SPADA (Predictives and Diagnostics)
SPADA, the Stanford Predictives and Diagnostics Accelerator, assists interdisciplinary innovators in research, development and deployment of technologies that improve human health through disease prediction and/or diagnosis.
Contact Information
Jim Zuegel
SPADA Program Manager
Phone: (650) 906-6099
Email:
Russ Altman, MD, PhD
SPADA Faculty Director
Email:
Program Overview
SPADA, the Stanford Predictives and Diagnostics Accelerator, was established in October 2013 under the umbrella of Spectrum, the Stanford Center for Clinical and Translational Reseaserch and Education.
Mission
To assist interdisciplinary innovators in research, development and deployment of technologies that improve human health through disease prediction and/or diagnosis.
Program Initiatives
- Innovation Accelerator Pilot Grants
- Diagnostics and predictives innovation training
- Mentoring on development, translation and technology transfer processes
- Community educational events that bring researchers, engineers, health-care providers and industry experts together to cross-pollenate and collaborate
SPADA, the Stanford Predictives and Diagnostics Accelerator, was established to assist interdisciplinary innovators in research, development and deployment of technologies that improve human health through disease prediction and/or diagnostics.
Translating optical coherence tomography to diagnose Meniere’s disease
Year: 2015
Investigator: John Oghalai, MD, associate professor of otolaryngology
Microendoscopic sarcomere visualization for the diagnosis, prognosis and monitoring of ALS
Year: 2015
Investigator: Scott Delp, PhD, professor of bioengineering and of mechanical engineering; Mark Schnitzer, PhD, associate professor of biology and of applied physics
Machine vision for broad microbial detection: A rapid and automated approach for identifying pathogenic bacteria through DNA melting
Year: 2015
Investigator: Samuel Yang, MD, associate professor of surgery
Multiplex detection and sequencing of the viral repertoire in clinical samples
Year: 2015
Investigator: Curt Scharfe, senior scientist in biochemistry; Justin Odegaard, MD, PhD, instructor of pathology; Benjamin Pinsky, MD, PhD, assistant professor of pathology and of medicine; Martina Lefterova, MD, PhD, clinical pathology resident
Creating a $150 autism diagnosis
Year: 2015
Investigator: Dennis Wall, MD, PhD, associate professor of pediatrics; Maude David, postdoctoral scholar in pediatric systems medicine
Assessment and prediction of age-related macular degeneration progression through quantitative imaging biomarkers
Year: 2014
Investigator: Daniel Rubin, MD, assistant professor of radiology and of biomedical informatics; Luis de Sisternes Garcia, PhD in radiology; and Ted Leng, MD, assistant professor of ophthalmology at the Byers Eye Institute.
Journal articles:
http://www.ncbi.nlm.nih.gov/pubmed/25301882
http://www.ncbi.nlm.nih.gov/pubmed/4237666
http://www.ncbi.nlm.nih.gov/pubmed/25062439
The diagnosis and characterization of major depressive disorder by applying machine learning methods to human neuroimaging data
Year: 2014
Investigator: Matthew Sacchet, graduate student in neurosciences; Gautam Prasad, PhD, psychology visiting scholar; Ian Gotlib, PhD, professor and chair of psychology.
First in-human clinical trial of manganese-enhanced MRI (MeMRI) to assess peri-infarct injury
Year: 2014
Investigator: Phillip Yang, MD, associate professor of cardiovascular medicine; Rajesh Dash, MD, PhD, assistant professor of cardiovascular medicine; Dwight Nishimura, PhD, professor of electrical engineering.
Development of non-invasive, laser-based breath-ammonia sensor for urea-cycle-defect diagnosis and monitoring
Year: 2014
Investigator: Gregory Enns, MD, director of the Biochemical Genetics Program and associate professor of pediatrics; Victor Miller, mechanical engineering PhD candidate; Mitchell Spearrin, mechanical engineering PhD candidate; Christopher Strand, mechanical engineering PhD candidate; Ron Hanson, PhD, professor of mechanical engineering.
![The Stanford Disease Detectives Series](/was/20140911222256im_/http://spectrum.stanford.edu/images/Barcoded_DNA.png)
The Stanford Disease Detectives Series
Monday, Feb. 2, 6:00pm to 7:15pm
Networking reception until 8:00pm
Li Ka Shing Center, Room LK130
291 Campus Drive, Stanford, CA 94305
Atul Butte, MD, PhD, chief of systems medicine, will host a lively discussion on DNA sequencing and the future of molecular diagnostics with entrepreneur Pratima Rao, co-founder and COO of Genia Technologies.
Sponsored by Spectrum, the Stanford Center for Clinical and Translational Research and Education, and its innovation accelerator, SPADA, the Stanford Predictives and Diagnostics Accelerator (SPADA).