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Vision 2050

Where Expert Analysis Meets Artificial Intelligence to Peek Beyond the Horizon of Tomorrow's Cancer Care.

Cancer Futures: Vision 2050 provides actionable intelligence on the future of cancer care, marrying the latest cutting-edge AI analysis and seasoned expertise.

What's inside:

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Contents of the Report

NUMBERS: PREVIEW QUESTION 1

What are the predicted changes in cancer incidence in the world's regions?

Estimated number of new cases from now to 2050, Males and Females

World

World

United Kingdom

Source: World Health Organisation

NUMBERS: PREVIEW QUESTION 2

Which countries currently have a higher and lower than average cancer incidence for the four common types and how will this change?

Estimated growth in the number of new cases from 2020 to 2045

Source: World Health Organisation

PREVENTION: PREVIEW QUESTION 1

Will novel markers of cancer risk be identified?

The possibility of identifying novel markers of cancer risk and using them for early detection, correction, and monitoring, analogous to how serum cholesterol and statins are used in preventing ischemic heart disease, is a promising area of ongoing research in cancer prevention and treatment. Click 'Read more' to learn more about the potential of this approach.

DIAGNOSIS: PREVIEW QUESTION 1

Will the threshold for seeking medical help for cancer symptoms reduce with better education?

The threshold for seeking medical help for cancer symptoms is likely to reduce with better education and awareness, but this is contingent on several factors. Education and awareness campaigns play a crucial role in improving public understanding of cancer symptoms, the importance of early detection, and removing stigma associated with the disease.

TREATMENT: PREVIEW QUESTION 1

Can an AI system use predictive models to replace waiting lists with immediate treatment at what cost?

Implementing a system that uses predictive models to replace traditional waiting lists with immediate treatment for conditions like cancer represents an ambitious shift towards a more proactive and efficient healthcare delivery model. Such a system aims to prioritize treatment based on the predicted urgency and benefit to the patient, rather than on a first-come, first-served basis. This approach could potentially improve outcomes by ensuring timely care for those who need it most. However...

ECONOMICS: PREVIEW QUESTION 1

Can we predict the change in total lifetime cost of optimal care for the big four cancers?

The cost of cancer drugs is driven by the US market. Currently 75% of the global cancer drug expenditure is in the US – yet which only 5% of global population. Predicting the future total lifetime costs of optimal care for the "big four" cancers (lung, breast, colorectal, and prostate cancer) is complex due to the interplay of several dynamic factors, including advances in treatment technologies, drug pricing and policies, demographic shifts, and changes in healthcare delivery models.

WORKFORCE: PREVIEW QUESTION 1

How will the workforce change in the era of AI and Physician Associates?

The introduction of artificial intelligence (AI) and physician associates (PAs) into the healthcare workforce is expected to bring significant changes, impacting various aspects of how healthcare is delivered. Click 'Read more' to preview an exploration of potential transformations:

SERVICE CONFIGURATION: PREVIEW QUESTION 1

Will huge global cancer networks of integrated day centres become the best way to deliver optimal care?

The concept of creating large global cancer networks of integrated day care centres, leveraging common protocols, massive purchasing power, and reduced variability to deliver optimal care, represents a forward-thinking approach to transforming cancer care delivery. This model has several potential advantages, especially for those who can afford access to such networks, and it aligns with broader trends in healthcare towards standardization, efficiency, and globalization. Click 'Read more' to preview how such a model could shape the future of cancer care: