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3DS.COM©DassaultSystèmes|ConfidentialInformation|10/21/2016|ref.:3DS_Document_2014
The Laboratory of things
Gene Tetreault
Sr. Director, Product and Portfolio Management
2
3DS.COM/BIOVIA©DassaultSystèmes|ConfidentialInformation|10/21/2016|ref.:3DS_Document_2014
3
3DS.COM/BIOVIA©DassaultSystèmes|ConfidentialInformation|10/21/2016|ref.:3DS_Document_2014
Why is this interesting in the lab?
 It’s really cool
 Status
 Tracking
Mobile devices
Equipment
Materials
People
 Enabling Analytics
 It’s really cool
4
3DS.COM©DassaultSystèmes|ConfidentialInformation|10/21/2016|ref.:3DS_Document_2014
Laboratory Challenges
Sharing Lab
Knowledge
Global
Operations &
Products
Decreased
R&D
Productivity
Inefficient
Processes
Increasing
Compliance
Pressure
Budget
Cuts
Tech
Transfer
1 2 3 4 5 6 7
5
3DS.COM©DassaultSystèmes|ConfidentialInformation|10/21/2016|ref.:3DS_Document_2014
Barriers to Improved Laboratory Operations
Lack of
Integration
Inefficient error-prone
workflows
Difficult to configure
and maintain
Impedes data transfer,
knowledge sharing and
re-use
Past work not
accessible/sharable
Inability to visualize or
analyze
Multiple Overlapping
Systems
Multitude of
Data Formats
Data Silos
1 2 3 4 5
High cost of ownership
Poor user experience
Impedes collaboration and
leveraging past experience
High compliance efforts
Lack of
Standardization
6
3DS.COM©DassaultSystèmes|ConfidentialInformation|10/21/2016|ref.:3DS_Document_2014
Challenges with laboratory equipment
 What equipment assets
do I have, what is the
status of calibration &
maintenance, how to
collect data
 Difficult to connect, no
data standard
 Manual curation &
transcription of data
7
3DS.COM©DassaultSystèmes|ConfidentialInformation|10/21/2016|ref.:3DS_Document_2014
Managing laboratory equipment
8
3DS.COM©DassaultSystèmes|ConfidentialInformation|10/21/2016|ref.:3DS_Document_2014
Industry Standards
9
3DS.COM©DassaultSystèmes|ConfidentialInformation|10/21/2016|ref.:3DS_Document_2014
Mobile Method Execution
10
3DS.COM©DassaultSystèmes|ConfidentialInformation|10/21/2016|ref.:3DS_Document_2014
Adjacent Technologies
Identification
Biometrics
11
3DS.COM©DassaultSystèmes|ConfidentialInformation|10/21/2016|ref.:3DS_Document_2014
Adjacent Technologies
Augmented
Display
Motion
Control
12
3DS.COM©DassaultSystèmes|ConfidentialInformation|10/21/2016|ref.:3DS_Document_2014
Capture more data
 Location tracking
 Data logging (Temp, Humidity, motion)
13
3DS.COM©DassaultSystèmes|ConfidentialInformation|10/21/2016|ref.:3DS_Document_2014
Heads up Display
Safety Glasses
Wearable Display
Scientist’s Experience
with IoT
Biometric ID Bracelet
14
3DS.COM©DassaultSystèmes|ConfidentialInformation|10/21/2016|ref.:3DS_Document_2014
Lab Bench of the Future with IoT
 Biometrically knows who you are
 Auto registers material and
equipment that you are using
 Integrated virtual display
 Hands free interaction with
integrated instrument software
 Historical data at your fingertips
 Interactive collaborative experience,
email, text, chat
 Send and receive video feeds with
colleagues
15
3DS.COM©DassaultSystèmes|ConfidentialInformation|10/21/2016|ref.:3DS_Document_2014
Google Glass in the Lab
 Identify equipment
 Visualize status
 Read procedure
 Take action
16
3DS.COM©DassaultSystèmes|ConfidentialInformation|10/21/2016|ref.:3DS_Document_2014
Social Laboratory Experience
 Social Collaboration
Share experiment and other
data for review, comments and
approval
Share video feed from Google
Glass style heads up display to
show current conditions
Search data for past
experiences and avoid
repetitions
Get information about authors
and context
17
3DS.COM©DassaultSystèmes|ConfidentialInformation|10/21/2016|ref.:3DS_Document_2014

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Pistoia Alliance USA Conference 2016

Editor's Notes

  1. And there are more challenges realted to the laboratory space: Paper-based lab systems and/or disconnected systems are still predominant and make sharing and leveraging existing knowledge difficult Working on a global scale with products developed, manufactured and tested all over the world adds extra complexity to collaboration and exchange of data and methods Tech Transfer between different domains is key for real digital transformation but it is hindered by a lack of integration and difficult collaboration Increased competition from generics as well as the significant discounts of 27 to 49% on the list price of drugs demanded by the governments are driving margins down and require budget cuts in all areas. This means that although laboratory operations are expected to deliver more results quicker with less resources they need to reduce costs. Only 2 of every 10 marketed drugs produce revenues that meet or exceed development costs. This demands streamlining operations related to the R&D processes which includes the lab. Compliance pressure from all agencies like the FDA are increasing which requires more non-value added steps also in the laboratory not only in the execution but also the documentation of the tests performed. Data integrity must be proven. The lab very often is considered as a bottleneck. Research scientists are waiting for results on product characteristsics, development needs the results on methods and specifications, manufacturing is waiting for the testing results of raw mterails to be used int he prodcution process as well as the certificate of analysis for final product release. But processes are often manual, disconnected and require time consuming and costly review steps.
  2. So what are the sources of of these challenges in the laboratory space? A lack of integration will always lead to manual steps in the processes which lead to a high likelihood of errors. Many different applications are also difficult to configure and cumbersome to maintain. When processes, methods and data are not standardized collaboration becomes more difficult and past knowledge impossible to access. A lack of standardization always means high efforts for compliance. Due to the heterogenity of instruments and methods in the lab, analysts have to deal with a plethora of different data formats that cannot easily be shared and leveraged. A challenge is also the accessibility of the data. When data is locked away in various systems and applications that are unable to communicate with each other, access to those data becomes impossible. And scientists cannot re-use the data for further analysis, learning from past experiences and for knowledge-driven decision making. With many different systems and applications in place the likelihood of overlapping capabilities is high. This is unnecessary and adds to high costs. It will also create frustration for the users that cannot work in a straight forward way.
  3. The next generation is incrementally better but not game changing We can use tablets to enforce the correct procedure is followed, Instruments can be connected to eliminate transcription and enforce compliance Barcode scanners can be used to record materials and there associated expiry information This Enforced compliance is good from a compliance standpoint but this requires conscious actions that take time away from the science.
  4. The technology for the physical devices is progressing rapidly enabling futuristic lab capabilities. Identification has progress from handwritten labels, to 1D barcodes to QR codes to RFID all the way to Near field communication Biometric ID has progressed from fingerprints to retinal scanning, to Biorhythmic Bluetooth bracelets
  5. Additional “gadgets” provide the ability to virtually merge physical and metadata seamlessly on an augmented display. Over the years, augmented displays have progressed from science fiction to Google Glass type devices. Enabling the Lab of the future – or should I say the Labrador of the future? Motion control started in gaming with the gyroscopic WII controller, progressing to leap motion all the way to the Kinects style sensor with servo tracking and video sensing of the motion.
  6. “method under glass” with integrated direct data capture to database
  7. The Biometric ID bracelet senses the heartbeat