Ce diaporama a bien été signalé.
Le téléchargement de votre SlideShare est en cours. ×

Natural Language Understanding at AI and Machine Learning in Clinical Trials Summit 2018

Publicité
Publicité
Publicité
Publicité
Publicité
Publicité
Publicité
Publicité
Publicité
Publicité
Publicité
Publicité

Consultez-les par la suite

1 sur 34 Publicité

Natural Language Understanding at AI and Machine Learning in Clinical Trials Summit 2018

Karim Damji, SVP of Products and Marketing, and Malaikannan Sankarasubbu, VP of AI Research at Saama Technologies spoke at the AI and Machine Learning in Clinical Trials Summit 2018 on Accelerating Clinical Trials using Natural Language Understanding.

Pharma has a big text problem. Lots of useful information buried in unstructured data formats that is difficult to use. Natural Language Understanding will help to turn what was once unusable data into meaningful insights that can be applied to the clinical trial development continuum. NLU engines also open up the possibility for users to have a more interactive relationship with their vast data stores using speech or chat messaging in a conversational experience.

Karim Damji, SVP of Products and Marketing, and Malaikannan Sankarasubbu, VP of AI Research at Saama Technologies spoke at the AI and Machine Learning in Clinical Trials Summit 2018 on Accelerating Clinical Trials using Natural Language Understanding.

Pharma has a big text problem. Lots of useful information buried in unstructured data formats that is difficult to use. Natural Language Understanding will help to turn what was once unusable data into meaningful insights that can be applied to the clinical trial development continuum. NLU engines also open up the possibility for users to have a more interactive relationship with their vast data stores using speech or chat messaging in a conversational experience.

Publicité
Publicité

Plus De Contenu Connexe

Diaporamas pour vous (20)

Similaire à Natural Language Understanding at AI and Machine Learning in Clinical Trials Summit 2018 (20)

Publicité

Plus par Saama (15)

Plus récents (20)

Publicité

Natural Language Understanding at AI and Machine Learning in Clinical Trials Summit 2018

  1. 1. Copyright © 2018, Saama Technologies Delivering Analytics Advantage to the Global 2000 Natural Language Understanding Malai Sankarasubbu Karim Damji
  2. 2. 2 Copyright © 2018, Saama Technologies About Saama AI and machine augmented analytics company delivering “Business Outcomes” for life sciences
  3. 3. 3 Copyright © 2018, Saama Technologies What Do We Do? 𝑒 − 𝑑𝑣 𝑑𝑡 ∙ min 𝑐𝑙𝑖𝑛𝑖𝑐𝑎𝑙 𝑡𝑟𝑖𝑎𝑙𝑠
  4. 4. 4 Copyright © 2018, Saama Technologies Solve the Equation, Win a Drone! 𝑒 − 𝑑𝑣 𝑑𝑡 ∙ min 𝑐𝑙𝑖𝑛𝑖𝑐𝑎𝑙 𝑡𝑟𝑖𝑎𝑙𝑠
  5. 5. 5 Copyright © 2018, Saama Technologies
  6. 6. 6 Copyright © 2018, Saama Technologies Data Science in Pharma is Nothing New
  7. 7. 7 Copyright © 2018, Saama Technologies Linearly Separable Needs to be separated in 5D space The Importance of AI – a Salt and Pepper Example…
  8. 8. 8 Copyright © 2018, Saama Technologies Perception Understanding Reasoning Artificial Intelligence
  9. 9. 9 Copyright © 2018, Saama Technologies 27 million articles Pharma has a Slight Text Challenge… 270,435 research studies
  10. 10. 10 Copyright © 2018, Saama Technologies Structured Data from Unstructured Text Tom Smith, who has been living in 123 Piscataway, Durham, NC, has been suffering from migraines for the past 3 years. Mr. Smith was admitted to a hospital previously on 08/01/2017 since he broke his hand. He can be reached at his office number 5555557777. He has been taking Vioxx for an extended period of time. name address condition condition dt_time dt_time phone dt_timedrug Seems simple enough?
  11. 11. 11 Copyright © 2018, Saama Technologies Too Many Variations
  12. 12. 12 Copyright © 2018, Saama Technologies Computers are usually really good at understanding binary language. – but not human language.
  13. 13. 13 Copyright © 2018, Saama Technologies Adverse Drug Event (ADE) Eextraction
  14. 14. 14 Copyright © 2018, Saama Technologies An Attentive Sequence Model for Adverse Drug Event Extraction from Biomedical Text
  15. 15. 15 Copyright © 2018, Saama Technologies Life Science Analytics Cloud – Digital Transformation through Orchestration Clinical Development Optimizer Trial Planning Optimizer Journey of a Drug Via Clinical Trial Discovery Phase 1 Phase 2 Phase 3 Approval Post- Approval Planning Start-up Study Conduct Cohort Builder Delivers Clinical Data Analytics and Management as a Service (CDaaS) and the implementation of Operational Data Repositories (ODR) and Patient Data Repositories (PDR) Data Manager
  16. 16. 16 Copyright © 2018, Saama Technologies Pancreatic Cancer – Inclusion Criteria
  17. 17. 17 Copyright © 2018, Saama Technologies Pancreatic Cancer – Search Result
  18. 18. 18 Copyright © 2018, Saama Technologies Entity Extraction and Patient Matching for EHR Data
  19. 19. 19 Copyright © 2018, Saama Technologies Life Science Analytics Cloud – Digital Transformation through Orchestration Clinical Development Optimizer Trial Planning Optimizer Journey of a Drug Via Clinical Trial Discovery Phase 1 Phase 2 Phase 3 Approval Post- Approval Planning Start-up Study Conduct Cohort Builder Delivers Clinical Data Analytics and Management as a Service (CDaaS) and the implementation of Operational Data Repositories (ODR) and Patient Data Repositories (PDR) Data Manager
  20. 20. 20 Copyright © 2018, Saama Technologies
  21. 21. 21 Copyright © 2018, Saama Technologies UX CX Impersonal Dashboard to Personalized Analytics
  22. 22. 22 Copyright © 2018, Saama Technologies “Smart Assistant” for Clinical Operations
  23. 23. 23 Copyright © 2018, Saama Technologies
  24. 24. 24 Copyright © 2018, Saama Technologies
  25. 25. 25 Copyright © 2018, Saama Technologies Initiate a conversation over multiple natural channels of engagement Identify Intent and extract entities using AI Generate a response from the knowledge base and system APIs Build a natural response/dialog and continue the interaction INTERACT INTERPRET INTEGRATEENGAGE What is Smart Assistant with AI? A software agent that can perform tasks or services for an individual using text, voice and other methods of interaction.
  26. 26. 26 Copyright © 2018, Saama Technologies How do I build one?
  27. 27. 27 Copyright © 2018, Saama Technologies
  28. 28. 28 Copyright © 2018, Saama Technologies How do I build one?
  29. 29. 29 Copyright © 2018, Saama Technologies Intent Extractor Understand what the user means! “What was Saama’s revenue in 2017 ?” Intent: revenue Entity Extractor Extract entities to make an action! “What was Saama’s revenue in 2017 ?” Company: Saama Year: 2017 You Need a Good NLU Engine!
  30. 30. 30 Copyright © 2018, Saama Technologies One question one answer system is not good CX. They should have ability to hold conversation. Users respond with please and thank you after 6 responses You Need a Good NLU Engine!
  31. 31. 31 Copyright © 2018, Saama Technologies Where are you in the conversation? What have you said before? Conversation State
  32. 32. 32 Copyright © 2018, Saama Technologies NLU engine generalizes well with ~20 samples per Intent Customized NLU Engine for Pharma
  33. 33. 33 Copyright © 2018, Saama Technologies “The best way to predict the future is to create it.” – Peter Drucker
  34. 34. 34 Copyright © 2018, Saama Technologies 34 Thank You

×