301-451-6771
shabestb@mail.nih.gov
Emphasis
The emphasis is on development of transformative machine intelligence-based systems, emerging tools, and modern technologies for diagnosing and recommending treatments for a range of diseases and health conditions. Unsupervised and semi-supervised techniques and methodologies are of particular interest.
Program priorities and areas of interest:
- clinical decision support systems
- computer-aided diagnosis
- computer-aided screening
- analyzing complex patterns and images
- screening for diseases
- natural-language processing and understanding
- medical decision-making
- predictive modeling
- computer vision
- robotic and image guided surgery
- personalized imaging and treatment
- drug discovery
- radiomics
- machine/deep learning-based segmentation, registration, etc.
Additional support
This program also supports:
- early-stage development of software, tools, and reusable convolutional neural networks
- data reduction, denoising, improving performance (health-promoting apps), and deep-learning based direct image reconstruction
- approaches that facilitate interoperability among annotations used in image training databases
Related News
Due to its high accuracy, lab-based PCR testing is the gold standard for infectious disease diagnostics. Yet PCR's availability is limited, especially in low-resource settings. New research suggests a new kind of test could be more streamlined without sacrificing performance.
Bioengineering researchers at Rice University have developed ultrasmall, stable gas-filled protein nanostructures that could revolutionize ultrasound imaging and drug delivery. Unlike current microbubbles or nanobubbles that are too large to cross biological barriers effectively, the novel diamond-shaped 50-nanometer gas vesicles (50-NM GVs) — approximately the size of viruses — are believed to be the smallest stable, free-floating structures for medical imaging ever created. Source: Rice University News
Dr. Bruce Tromberg, NIBIB Director, speaks with Research America! Alliance on the history and trajectory of NIBIB and bioengineering as a tool that is focused on collaboration to develop cutting-edge technology in service of health science breakthroughs. Source: Research America! blog.
Researchers have established an RNA-based method that drives cells in the body to produce therapeutic proteins and secrete them into the bloodstream. The approach could extend the lifespan of drugs in the body, reducing the burden on patients.
Artificial intelligence models often play a role in medical diagnoses, especially when it comes to analyzing images such as X-rays. However, studies have found that these models don’t always perform well across all demographic groups, usually faring worse on women and people of color. Source: Massachusetts Institute of Technology News