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By successfully researching and improving cancer treatment, when the method is advertised around the world, the research group/country could earn valuable profits that would spur the global economy to even further medical research.

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Data collection allows workers to gather and analyze data more effectively. In the context of advancing cancer research, data collection can improve economic aspect of cancer research by more efficient analysis and storage of data.

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Data collection can support early cancer detection and prevention. Identifying high-risk populations could lead to earlier cancer detection which would allow for more effective and less costly treatment

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Relying solely on data in advancing cancer research may not be ideal as data bias could occur where only certain cases are taken into account. This could affect possible treatments and only benefit certain types of people.

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UCLA health data breach

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By adding more comprehensive data, doctors can recognize patterns and symptoms for certain diseases more easily and accurately. The accuracy of AI detection and the possibility for machine learning to analyze the symptoms of the patient can become better, which can lead to time saved, and more resources to people in need.

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- Hospitals could increase cancer treatment costs as there is the possibility that in the case the treatment outcomes are more decisive, then the costs associated with cancer treatment costs from the patient's side could increase.

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Using qualitative data can be problematic if anonymity is not respected

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Using qualitative data can be problematic if anonymity is not respected

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Advantages:
- by collecting data's from the patient, we could use these data to identify the patterns of cancer risk, such as age, dietary habits, genetic inheritance, etc.

Disadvantages： However, this may cause ethical issues, because not every patient is willing to give every information of themselves, their family genetic history may need to be collected, this may cause privacy issues

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Using data for cancer research can be useful to improve knowledge of doctors by analyzing data patterns of cases in past

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Using data for cancer research can be useful to improve knowledge of doctors by analyzing data patterns of cases in past

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By using technology to improve treatment of cancer many lives would be saved globally, however it would likely be expensive and a luxuury; for example of a technology that improved health are apple watches, by having trackable steps and much more, however it's expensive.

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In Switzerland they developed an algortihm that can personalize cancer treatment based on their data about their tumor.

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In Switzerland they developed an algortihm that can personalize cancer treatment based on their data about their tumor.

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If machine learning is used to support cancer research, scientist must ensure to have a good data inputs to support machine learning algorithms to have a positive impact on patients.

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If machine learning is used to support cancer research, scientist must ensure to have a good data inputs to support machine learning algorithms to have a positive impact on patients.

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By gathering and analyzing extensive data on various aspects of cancer, from patient genetics to treatment responses, researchers can gain valuable insights that can lead to more targeted and effective treatments.  For example: Personalized Medicine

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Important problems can be identified. For example, if many cancer patients suffer from the lack of early prevention and detection, leading to cancer growth and development, researchers will know that this is a problem that should be prioritized.