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Resources and Tools: AI in Cancer Research

Artificial intelligence (AI) is leading the way with rapidly growing and revolutionary technological advancements in cancer research. New sophisticated AI models, datasets, applications, and more are being created to support clinicians, researchers, and scientists in improving patient diagnoses, treatments, and care.

To help members of the scientific community engage with the newest technology available, researchers across NCI have compiled a wide-ranging collection of NCI-supported resources and tools specific to artificial intelligence, machine learning, and deep learning.

Informatics Technology for Cancer Research (ITCR) Tool Catalog: Informatics tools for use across the cancer research continuum. Many of the ITCR tools support or employ the use of AI/ML.  
Type: software

NCI-DOE Collaboration AI/ML Resources: Software, data sets, and models resulting from the NCI and Department of Energy collaboration to accelerate advances in precision oncology and scientific computing.
Type: data, models, software

Cancer Research Data Commons: Provides access to a broad and expanding collection of cancer research data. 
Type: data

Human Tumor Atlas Network (HTAN) Data Portal: Provides access to multimodal datasets generated for the creation of 3D atlases of human tumors. 
Type: data

Cancer Complexity Knowledge Portal: Provides access to data, software, and models from NCI interdisciplinary research consortia.
Type: data, software, models

NanCI: Mobile application that uses machine learning to match users’ interests to tailored scientific content.
Type: software

NIH Cloud Lab: Removes barriers to cloud adoption by providing no-cost opportunity to explore new tools and access scientifically relevant training and tutorials.
Type: compute, software, models

National Artificial Intelligence Research Resource (NAIRR): Connects researchers to computational, data, and training resources for AI research.
Type: data, compute

Coalition for Health AI (CHAI): Community of academic health systems, organizations, and expert practitioners of AI and data science. 
Type: communities

Executive Order on the Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence: Establishes a government-wide effort to guide responsible AI development and deployment (published October 20, 2023)
Type: policies and guidelines

Blueprint for an AI Bill of Rights: A set of guidelines for the responsible design and use of AI, created by the White House Office of Science and Technology Policy (published October 2022).
Type: policies and guidelines

NIST Trustworthy and Responsible AI Resource Center: Resources to support the development and deployment of trustworthy and responsible AI technologies. 
Type: policies and guidelines

National Artificial Intelligence Research and Development Strategic Plan 2023 Update: Defines the major research challenges in AI to coordinate and focus federal R&D investments.
Type: policies and guidelines

Health Care Artificial Intelligence Code of Conduct: An initiative of the National Academy of Medicine to ensure accurate, safe, reliable, and ethical AI algorithms and their application in health, health care, and biomedical science. 
Type: policies and guidelines

Artificial Intelligence at the NIH: AI research activities supported by the NIH.

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