- Agriculture
- Antibiotic/anti-viral
- Biologics
- Biomarkers
-
By Clinical Application
- Anesthesiology
- Blood & Lymphatic Disease
- CNS & Neurosciences
- Dermatology
- Diabetes, Metabolism, Endocrinology & Obesity
- Ear, Nose, & Throat
- Emergency Services
- 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
- Veterinary Medicine
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…
MRHistology complement to light sheet microscopy
Unmet Need Brain researchers frequently rely on mouse models to conduct basic research on brain structure/function, pathology, connection, and a host of mouse models of neurologic disease. Light sheet microscopy is an emerging technology that…
Human-computer collaborative process monitoring system: Monitoring Information Notification Display (MIND)
Unmet Need Many large-scale, automated biomanufacturing processes can be controlled remotely but still utilize in-person monitoring. Active monitoring is a critical aspect of manufacturing process control as it helps identify and mitigate problems that may…
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…
Leveraging machine learning to predict and prevent poor health outcomes
Value Proposition Problem behaviors are the leading preventable causes of death and disability in the U.S. Cigarette smoking, for instance, is responsible for over 480,000 deaths in the U.S. every year, and obesity is responsible…
Machine learning algorithm to improve performance of hearing aids and cochlear implants in reverberant environments
Unmet Need In the US, nearly 30 million adults require assistive hearing technology such as hearing aids and cochlear implants. Even with assistive devices, hearing impaired individuals have particular trouble with speech recognition in reverberant…
Van-Cittert Zernike ultrasound imaging for improved contrast and noise reduction
Unmet Need Diagnostic ultrasound is used in the assessment of a broad range of medical conditions spanning tumors, heart abnormalities, joint inflammation, and thyroid diseases, which collectively affect millions of Americans annually. These conditions encompass…
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…
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…
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…
Machine learning model to improve adult ADHD diagnosis
Unmet Need Attention-deficit hyperactivity disorder (ADHD) is a common neurodevelopmental disorder with a substantial effect on families and society. It is marked by the person’s hyperactivity, inability to keep focus and control impulsive behaviors. Despite…
Memory-efficient deep learning algorithms for computed tomography image reconstruction
Unmet Need Using high resolution images such as computed tomography (CT) has become a popular tool to guide medical interventions from radiotherapy to dental implantation. The market for CT services is expected to grow from…