Cancer Data Science Pulse
NCI’s Data Science Time Capsule—A Snapshot in Time
We can dig it! The data science time capsule has been buried for now, but we’ll be digging it up again to check our progress on January 29, 2028!
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Thank you for suggesting digital twins! Enhancing patient outcomes and patient quality of life over the course of cancer treatment is an important role of data science. You might be interested in reading a news article we have on the site about digital twins and their role in cancer care: https://datascience.cancer.gov/news-events/news/commentary-describes-how-digital-twins-could-transform-cancer-care
I think one thing to add would be the specific achievements of cancer systems biology. For example, the progress in using mechanistic, bottom-up molecular-pathway models to understand and design combination therapies. Or, the data-driven, top-down systems biology findings improving our understanding of cancer-relevant molecular networks and cancer drug targets.
We appreciate you taking the time to contribute to the time capsule. Thank you! The intersection of data science and systems biology for cancer research is a great addition. The ability to use data, models, and other resources to improve our understanding of cancer and cancer treatment continues to advance the field.
Great collection for the time capsule! I'd like to add data sharing, FAIR principles, data analytics, biostatistics, and bioinformatics.
These words and phrases make sense for 2022 and beyond. Thank you for submitting them! The Cancer Data Science Pulse Blog has posts highlighting these very topics as well. https://datascience.cancer.gov/news-events/blog
Research
Thank you for submitting the word ‘research,’ and for your interest in the time capsule. The included themes, and those submitted from the larger data science community, are all helping advance the future of the field.
Interesting! I would add the word "power."
Thank you for your submission. Let your colleagues know we are interested in hearing from them as well! We have other blog articles on the theme of ‘power’ in cancer data science, that support your thought! https://datascience.cancer.gov/search/node?keys=power+blog
Thank you for opening this up to submissions. It’s an interesting collection and I’m excited to be able to contribute. 10 or 20 years from now, will we still be saying that we need more data for data science projects or will we have generated enough data and new approaches to overcome any remaining data limitations. I would also add two programs that include significant data science elements, the NCI Human Tumor Atlas Network and the NIH 4D Nucleome Program, to the time capsule.
The NCI Human Tumor Atlas Network and the NIH 4D Nucleome Program are both excellent programs that advance data science and cancer research; thank you for submitting. Be sure to let your colleagues know that we’d like to hear their thoughts on the future of data science as well!
Artificial Intelligence
Artificial intelligence is helping propel cancer data science forward, and it’s such an important part of the time capsule. Thank you for taking the time to contribute. Please consider sharing with friends and colleagues who might want to add their own words as well!
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Anna Mencarelli on September 22, 2022 at 11:26 a.m.