs that starve tumours by blocking blood vessel growth, and immuno-oncology drugs that help the immune system kill cancer cells—in parallel studies. It also tackles a practical bottleneck: radiotherapy planning is complex and time-consuming. Using artificial intelligence to automate treatment planning could allow many more patients to be treated sooner, and the approach could be deployed worldwide. If successful, the programme could change how cancer clinical research is conducted, making it faster and more efficient. Blood samples collected during the studies will be analysed with laboratory scientists and industry partners to understand how cancers develop and grow, feeding that knowledge back into future trial designs. The work is applied—it directly tests new technologies in patients—but it also generates fundamental biological insights that could inform cancer research for years to come.
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