The National Institutes of Health (NIH) recently released the its 2022 Research Highlights, divided into three categories: Human Health Advances, Promising Medical Findings and Basic Research Insights. NIH in its highlights emphasized an advancement discovered from a study that used machine learning and artificial intelligence to create an accurate model to detect glioblastoma tumor boundaries. The machine learning approach detects brain tumor boundaries. Glioblastoma can be hard to distinguish from normal brain tissue, complicating treatments such as surgery. Using federated machine learning, data from thousands of patients with glioblastoma were used to develop an accurate model for detecting tumor boundaries while preserving patient privacy. This approach could be adapted to provide insights in other fields where data are scarce, such as rare diseases or underrepresented populations. The National Institute of Biomedical Imaging and Bioengineering (NIBIB) also released its Year in Review, the Institute’s top science news of 2022. These findings include advances in imaging and wearables, as well as COVID-19 updates. A notable NIBIB-funded development is an imaging method that would allow better identification of cancerous cells in a tumor margin during surgery.
The American College of Radiology® (ACR®) will continue to advocate for NIH and biomedical research agencies throughout 2023 to ensure discoveries and research progress.
For more information, please contact Katie Grady, ACR Government Affairs Director.