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
Researchers from Mass General Brigham and their collaborators present Tripath: new, deep learning models that can use 3D pathology datasets to make clinical outcome predictions. In collaboration with the University of Washington, the research team imaged curated prostate cancer specimens, using two 3D high-resolution imaging techniques. Tripath performed better than pathologists and outperformed deep learning models that rely on 2D morphology and thin tissue slices. Source: Mass General Brigham
Measuring heart rate or body temperature may sound easy, but retrieving the data from small animals with bulky traditional tech is difficult, especially during behavioral tests, which are critical for understanding brain disorders. Thanks to a recent study, the animal data is now in reach.
Malignant primary brain tumors are the leading cause of cancer deaths among children and young adults with few therapeutic options. A preclinical study in Pharmaceutics shows that combining focused ultrasound with microbubbles opened the blood brain barrier to deliver immunotherapy into the brain of a large animal model.
A new study involved high-resolution scans that enabled the researchers to visualize brain connections at submillimeter spatial resolution. Together, these pathways form a 'default ascending arousal network' that sustains wakefulness in the resting, conscious human brain. Source: Massachusetts General Hospital
Penn State researchers have discovered two proteins that differentiate stem cells into the components of blood vessels. The finding has implications for drug testing and other clinical applications. Source: Penn State