Malai Sankarasubbu presented at ExL's AI Innovation Summit on Natural Language Understanding as used in pharma companies.

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Delivering Analytics Advantage
to the Global 2000
Natural Language Understanding
Malai Sankarasubbu

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About Saama
AI and machine augmented analytics company delivering
“Business Outcomes” for life sciences

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What Do We Do?
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∙ min 𝑐𝑙𝑖𝑛𝑖𝑐𝑎𝑙 𝑡𝑟𝑖𝑎𝑙𝑠

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HISTORY OF DRUG DEVELOPMENT
$30
Million
$3
Billion
Drug Development Costs
History
$300
Million
Clinical trial costs goes down exponentially over the next
decade with AI & Technology
Block chain
Patient Data

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Efficiency Savings

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Data Science in Pharma is Nothing New

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Linearly Separable Needs to be separated in 5D space
The Importance of AI – a Salt and Pepper Example…

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Perception Understanding Reasoning
Artificial Intelligence

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27 million articles
Pharma has a Slight Text Challenge…
270,435 research studies

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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?

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Too Many Variations

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Computers are usually really
good at understanding binary
language.
– but not human language.

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Convert Text to Numbers

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Adverse Drug Event (ADE) Extraction

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An Attentive Sequence Model for
Adverse Drug Event Extraction from
Biomedical Text

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Convolutional Neural Networks In
Classifying Cancer Through
DNAMethylation

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Differential Privacy

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Pancreatic Cancer – Inclusion Criteria

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Pancreatic Cancer – Search Result

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PHI Scrubber

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Entity Extraction and Patient Matching for EHR Data

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Data Tagger

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Peeking into the Blackbox

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Research

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UX CX
Impersonal Dashboard to Personalized Analytics

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“Smart Assistant” for Clinical Operations

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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.

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How do I build one?

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How do I build one?

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Intent Extractor
Understand what the user
means!
“What are the Protocols in
severe risk ? “
Intent: Portfolio Schedule Risk
Entity Extractor
Extract entities to make an
action!
“What are the Protocols in
severe risk ?”
Status: severe
You Need a Good NLU Engine!

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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!

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Where are you in the conversation?
What have you said before?
Conversation State

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NLU engine generalizes well with ~20 samples per Intent
Customized NLU Engine for Pharma

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Top-10 Contributors – All
1. Insufficient/low/poor enrollment
2. Lack of efficacy
3. Change in business focus (Sponsor)
4. Serious Adverse Events
(SAEs)/death/safety concerns
5. Investigational New Drug
withdrawn/discontinued
6. Protocol deviation
7. Terminated by regulatory agency
8. Funding support withdrawn
9. Administrative/ Technical reason/ Business
decision
10. Unavailable study personnel
Laggards
(20%)
Perfect
(10%)
Costly
(40%)
Ov
er
Ti
me
Help
Me
(20%)
Abandone
d
(10%)
On
Ti
me On
Budg
et
Over
Budg
et

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Thank You