Models for Identifying Joint Initiatives
The UCB-Stanford collaboration aims to generate research questions and topics through any of the below models.
Collaboration Research Areas of Interest
Below are the research areas of interest the collaboration is prioritizing. However, the collaboration is open to other topics that fall under these general research areas.
Patient Populations
Neurology
- Parkinson's Disease
- Monitoring motor and non-motor symptoms via wearables combined with AI
- Circuitopathies and networks
- Proxies for biomarkers to correlate with biology to show disease modification across patient groups in a less invasive way (e.g. using serum-based proteomics and immunologics)
- Epilepsy
- Amyotrophic Lateral Sclerosis (ALS)
- Alzheimer's Disease
Immunology
- Hidradenitis Suppurativa
- Fibromyalgia/Chronic Fatigue
- Auto-immune Encephalitis
- MOG
360 Degree View of Patients
- Polygenetic Risk Scoring as PArt of Holistic Assessment
- New Disease Identification by Combining Data Sources and Applying Machine Learning
- Understanding Treatment Responses by combining EMR and Patient-Generated Health Data
- Deep Digital Phenotyping
- Clustering Longitudinally: Following and Samping
- RWE Studies Analyzing Disease Trajectories combined with Machine Learning Predicition Methods
- Combination of Continuous Medicine (Digital/Wearables Data) with Clinical Data (Imaging, EHR, Genetics)
Healthcare Ecosystem Evolution
- FDA CERSI Collaboration to Address Unique Patient/Precision Medicine Needs
- Clinical Trial Optimization
Requests for Proposals
Learn more about the collaboration's previous and upcoming RFPs by hovering over the "Call for Proposals" heading or clicking on the links below.
Upcoming:
- TBD
Closed:
Questions?
Contact ucb-stanford@lists.stanford.edu