"IN A REALM OF SWIRLING, INCOMPREHENSIBLE BIG BIOLOGICAL DATA—WHICH IS, PERHAPS, ANOTHER WAY OF THINKING ABOUT THE HUMAN BODY—THE OPPORTUNITY TO USE COMPUTER LEARNING TO BETTER ANTICIPATE WHICH DRUGS WILL WORK WELL (AND NOT SO WELL) IN ANY ONE PERSON IS ONE WE SHOULDN’T PASS UP." (CLIFTON LEAF - FORTUNE.COM)
PanAgora Pharma and Novartis collaborate for the 3rd Annual AI & Machine Learning in Clinical Trials Forum – a partnership that sets the bar for best-in-class content and networking for pharma clinical trials executives. Accelerate clinical research in the unique, engaging and pre-competitive setting of Novartis’ world class research labs.
Join 20+ speakers, 125+ senior-level pharma, clinical trials, machine learning & artificial intelligence executives this April at Novartis in Cambridge to learn, network, develop and improve the way pharma clinical trials can utilize AI & ML techniques to streamline patient data analytics and accelerate getting therapies to patients.
Join 20+ speakers, 125+ senior-level pharma, clinical trials, machine learning & artificial intelligence executives this April at Novartis in Cambridge to learn, network, develop and improve the way pharma clinical trials can utilize AI & ML techniques to streamline patient data analytics and accelerate getting therapies to patients.
Location
Novartis Institutes for BioMedical Research
250 Massachusetts Avenue
Cambridge, MA 02139
250 Massachusetts Avenue
Cambridge, MA 02139
Date & Time
April 29, 2020
8:00am - 6:30pm
8:00am - 6:30pm
CORE THEMES:
1. AI for Drug Discovery
2. AI for Imaging and Text
3. AI for Disease Progression using RWD
4. AI for Digital Monitoring of Patients in Trials
5. AI for Treatment Response Measurement
1. AI for Drug Discovery
2. AI for Imaging and Text
3. AI for Disease Progression using RWD
4. AI for Digital Monitoring of Patients in Trials
5. AI for Treatment Response Measurement
Conference Agenda
8:00 AM
Registration, Coffee and Conversation
Conference registration open with continental breakfast and coffee served
9:00 AM
Opening Remarks from Conference Chairs
Balaji Goparaju, Data Scientist, Quantitative Sciences & Innovation, Novartis Institutes for BioMedical Research
Jason Laramie, VP, Global Head Translational Medicine Data Science, Novartis Institutes for BioMedical Research
09:10 AM
Welcome Address from Novartis
Shahram Ebadollahi, Global Head, Data Science & AI, Novartis
09:20 AM
KEYNOTE PANEL: AI & ML to Support Clinical Trials – Where do we begin?
The internet of things, mHealth, wearable and sensor-enabled devices present an unprecedented opportunity for accelerated data collection. What does it mean for life sciences – are we prepared to handle the influx of data, and create valuable visibility to accelerate trials? Where should we start? What are the best current applications?
Shahram Ebadollahi, Global Head, Data Science & AI, Novartis
Joseph Lehar, J-Clinic for Machine Learning in Health, Massachusetts Institute of Technology (MIT)
Peter Bergethon, Head, Quantitative Medicine and Clinical Technologies, Biogen
Lucas Glass, Global Head, Analytics Center of Excellence, IQVIA
Moderator: Jason Laramie, Novartis Institutes for BioMedical Research (NIBR)
Shahram Ebadollahi, Global Head, Data Science & AI, Novartis
Joseph Lehar, J-Clinic for Machine Learning in Health, Massachusetts Institute of Technology (MIT)
Peter Bergethon, Head, Quantitative Medicine and Clinical Technologies, Biogen
Lucas Glass, Global Head, Analytics Center of Excellence, IQVIA
Moderator: Jason Laramie, Novartis Institutes for BioMedical Research (NIBR)
10:00 AM
NOVARTIS CASE STUDY: Graphical Modeling of Clinical Trials for Target Discovery, Combination Opportunities, and Simulation
Michael Beste, Director, Quantitative Sciences and Innovation, NIBR
10:20 AM
Computational Phenotyping and Medical Embedding from Patient Records and Biomedical Data
Cao (Danica) Xiao, Director, Machine Learning, Analytics Center of Excellence, IQVIA
10:40 AM
NETWORKING COFFEE BREAK
Located in Foyer and Exhibition Area – Sponsored by: Medable
11:00 aM
SUNOVION CASE STUDY: Using a Deep Language Model to Identify Clinical Trials with Similar Patient Populations to Streamline Site Selection: A Collaboration with ClinOps
Sam Tomioka, Director, Clinical Data Programming, Sunovion Pharmaceuticals
11:20 aM
All the Insight at a Fraction of the Time and Effort: Using Deep Learning to Generate a Wearable Sensor-based Proxy for VO2max
Chris Economos, Chief Commercial Officer, PhysIQ
Matt Pipke, CTO, PhysIQ
11:40 aM
BIOGEN CASE STUDY TBA
Speaker TBA, Biogen
12:00 PM
PRESENTATION TBA
12:20 PM
NETWORKING LUNCHEON
Located in Foyer and Exhibition Area – Sponsors: Medable, PhysIQ
01:30 PM
PANEL DISCUSSION: Early Discovery Optimization with Digital
Led by Bryan Hansen, Assoc. Principal Scientist, Global Digital Analytics & Technologies, Merck
1:35 PM
NEKTAR CASE STUDY: Monitoring Drug-Related Adverse Events with Longitudinally Collected Biomarkers
Adarsh Joshi, Associate Director, Biostatistics, Nektar Therapeutics
1:55 PM
Presentation TBA
2:10 PM
PANEL DISCUSSION: Best Practices for Collecting Longitudinal Data Sets with Digital Health Tools – Preparing for AI & Machine Learning
Bryan Hansen, Associate Principal Scientist, Merck
Jeff Beeler, VP of Product Strategy, Medable
Adarsh Joshi, Associate Director, Biostatistics, Nektar Therapeutics
Issac Galatzer-Levy, VP of Computational Neuroscience, AiCure
Moderator: Shwen Gwee, Co-Founder, BIOME, Novartis
2:40 PM
AI and Machine Learning for Digital Images
3:00 PM
NETWORKING COFFEE AND REFRESHMENT BREAK
Located in Foyer and Exhibition Area – Sponsored by: IQVIA
3:30 PM
CASE STUDY: Particle Classification of Small Molecules using AI and Machine Learning
Speaker TBA, Merck Research Laboratories
3:50 PM
NOVARTIS CASE STUDY: AI for Digital Monitoring of Patients in Trials
Balaji Goparaju, Data Scientist, Quantitative Sciences & Innovation, Novartis Institutes for BioMedical Research
4:10 PM
Data Driven and Digitally-Enabled Trials
Deanna Lennon, Director of Business Development, Medable
4:30 PM
AI and Machine Learning in Cheminformatics
Meir Glick, Director, Chemistry, Merck
5:00 - 6:30 PM
NETWORKING DRINKS RECEPTION
Sponsored by: Medable and IQVIA
Speakers and Advisors
Shahram Ebadollahi
Global Head, Data Science & AI
Global Head, Data Science & AI
Novartis
Balaji Goparaju
Data Scientist, Innovative Digital Endpoints Analytics
Data Scientist, Innovative Digital Endpoints Analytics
NOVARTIS
Jason Laramie
VP, Global Head Translational Medicine Data Science
VP, Global Head Translational Medicine Data Science
NOVARTIS
Sam Tomioka
Director, Data Services and Technology, Data Science
Director, Data Services and Technology, Data Science
Sunovion
Jyoti Shah
Associate Director, Data Development
Associate Director, Data Development
Merck
Cao (Danica) Xiao
Director, Machine Learning Analytics COE
Director, Machine Learning Analytics COE
iqvia
Joseph Lehar
J-Clinic for Machine Learning in Health
J-Clinic for Machine Learning in Health
MIT
Michael Beste
Director, Quantitative Sciences & Innovation
Director, Quantitative Sciences & Innovation
Novartis
Michelle Longmire
CEO
CEO
Medable
Jena Daniels
Director of Research
Director of Research
Medable
Lucas Glass
Global Head, Analytics COE
Global Head, Analytics COE
IQVIA
Bryan Hansen
Assoc. Prin. Scientist, Digital Analytics & Technologies
Assoc. Prin. Scientist, Digital Analytics & Technologies
Merck
Interested in Sponsorship & Exhibition Opportunities?
2019 Event Highlight Video
Location
Novartis Institutes for BioMedical Research
250 Massachusetts Avenue
Cambridge, MA 02139
250 Massachusetts Avenue
Cambridge, MA 02139
PanAgora Pharma is excited to announce that AI & Machine Learning in Clinical Trials will be hosted on campus at the Novartis Institutes for BioMedical Research in Cambridge, MA on April 29, 2020.
![Novartis Auditorium]()
250 Massachusetts Avenue
(entrance is between 220 Massachusetts Ave and 250 Massachusetts Ave)
Cambridge, MA 02139
United States
STRICT REGISTRATION POLICY
Attendance: Due to the conference room space and campus security, registrations will close on April 27th.
Any registrations received after that date may not be guaranteed.
Once you have registered, you’ll receive a registration receipt to present to security. Signage and Novartis security will direct you to the conference when you arrive.
250 Massachusetts Avenue
(entrance is between 220 Massachusetts Ave and 250 Massachusetts Ave)
Cambridge, MA 02139
United States
STRICT REGISTRATION POLICY
Attendance: Due to the conference room space and campus security, registrations will close on April 27th.
Any registrations received after that date may not be guaranteed.
Once you have registered, you’ll receive a registration receipt to present to security. Signage and Novartis security will direct you to the conference when you arrive.
Join us at the 3rd Annual AI & Machine Learning in Clinical Trials Forum
The Premiere AI & Machine Learning Event focused on Clinical Trials
Contact Us
Question about the conference?
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