Highlighted Topics Spotlight: Cancer Research

Graphic of spotlight reading

Have you explored the NIH Highlighted Topics recently? If not, now is a great time to take a look and learn more about this centralized list of selected research priority areas within the NIH Institutes, Centers, and Offices (ICOs).  

To help bring additional visibility to these priority areas, we will periodically spotlight Highlighted Topics here in the Nexus. And remember: don’t judge a book by its cover. Participating ICOs often describe how research within the scope of their mission connects to the broader topic area in unique and important ways. 

Today’s Spotlight: Cancer Research 

Current cancer-related Highlighted Topics include: 

If any of these (or other Highlighted Topics) align with your research interests, we strongly encourage you to reach out early to the appropriate scientific contacts. Program staff can help you determine how your research idea may fit, identify appropriate parent funding opportunities, and answer questions related to your application. 

Resources 

Categories: Tips Before You Submit

Related News

Helpful Reminders to Ensure Integrity of NIH-Supported Research When Using Artificial Intelligence

The rapid adoption of artificial intelligence (AI) has led to powerful new advances in biomedical research. Alongside these NIH-supported scientific advances and priority research areas involving AI, we have also occasionally observed challenges with the use of these tools that affect the integrity of the science we support. Today, we are sharing some helpful reminders on the appropriate use of AI tools when applying, managing awards, and conducting the research process itself.

Top Stories

Selecting the Right Models for Your Research: A Focus on New Approach Methodologies (NAMs)

NIH supports a wide range of scientifically sound approaches to advance our understanding of human health and disease. As we continue to encourage approaches that enhance human relevance and translational potential, investigators should still select the models most appropriate for their specific research questions.

Tips Before You Submit

For technical issues E-mail OER Webmaster