- Agriculture
- Antibiotic/anti-viral
- Biologics
- Biomarkers
-
By Clinical Application
- Anesthesiology
- Blood & Lymphatic Disease
- CNS & Neurosciences
- Dermatology
- Diabetes, Metabolism, Endocrinology & Obesity
- Ear, Nose, & Throat
- Gastroenterology & Digestive Disease
- General & Plastic Surgery
- Health Education, Medical Training and Operations
- Heart and Vascular
- Immunology, Autoimmune & Inflammation
- Infectious Diseases
- Mental Health
- Multiple clinical applications
- Musculoskeletal Disorders, Orthopedics/Bone
- Nephrology/Renal
- Oncology
- Ophthalmology
- Orphan Diseases
- Pediatrics
- Physical Medicine & Rehabilitation
- Radiology
- Regenerative Medicine / Tissue Engineering
- Reproductive Health: Obstetrics & Gynecology
- Respiratory & Pulmonary
- Surgery
- Transplantation
- Urology
- Wound Healing
- COVID-19
- Creative Works
- Diagnostics
- Drug Delivery
- Drug screening and discovery
- Energy, Cleantech & Environmental
- Engineering & Physical Sciences
- Gene therapy
- Imaging
- Materials
- Medical Devices
- Nutraceuticals
- Other
- Research & Design Tools
- RNAi/siRNA
- Sensors & Controls
- Small molecules
- Software & Information Technology
- Stem Cells
- Vaccines
An artificial intelligence powered direct prediction model of machine parameters to enhance patient specific pre-treatment during radiation therapy
Unmet Need Intensity modulated radiation therapy (IMRT) and volumetric modulated radiation therapy (VMAT) are commonly used radiation therapy techniques that are characterized by their highly conformal dose distributions and require pre-treatment quality assurance to ensure…
Smart microscope for diagnosing disease
Value Proposition Since its invention, the microscope has been optimized for interpretation by a human observer. Recently, however, deep learning algorithms have been developed for automated image analysis in a variety of important contexts, such…
Parametrization of fractal signature data
The risk of knee osteoarthritis progression can be predicted from the subtle characteristics revealed on a knee radiograph of the subchondral bone, i.e. bone that underlies the articular cartilage. This technology is software code to…
Pallialytics, a machine learning model to determine palliative-care eligible patients
Unmet Need Palliative care is specialized medical care that is focused on providing seriously ill patients with relief from symptoms, pain and stress. Palliative care can be provided at any time during an illness with…
Algorithms for analysis of knee radiographs
Value Proposition Knee osteoarthritis accounts affects at least 19% of American adults aged 45 years and older. It is a disabling joint disease with causes that remain poorly understood but are commonly attributed to aging…
Machine learning algorithm to predict malignancy in thyroid nodules
Value Proposition An estimated 10% of the general population in the United States are expected to develop a thyroid nodule in their lifetime. Although the vast majority of thyroid nodules are noncancerous, a small proportion…
A high-speed echocardiographic system that can assess cardiac function in real-time
Unmet Need Since its inception in the mid-1970s, real-time echocardiography employing phased array principles has had a significant impact on the practice of medicine particularly in cardiology. The real-time or live nature of image formation…
Systems and methods for learning and accumulating optimal strategies for radiation treatment planning
Unmet Need Cancer is a leading cause of death worldwide, with almost 10 million deaths and over 19 million new cases in 2020. These numbers are expected to grow, with 28 million new cases estimated…
System and method for training radiation treatment planners using knowledge-based models
Unmet Need Cancer is a leading cause of death worldwide, with almost 10 million deaths and over 19 million new cases in 2020. These numbers are expected to grow, with 28 million new cases estimated…
Systems and methods for automatic radiation treatment plan generation and evidence-based customization for breast cancer
Unmet Need Breast cancer is now the most commonly diagnosed form of the disease, with 2.3 million new cases in 2020. Some of the most effective therapies for cancer are based around beams of radiation…
System and method for automated fluence map prediction and radiation treatment plan generation
Unmet Need Cancer is a leading cause of death worldwide, with almost 10 million deaths and over 19 million new cases in 2020. These numbers are expected to grow, with 28 million new cases estimated…
Systems and methods for automated radiation treatment planning with decision support
Unmet Need Cancer is a leading cause of death worldwide, with almost 10 million deaths and over 19 million new cases in 2020. These numbers are expected to grow, with 28 million new cases estimated…