SPADA (Predictives and Diagnostics)

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.

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Translating optical coherence tomography to diagnose Meniere’s disease

Year: 2015
Investigator: John Oghalai, MD, associate professor of otolaryngology

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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

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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

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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

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Creating a $150 autism diagnosis

Year: 2015
Investigator: Dennis Wall, MD, PhD, associate professor of pediatrics; Maude David, postdoctoral scholar in pediatric systems medicine

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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

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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.

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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.

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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.

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