This presentation will show the introduction of AI and its possible implementation in Pharmaceutical Industry such as drug discovery, personalized medicine, molecular target prediction, site selection, patient recruitment, process automation, process optimization and more.
2. The Agenda
➢ The Data Trend
➢ Introduction of Artificial
Intelligence (AI)
➢ AI implementation
➢ Future of AI
➢ Questions and Discussion
3. Q1 : World’s Largest Transportation Company?
•Available in 83 countries and
over 674 cities worldwide
•> 77% of US ride-hailing market
•Total number of rides by 2016 – 2
billion
•Number of Uber drivers
worldwide – 1.5 million
•Uber values: $3.9 b in 2013 to
$68 billion in 2017
4. • Inc’s 2014 Company of the Year
• Serving 3 million listings in 65,000 cities and 200
countries.
• Airbnb is valued at $30 billion.
Q2: World’s largest accommodation
provider?
18. Other AI applications
• Smart Cars
• Google self-driving cars
• Telsa’s autopilot
• Purchase Prediction
• Fraud Detection
• Security Surveillance
19. What is
Machine
Learning?
An application of
artificial intelligence
(AI) that provides
systems the ability to
automatically learn
and improve from
experience without
being explicitly
programmed.
26. Artificial Neural Network (ANN)
• Most powerful ML
algorithm
• Game Changer
• Works very similar to
human brain – Neural
Network
• Types – DNN, CNN, RNN
• Architecture
• Artificial Neurons
• Input Layers
• Hidden Layers
• Output Layers
27. Human Neural Network vs Artificial
Neural Network (ANN)
➢ Human
Neurons :
Neural
Network – 100
billions
➢ Artificial
Neurons :
Artificial Neural
Networks
28. So, why is it a big deal?
• We know more than we can tell. We
can’t explain exactly how we are doing
a lot of things. Now, using ML, we can.
Ex. Face-recognition
• ML systems are often great learners –
superhuman performance.
Ex. Go, Jeopardy
29. Why is AI(ML) so popular now?
• Cost effective
• Automate a lot of works
• Can replace human labors
• “Pretty much anything that a normal person can do in
<1 sec, we can now automate with AI” Andrew Ng
• Accurate
• Better than humans
• Can solve a lot of complex business problems
30. Healthcare AI market
• US - 320 million in 2016
• Europe – 270 million in 2016
• 40% annual rate
• 10 billion in 2024
• AI Start up driven growth
31. AI will be the primary drug
discovery tool by 2027
32. AI application in Pharma R&D
• Drug discovery
• Drug candidate selection
• Clinical system optimization
• Medical image recognition
• Medical diagnosis
• Optimum site selection / recruitment
• Data anomality
33. AI application in Pharma R&D
• Molecular target prediction
• Protein structures to predict drug
interactions and drug bioactivity
• Treatment of patients
• Recommendation
• Prediction treatment outcomes
• Guide of new therapy developments