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Microsoft External Research
Advancing multidisciplinary research worldwide by engaging and partnering with the Academic/Research community, focusing on:
•Breakthrough research and innovationBreakthrough research and innovation•Worldwide participationWorldwide participation•Community engagement—long term changeCommunity engagement—long term change•Broad dissemination and collaborationBroad dissemination and collaboration•InteroperabilityInteroperability
Health and Wellbeing
High-impact and socially relevant initiatives Initiative 1: Devices, Sensors and Mobility
– Cellphone as a platform for healthcare in 2009– Proof points for the value of new modes of interaction
with health data (e.g., contact lens interface)
Initiative 2: Genomics in Healthcare– Create tools for the bioinformatics and genomics
research community on a web accessible platform– Apply Microsoft research and tools to genomics in
areas ranging from genomic basis of disease , personalized medicine or simply aging.
Initiative 3: Modeling Living Systems– Long-term healthcare impact in
predictive/preventative medicine.
Supporting Programs – Faculty Summit, Supporting Programs – Faculty Summit, Ph.D. fellowships, New Faculty Awards, Ph.D. fellowships, New Faculty Awards,
Ecosystem engagementsEcosystem engagements
Supporting Programs – Faculty Summit, Supporting Programs – Faculty Summit, Ph.D. fellowships, New Faculty Awards, Ph.D. fellowships, New Faculty Awards,
Ecosystem engagementsEcosystem engagements
Collaboration Model
Explore IdeasExplore Ideas
Validate DirectionsValidate DirectionsExtend Internal ResearchExtend Internal Research
Accelerate ResearchAccelerate Research
7
HIV Vaccine Design
Better vaccine design through understanding HIV evolution
Bruce Walker & Zabrina Brumme Harvard, Mass GeneralPhilip GoulderOxfordRichard HarriganUniversity of British ColumbiaDavid Heckerman, Jonathan Carlson and
Carl Kadie; MSR
Goals•Use machine learning, HPC and visualization tools developed at Microsoft to build maps of within-individual evolution of the HIV virus.
Contact Lens Interface
Babak ParvizUniversity of Washington
Desney TanMicrosoft Research
• Using novel nanofabrication technology to embed circuitry in contact lenses:– RF power harvesting– LED display– Environmental sensors– Transmitter
Goal:• Exploration of new forms of user interfaces• Use case: notification of drop in blood glucose
levels for diabetics
Building continuoussensing, in-eye displays
2008 Cell Phone as a Platform for Healthcare RFP Award WinnersDistance Treatment and AdherenceSmartPhones to Promote Diabetes Self-Management: Robust Elderly in
Urban and Rural ChinaJiao Ma, Cynthia LeRouge, Joseph Flaherty, et al., Saint Louis University, USA
Virtual Speech Therapist for Stroke Survivors with Aphasia in Rural MalaysiaSri Kurniawan, Dominic Massaro, University of California, Santa Cruz, USA
ARCHANGEL: Cost-effective, Secure, Adaptable and Interoperable Framework for Learning and Monitoring EldersGeorge Polyzos, Elias Efstathiou, Athens University of Economics and Business, Greece
SmartTrack: A SmartPhone-based Distributed Drug Information SystemLakshminarayanan Subramanian, Mary Ann Hopkins, Mekbib Gemeda, Brian A. Levine, Barbara Rapchak, Eddie Donton New York University, USA
Improving Cell Phones for Medical Applications Energy: A Crucial Resource in Cell Phone as a Platform for Healthcare
Chris Gniady, John Hartman, University of Arizona, USA
Linking Cell Phones to Medical Devices and SensorsCellScope: Portable Low-cost Imaging for Disease Diagnosis
Daniel Fletcher, University of California, Berkeley, USAFetal Heart Rate and Activity Monitoring via Smart Phones
Alfred Tan, Martin Masek, Edith Cowan University, AustraliaCell Phone-Based Low Cost USB Ultrasound Probe
William Richard, Washington University in St. Louis, USACardioPro: A Mobile Platform for Continuous Real-Time Monitoring
and Automatic Detection of Cardiovascular DiseaseAllen Cheng, University of Pittsburgh, USA
Mobile Medical Clinical and Field Support SystemsEnabling Community Health Workers with Mobile Phones
Gaetano Borriello, Neal Lesh, Paul Yager, University of Washington, USA
Interactive Structured Multi-modal Clinical Guidelines on Cell PhonesM. Sriram Iyengar, University of Texas Health Science Center at Houston, USA
Application of SmartPhones in ‘Better Border Healthcare Program’ (BBHP)Jaranit Kaewkungwal, Mahidol University, Thailand
Cell Phone Applications for Clinical Diagnostic Theraputic and Public Health Use by Front Line Health Care WorkersJim Black, Rens Scheepers, Liz Sonenberg, The University of Melbourne, Australia
A Caribbean-wide Healthcare Management System Based on Cellular Phone TechnologyPermanand Mohan, The University of the West Indies, Trinidad & Tobago
Ultra Low Cost USB Ultrasound Probe
William Richard, David ZarWashington University St. Louis
Project Goals:• Reduce the cost of the ultrasound device to
increase availability• Enable ultrasound controls and images on a cell
phone or Fone+ for use in rural settingsCurrent Project Status:• Ultrasound in prototype stage—soon to be picked
up by a large manufacturer• Successful use with cell phones• Deployment study underway
Portable low-cost imaging for healthcare
CellScope: Portable Low-cost Imaging for Disease Diagnosis
Daniel FletcherUniversity of California, Berkeley
Project Goals:• Inexpensively enable field microscopy
analysis via a cell phone• MMS images for further analysis and/or
direct diagnosisCurrent Project Status:• The units are highly functional across a
variety of phones.
Portable low-cost imaging for healthcare
Smart Phones to Promote Chronic Illness Self-Management in Elderly Chinese
• Jiao Ma, Cynthia LaRouge, St. Louis University• Joseph Flaherty, VA Hospital
Project Goals:• Enable robust elderly to manage diabetes• Enable self-monitoring and adherence proscriptive homecare plans
in rural settings
Project Status:• Focus groups and pilot complete• Deployment plans underway in St. Louis• Sichuan Province for next deployment
Treatment adherence monitoring for rural diabetics
FY10 Health and Wellbeing PlansJust to name a few…• RFP for African Cell Phone Enabled Healthcare Projects • eHealth Symposium on Technology to Enable Healthcare in Asia • LATAM Healthcare Summit• mHealth Summit in Washington DC• Putting caBIG in the cloud for systems development
interoperability• Clinical trial support system (currently in use in UK—looking to
extend to developing nations through Gates Foundation collaboration)
• Microsoft Biological Framework – research support system for bioinformatics and genomics
Anecdotal Points on Funding Gaps• There is not enough start up funding
– Many calls require some level of “proof” to get funding– Start up funding is too short – doesn’t carry through the
deployment and evaluation stage (1 year for ramp up)• There is little no mid-range funding
– Evaluation and deployment are not “sexy”– No support for scaling up (not novel)
• Big funding is “too big” and goes to a select few individuals– Big schools get big money.– It is often “who you know” that determines if you receive funding
—smaller schools with innovating ideas get squeezed out.• “That’s out of scope for me!”
My Take on Some Needed Changes• Business Plans from PIs that show sustainability
– Out of scope for MSR, but not for other agencies• Co-funding with other agencies that specialize in these other
areas– E.g., AHRQ for evaluation
• Having a systematic, long-term plan that cuts across public and private funding
• Projects are One-offs that don’t take into consideration “scaling” (more to come on this…)
• mHealth Summit is a “pilot” to how this might work.
A Small Diversion on Scaling ProjectsWhat I’d like to see is a “scale score” for projects• Scale Up: The ability for a project to scale from 10 to 100 to 1000
to 1 million+ users. • Scale Out: How much is a project tied to a macrocosm? Can I take
the same concept and reuse it in Botswana? In Argentina, in Alaska?– Overcoming barriers: language, interface, customs
• Scale In: How does this work for individuals—does it cover just children? Adults? What about variations within groups?– Personalization, individualization
• Scale Across: How well does a system that is tested for one disease accommodate others? – Interoperability