Watch the Video
Watch 5 Tips for Using Machine Learning in Your Research (approx. 6 minutes long).
Test Your Knowledge
Machine learning is the same as artificial intelligence.
A. True
B. False
The correct answer B: False. Artificial intelligence allows a computing machine to solve problems by mimicking the human brain. Machine learning is a subset of this ability, improving on the problem-solving process by allowing a machine the ability to teach itself and learn from its mistakes.
The incorrect answer is A: Although often used interchangeably, they are related but not the same.
Related Materials
- NIH-supported Scientific Data Repositories: Browse the list of imaging, genomic, proteomic, animal, pre-clinical, and clinical data sets. Details also include institutes/centers affiliated with the repositories, and whether or not open data may be submitted.
- AI for Efficient Programming: Develop your understanding of how you can use large language models to do common programming tasks faster. In this course, there are examples and hands-on activities for you to practice and test your knowledge.
- AIM-AHEAD Research Fellowship: Visit the website to learn more about this program and when/how to apply.
- National Library of Medicine: Peruse the largest biomedical data library in the world.
- NCI-DOE Collaboration Machine Learning Resources: Explore the open access software, models, and data developed through NCI’s collaboration with the Department of Energy.
- Interpretable and Explainable Deep Learning: Watch this presentation on deep neural networks, including challenges, frameworks for evaluation, and how to apply that framework across different data sets.
- Theranostics and AI—The Next Advance in Cancer Precision Medicine: Learn how AI is supporting research in chemotherapy, radiation, and other therapeutic strategies to diagnose and treat cancer.
- Machine Learning Tool Offers Insight Into Cancer Treatment for Older Patients: Learn how this tool can be used to predict which patients are more likely to benefit from a treatment.
- Deep Learning Tool Predicts Risk for Pancreatic Cancer: Read how NCI-funded researchers collaborated with Denmark scientists to develop a deep learning tool for predicting risk for pancreatic cancer.
- NCI-Supported Study Uses Deep Learning for Cancer Prognosis: Discover a model that gives researchers the ability to examine pathology whole slide images and molecular profile data from 14 cancer types.
- Machine Learning Modeling Generates Accurate Insights into RAS-membrane Biology: Read the journal article that details how a multiscale platform called “MuMMI” is using machine learning to investigate RAS activation events.
- New Deep Learning Tool Accurately Classifies Tumor Types: Read the journal article on how NCI and Department of Energy researchers developed a tool called “TULIP” for classifying human RNA-sequence-based tumor types.
- AI for Decision Makers: With this course, you’ll learn how to make strategic decisions, drive innovation, increase efficiency, and promote a culture that embraces the power of AI technologies.
Keep Going
Continue to Chapter 6 to learn about big data technologies we think can accelerate your education and research.
- Ready to start your project? Get an overview of the data science lifecycle and what you should do in each stage.
- Need answers to data science questions? Visit our Training Guide Library.
Instructor
Ismail Baris Turkbey, M.D., NCI Center for Cancer Research (CCR)
Dr. Turkbey is a senior clinician at NCI’s Molecular Imaging Branch and the director of NCI’s Artificial Intelligence Resource in CCR. His research focuses on artificial intelligence and imaging, biopsy techniques, and focal therapy for prostate cancer.
For questions and feedback about this chapter, email our team at ncicbiit@mail.nih.gov.