report on cal-(it) 2 ucsd school of medicine research council october 15, 2002 dr. larry smarr...
TRANSCRIPT
Report on Cal-(IT)2
UCSD School of Medicine Research Council
October 15, 2002
Dr. Larry Smarr
Director, California Institute for Telecommunications and Information Technologies
Professor, Dept. of Computer Science and Engineering
Jacobs School of Engineering, UCSD
Systems BiologyIntegrating data and models
across scalesKnowledge and Data
Engineering Lab
Enabling querying,analysis, and creative exploration of large, integrated data sets
IntegratedInformation
An
alysis Sta
tist
ics
KnowledgeDiscovery
Biosystems InformaticsDevelop new informatics strategies to discover meaning of biological and biomedical data and processes
DeGeM: An Integrated Knowledge Environment
Molecular MedicineDeliver tools to enable personalized medicine
Wireless HealthCare Delivery
Create the Living Laboratoryfor Health Care Professional
Telescience &TelemedicineBuilding the Biomedical Grid
The Biomedical Informatics Research Network
BIRN Test-bedsBIRN Test-beds::Multiscale Mouse Models of Disease, Human Brain Morphometrics, and Multiscale Mouse Models of Disease, Human Brain Morphometrics, and
FIRST BIRN (FIRST BIRN (10 site project for fMRI’s of Schizophrenics)10 site project for fMRI’s of Schizophrenics)
FIRST BIRN: Functional Imaging Research in Schizophrenia Testbed
• Clinical Specific Aims– Is Frontal and Temporal Lobe Dysfunction the Cause of
Schizophrenia?– How can Treatment Reverse this Dysfunction?
• Technological Specific Aims– Integration of 4D Data from Multiple Sites - Acquired with
Different Non-Invasive Imaging Devices– Integration of Information Obtained with Different Brain
Activation Tasks
NSF Experimental Network Research Project The “OptIPuter”
• Driven by Large Neuroscience and Earth Science Data– NIH Biomedical Informatics Research Network – NSF EarthScope (UCSD SIO)
• Removing Bandwidth as a Constraint– Links Computing, Storage, Visualization and Networking– Software and Systems Integration Research Agenda
• NSF Large Information Technology Research Proposal– UCSD and UIC Lead Campuses– USC, UCI, SDSU, NW Partnering Campuses– Industrial Partners: IBM, Telcordia/SAIC, CENIC
• PI—Larry Smarr; Funded at $13.5M Over Five Years– Start Date October 1, 2002
www.calit2.net/news/2002/9-25-optiputer.html
Providing a 21st Century Internet Grid Infrastructure
Tightly Coupled Optically-Connected OptIPuter Core
Wireless Sensor Nets, Personal Communicators
Loosely Coupled Peer-to-Peer Computing & Storage
Routers
Routers
½ Mile
The OptIPuter Project is Allowing UCSD to Develop a Futuristic Optical Networking Fabric
SDSC
SIO
Medicine
Phase I, Fall 02
Physical Sciences
Arts
Engineeing
Preuss School
Sixth College
Phase II, Jan. 03
Cal-(IT)2
Phase III, Dec 04
Developing Training in New Biomedical Technologies
• Creating a Comprehensive, Campus Wide Training Program– Focus on Bioinformatics – UC Irvine Institute For Genomics And Bioinformatics – Awarded A $4.3 Million, Multiyear NIH Training Grant
• To Consolidate Current UCI Bioinformatics Training Programs– Department of Information & Computer Science (ICS), – the College of Medicine, – the School of Physical Sciences, – the School of Biological Sciences– the Institute for Genomics and Bioinformatics– 20 UCI Faculty Members
Current and Potential Markets for Remote Patient Monitoring
• Wellness– Fitness Monitoring– Obesity Epidemic
• Ambulatory Hospital Patients• Cardiac Out Patients• Elder Care
– Global Population of People Over 65, Will Increase 88% by 2025
• Clinical Trials– New Drug Discovery
• Emergency Response– Natural Disasters– Homeland Security
Exercise Was the First Wireless Monitoring Application
Research and Development Requiredfor Remote Patient Monitoring
• Systems Integration of Sensing, Computing, Data, Communication – Wireless Communications– Sensor Platform– Sensors– Data Systems– Monitoring Station Software
• Simultaneously With Work On:– Legal Issues– Privacy and Security– Patient Safety Liability– Reimbursement Regulations
BP
Blood Glucose
Heart Rate
Temp
Personal Medical AssistantPersonal Medical Assistant- Multi-Network Gateway - Processor:
-Sensor Data Analysis,-Monitoring, -Coding
-Communicates With Monitoring Station
MedicalMonitoring
Station-Event Analysis-Data Shaping-Control Data
Sensors-Sensor Data-Control Data -Local-area networking
Conceptual Framework for a Personal Medical Assistant
Source: Sujit Dey. UCSD ECE
Medical Monitoring Service
- Multiple Physicians
- Heterogeneous Appliances
- Multiple Networks/Conditions
- Patient Data & Reference Data From Monitoring Center
- Client Data Interpretation
- Physician Identification/Location
- Set-up Of End-End Connection Between Patient Sensor Network & Physician
Adaptive Data Collection
Image/Video/Bio-Sensors
Secure, reliable, private, preferential communication over a heterogeneous network
Event-triggered Data Filtering/Aggregation
Medical Monitoring
Center
Content/Data Shaping
Source: Sujit Dey. UCSD ECE
Adding Wireless Sensors to Systems-on-Chip Will Create Brilliant Sensors
Applications
Memory
Protocol Processors
ProcessorsProcessors DSP
EmbeddedSoftware
Sensors
Source: Sujit Dey, UCSD ECE
Radio
Critical New Role of Power Aware Systems
Internet
The Navy’s Mobile Integrated Diagnostic and Data Analysis System (MIDDAS)
Description:MIDDAS has three major components – Data Acquisition Glove (DAG), Patient Sensor Unit (PSU), and Medical Operations Monitor (MOM). The DAG is used to obtain vital signs during initial triage. The PSU stays with patient and continuously transmits vital sign data to the MOM where the data are stored and monitored.Status: Project is in second year of development. This year will focus on hardware and software improvements as well as testing and evaluation in mock battlefield environments.
Principal Investigator: Lawrence HermansenRequirement: The Casualty Care and Mgmt Transition Summary (MED 217 – ORD/MNS) sponsored by N93/USMC requires the development of non-invasive methods for forward casualty diagnosis and treatment.
Approach: Develop, test, and evaluate a Mobile Integrated Diagnosis and Data Analysis System (MIDDAS) for improved combat casualty care.
1. Developed a prototype MIDDAS demonstrator system
3. Refine overall system, include wireless and prepare for Transition
2. Improve hardware and software. Test and evaluate in mock battlefield environments
Schedule FY02 FY03FY01
Source: PI Lawrence Hermansen, NHRC, San DiegoSponsor: Office of Naval Research
MIDDAS Requirements Issues
• Fundamental Issue:– Enhanced Battlefield Trauma Management
• Derive Non-invasive Methods for Forward Casualty Diagnosis and Treatment
• Utilization of Commercial-Off-The-Shelf (COTS) Products with New Technologies
• Provide Rapid Triage of Multiple Patients• Continuous and Simultaneous Monitoring of Multiple
Patients• Users: Navy And Marine Corps Health Care Providers
Source: PI Lawrence Hermansen, NHRC, San DiegoSponsor: Office of Naval Research
MIDDAS Has Three Major Components
• Data Acquisition Glove (DAG) That Contains Sensors For Body Temperature, Blood Pressure, Electrocardiogram, Oxygen Saturation And Heart Rate– Used To Obtain Vital Signs During Initial Triage
• Patient Sensor Unit (PSU), Continuously Monitors Heart Rate, Heart Rate Variability, Blood Pressure, Temperature, Ecg, Respiration Rate, sPO2 (Oxygen Saturation) Rate, And CO2 (End-Tidal) Levels– The PSU Stays With Patient And Continuously
Transmits Vital Sign Data To The MOM• Medical Operations Monitor (MOM) Located At Field
Hospital Stores Data And Allows For Telecommunication– The Data Are Stored And Monitored
Source: PI Lawrence Hermansen, NHRC, San DiegoSponsor: Office of Naval Research
Data Acquisition Glove (DAG)
Sensors:•Heart Rate•Oxygen Saturation•Body Temperature•Electrocardiogram•Blood Pressure
The Data Acquisition Glove (DAG) is Used by the Health Care Provider
Source: PI Lawrence Hermansen, NHRC, San DiegoSponsor: Office of Naval Research
ECG
HR & SpO2NIBP
Temp.
To Sensor To Sensor ProcessingProcessing
Quick Quick DisconnectDisconnect
ECG
HR & SpO2NIBP
Temp.
To Sensor To Sensor ProcessingProcessing
Quick Quick DisconnectDisconnect
MIDDAS Medical Operations Monitor (MOM) Located At Field Hospital Displays Information
Source: PI Lawrence Hermansen, NHRC, San DiegoSponsor: Office of Naval Research
Karl Van OrdenCommander647-90-4444Field HospitalFair
Karl Van OrdenCommander647-90-4444Field HospitalFair
Clinical Trials Market Background
• Prescription Drug Expenditures - $125B 2001• R&D $50B – 2001e - $40B/$10B Pharma/Bio
– Pre-Clinical Studies - $10B– Clinical Studies - $20B
– $3.5B - Patient Monitoring
• Number of Compounds in Clinical Studies - >3500• Avg. # of Studies per New Molecular Entity (NME) – 68• Avg. # of Patients used in All Studies per NME - 4200
• Legg Mason – Feb. 2001 PresentationLegg Mason – Feb. 2001 Presentation
• Parexel Pharmaceutical R&D Statistical Sourcebook 2001Parexel Pharmaceutical R&D Statistical Sourcebook 2001
Source: Darrel Drinan. CEO PhiloMetron
PhiloMetronConfidential
Costs and Duration Estimates Per New Molecular Entity
Basic Research DiscoveryPreclinical Development
Clinical Development
Phase 1 Phase 2 Phase 3
FDA filing/approval & launch preparation
Discovery Discovery targettarget
LeadLeadcandidatecandidate
INDINDNDANDAfiledfiled
NDANDAapprovalapproval
4%4% 15%15% 10%10% 15%15% 22%22% 31%31% 3%3%
•McKinsey & Co., Lehman Brothers, PhRMA, FDA.
CostCost (% of total) (% of total)
2.52.5 33 11 1.51.5 22 2.52.5 1.51.5Duration Duration
(Yrs)(Yrs)
PhiloMetron Market FocusPhiloMetron Market Focus(78% of Total Expenditures)(78% of Total Expenditures) PhiloMetron
Confidential
Source: Darrel Drinan. CEO PhiloMetron
Wireless Clinical Trial In-Vivo Drug Monitoring
• Accelerates Drug Development Time
• Basic Physiological Monitoring
• Detects ADME - Toxicity Events – “Fail Fast”
• Remote Data Analysis for Pharmacokinetics
Source: Darrel Drinan. CEO PhiloMetron
PhiloMetronConfidential
Time
Time
• Current - Single point manual measurements
• PhiloMetron System (continuous monitoring) Statistically Valid
Sample
Time Time and and Cost SavingsCost Savings
Advantages of Continuous Monitoring Measurement Methodology
T1T1 T2T2 T3T3 T4T4 T5T5 T6T6 T7T7Measurement PointsMeasurement PointsMeasurement PointsMeasurement Points
Source: Darrel Drinan. CEO PhiloMetron
PhiloMetronConfidential
Non-Invasive Platform - Smart Band-Aid®Can Also Link to Invasive Sensors
SkinSkin
Sensors:Sensors:- Physical- Physical- Chemical- Chemical- Biological- Biological
BatteryBattery
Transdermal Patch Transdermal Patch “Smart Band-Aid“Smart Band-Aid®®””
• Patent PendingPatent Pending
AntennaAntenna
CPU/Comm ChipCPU/Comm Chip
Source: PhiloMetron