『The Cancer Research UK Cambridge Centre Podcast』のカバーアート

The Cancer Research UK Cambridge Centre Podcast

The Cancer Research UK Cambridge Centre Podcast

著者： Cancer Research UK Cambridge Centre
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 The Cancer Research UK Cambridge Centre unites over 1,000 world-leading biologists, chemists, physicists, engineers, mathematicians, computer scientists, clinicians, nurses and allied healthcare professionals from across Cambridge, UK to tackle cancer from every angle. Our mission is to end death and disease caused by cancer through research, treatment and education. We are detecting cancer at its earliest stage and are developing personalised treatments for every patient through facilitating new collaborations and driving the translation of new scientific discoveries into clinical applications to improve patient care. By working together across a range of different disciplines, our members are breaking down the barriers between the laboratory and the clinic, enabling patients to benefit from the latest innovations in cancer science.All rights reserved 科学
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  • Why patient and public involvement and engagement is important and what it means to those involved

    Why patient and public involvement and engagement is important and what it means to those involved
    2025/11/12
    Have you ever thought about getting involved in research as a patient or supporter? In this episode, Ellie Wolmark talks to the incredible members of the Women⁺s Cancers Programme Patient and Public Involvement and Engagement (PPIE) Group about how they are involved in our research, why they think involvement is so important, and what it means to them to be a part of the group. Not only do they share their stories and thoughts, but they also offer huge insight into their disease and the research surrounding it. They talk about how they can help and make an impact, not just for themselves and each other, but also for patients of the future. Their involvement is about making things easier, supporting quicker diagnoses, and helping to shape better, more personalised treatments. The episode is incredibly uplifting. You will hear how empowering they find being part of the group and engaging with research. They are a shining example of how knowledge is power. Their support for one another, and for the researchers through the ups and downs of this disease, gives real hope for a better future. Further information: -Find out more about the DEMO Project at https://ovarian.org.uk/our-research/improve-uk/demo-uk/ -Join the Wellcome Connecting Science course on 'The Power of Patient Advocacy in Genomics: Influencing Research, Clinical Practice and Decision Making' at https://www.futurelearn.com/courses/the-power-of-patient-advocacy-in-genomics-influencing-research-clinical-practice-and-decision-making
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    1 時間 17 分
  • The association between radioresistance and tumour evolution

    The association between radioresistance and tumour evolution
    2025/10/22
    Is a tumour's ability to evolve and adapt over time linked to why it becomes resistant to radiotherapy? And if so, what can we do to overcome this radioresistance? In this episode, Dr Christopher Jones and Dr Ashley Nicholls from CRUK RadNet Cambridge at the University of Cambridge explore these questions. They explain why some tumours are resistant to radiation and why some patients are more resistant to treatment than others. They also offer insights into why recurrence happens and how to identify it early in order to treat it more effectively with new technologies. This includes designing new tools to make drug delivery more accurate and new genetic approaches to investigate specific ways to treat cancer in the context of radiation. Chris works predominantly in oesophageal cancer, while Ash studies lung cancer, but both strive to understand why relapse and radioresistance occur to then try to target these cancers with specific drugs or drug combinations to lessen toxicity and help personalise treatment.
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    45 分
  • Using AI to mathematically model the progression of glioblastoma

    Using AI to mathematically model the progression of glioblastoma
    2025/10/08
    Can we use artificial intelligence (AI) to predict where a brain tumour might recur at the point of first diagnosis in order to pre-emptively treat it to stop recurrence? Dr Francesca Cozzi (a PhD student at the University of Cambridge) and Dr Curtis Holliman (Associate Professor in the Mathematics Department at The Catholic University of America, USA) believe this will eventually be possible. In this exciting conversation they talk about their collaboration to find a mechanism to mathematically model the progression of glioblastoma. They highlight why it is important to achieve this in an explainable way using AI, to keep the process of decision making transparent and interpretable to self-validate the models they develop.
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    29 分
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