The document discusses the digital transformation of health and wellness through data-intensive biomedical cyberinfrastructure. It describes several centers and projects at UCSD that are working on integrating genomics, sensors, and other data to develop personalized and population-level health systems using wireless technologies. The goal is to use these approaches for preventive medicine and measuring lifestyle factors that influence health outcomes.

1. Genomics, Cellular Networks, Preventive Medicine, and Society Guest Lecture to UCSD Medical and Pharmaceutical Students Genetics in Medicine Course Amphitheater of the Pharmaceutical Sciences Bldg December 11, 2009 Dr. Larry Smarr Director, California Institute for Telecommunications and Information Technology Harry E. Gruber Professor, Dept. of Computer Science and Engineering Jacobs School of Engineering, UCSD Follow me on Twitter: lsmarr

3. Leading Causes of Preventable Deaths in the United States in the year 2000 Mokdad AH, Marks JS, Stroup DF, Gerberding JL (March 2004). "Actual causes of death in the United States, 2000". JAMA 291 (10): 1238–45. doi:10.1001/jama.291.10.1238. PMID 15010446. www.csdp.org/research/1238.pdf. 1/3 of Deaths

6. Center for Wireless &Population Health Systems: Integrative View to Support Interventions Genetic & Biological Factors Interpersonal & Psychosocial Factors Environmental/Ecological Factors Medical & Exercise Sciences Behavioral & Social Sciences Environment, Population & Policy Sciences

7. Center for Wireless &Population Health Systems: Developing and Testing Engineering-Based Solutions Interpersonal & Psychosocial Factors NanoTech, Drug Delivery, Sensors, Body Area Networks (BANs) BAN-to-Mobile-to-Database, SMS/MMS Social networks Ubicomp, Location-Aware Services, Data Mining, Systems Sciences Genetic & Biological Factors Environmental/Ecological Factors

8. Center for Wireless &Population Health Systems: Mainly, It’s All About Sensors Psychological & Social sensors Biological sensors Diet & Physical Activity sensors Air quality (particulate, ozone, etc) Temperature, GPS, Sound, Video, Other devices & embedded sensors BP, Resp, HR, Blood (e.g. glucose, electrolytes, pharmacological, hormone), Transdermal, Implants Mood, Social network (peers/family) Attention, voice analysis Physical activity (PAEE, type), sedentary Posture/orientation, diet intake (photo/bar code) Wearable Environmental sensors Sensor data + Clinical & Personal Health Record Data + Ecological data on determinants of health + Analysis & comparison of parameters in near-real time (normative and ipsative) + Sufficient population-level data to comprehend trends, model them and predict health outcomes + Feedback in near real-time via SMS, audio, haptic or other cues for behavior or change in Rx device = True Preventive Medicine! Sensors embedded in the environment Geocoded data on safety, location of recreation, food, hazards, etc

10. The Impact on Personal Health from Nutrition, Exercise, Stress Management

11. Individual Health Requires Measurement of Your Body’s Performance

12. Measuring Key Molecules in the Blood Provides Longer Term Biofeedback Source: Ramesh Rao, Calit2

13. A Mobile Wireless System to Enhance Preventive Healthcare Source: Paul Blair, Calit2

15. NSF RESCUE Strongly Coupled with NIH WIISARD Grant W ireless I nternet I nformation S ystem for Medic a l R esponse in D isasters First Tier Mid Tier Wireless Networks Triage Command Center Reality Flythrough Mobile Video 802.11 pulse ox Calit2 is Working Closely with the First Responder Community

17. CitiSense - Seacoast Sci. 4oz 30 compounds CitiSense Team PI: Bill Griswold Ingolf Krueger Tajana Simunic Rosing Sanjoy Dasgupta Hovav Shacham Kevin Patrick C/A L S W F CitiSense contribute distribute sense “ display” discover retrieve EPA Intel MSP

18. Lifechips--Merging Two Major Industries: Microelectronic Chips & Life Sciences LifeChips: the merging of two major industries, the microelectronic chip industry with the life science industry LifeChips medical devices 65 UCI Faculty

20. Center for Algorithmic and Systems Biology@Calit2: Bringing World-Class Speakers to Conferences

23. Research In The Ideker Lab Validation of Transcriptional Interactions With Causal or Functional Links Network Based Study of Disease Network Assembly from Genome-Scale Measurements Network Evolutionary Comparison / Cross-Species Alignment to Identify Conserved Modules Projection of Molecular Profiles on Protein Networks to Reveal Active Modules Alignment of Physical and Genetic Networks Network-Based Rationale Drug Design Network-Based Disease Diagnosis / Prognosis Moving from Genome-wide Association Studies (GWAS) to Network-wide “Pathway” Association (PAS)

25. Source: Lee Hood, ISB

26. Use Biology to Drive Technology and Computation. Need to Create a Cross-disciplinary Culture Source: Lee Hood, ISB

27. Disease Arises from Perturbed Cellular Networks: Dynamics of a Prion Perturbed Network in Mice Source: Lee Hood, ISB

28. Increasing Abundance of Protein A for Prion-Infected Blood Samples Source: Lee Hood, ISB

30. Accelerator: The Perfect Storm-- Convergence of Engineering with Bio, Physics, & IT 2 mm HP MemorySpot Nanobio info technology 1000x Magnification MEMS 2 micron DNA-Conjugated Microbeads Human Adenovirus 400x Magnification NANO IBM Quantum Corral Iron Atoms on Copper 5 nanometers 400,000 x !

31. The Intersection of Solid State and Biological Information Systems Snail neuron grown on a CMOS chip with 128x128 Transistors. The electrical activity of the neuron is recorded by the chip. (Chip fabricated by Infineon Technologies) www.biochem.mpg.de/en/research/rd/fromherz/publications/03eve/index.html

32. A-D Research Foundation Nanotrope Separation Systems Technology ThermopeutiX

33. Nano-Structured Porous Silicon Applied to Cancer Treatment Michael J. Sailor Research Group Chemistry and Biochemistry Nanostructured “Mother Ships” for Delivery of Cancer Therapeutics Nanodevices for In-vivo Detection & Treatment of Cancerous Tumors

35. Conceptual Architecture to Physically Connect Campus Resources Using Fiber Optic Networks UCSD Storage OptIPortal Research Cluster Digital Collections Manager PetaScale Data Analysis Facility HPC System Cluster Condo UC Grid Pilot Research Instrument N x 10Gbps Source:Phil Papadopoulos, SDSC/Calit2 DNA Arrays, Mass Spec., Microscopes, Genome Sequencers

37. Calit2 Microbial Metagenomics Cluster- Next Generation Optically Linked Science Data Server 512 Processors ~5 Teraflops ~ 200 Terabytes Storage 1GbE and 10GbE Switched/ Routed Core ~200TB Sun X4500 Storage 10GbE Source: Phil Papadopoulos, SDSC, Calit2

38. CAMERA’s Global Microbial Metagenomics CyberCommunity Over 3200 Registered Users From Over 70 Countries http://camera.calit2.net

40. The Human Gut is a Microbial Environment Which is Being Metagenomically Sampled