Cambridge Healthtech Institute’s 9th Annual
Clinical Technology and Innovation
Disruptive Technologies for Data and Trial Management
February 20-21, 2020
Digital technology, mobile solutions, novel data collection modalities, and integrative systems are becoming game-changing features of modern clinical trials. However, the adoption of novel technology solutions to improve overall outcomes and garner operational
efficiencies has been slower than expected. CHI's 9th Annual Clinical Technology and Innovation conference will be featuring a broad array of topics, such as digitalization of clinical trials, machine learning, implementation and adoption strategies,
Arrive early and attend Part 1 (Wed - Thurs): Sensors, Wearables and Digital Biomarkers in Clinical Trials
Day 1 | Day 2 | Download Brochure
Thursday, February 20
11:30 am Registration Open
12:30 pm BRIDGING LUNCHEON PRESENTATION: Navigating the Inclusion of Wearables in Clinical Trials: Considerations with Different Patient Populations
Christina Fawcett, Senior Director, Operations, PRA Health Sciences
What types of studies do wearables seamlessly integrate and when do the complications outweigh the benefits? Are all types of patients ready to embrace wearables and are we ready to support the change?
1:00 Coffee and Dessert Break in the Exhibit Hall
2:00 Afternoon Plenary Keynotes
3:10 Booth Crawl & Refreshment Break in the Exhibit Hall. Last Chance for Exhibit Viewing
4:10 Chairperson’s Remarks
Craig Lipset, Independent Advisor, Former Head of Clinical Innovation, Pfizer Inc.
4:15 Predictive Medicine: Artificial Intelligence and Its Impact on the Future of Healthcare
Fombu, MD, MBA, Physician, Author: The Future of Healthcare
The true benefits of artificial intelligence, machine learning, natural language processing, robotics and data will be seen when we move away from our current fee-for-service model of healthcare and towards preventative medicine. The idea is simple:
instead of waiting for people to get sick and then trying to treat their symptoms (reactive medicine), we can head illnesses off at the pass, intercept and stop them from becoming a problem in the first place. Artificial Intelligence is making
the art and science of predictive medicine cheap and realistic.
4:35 How Will Digital Transform Clinical Trials: Lessons from the Private Sector
Jacob LaPorte, PhD, Co-Founder & Vice President, Global Head of BIOME – The Digital Innovation Lab, Novartis
Implementing digital solutions is harder than it looks. One of the key reasons for that is lack of global regulatory standards. The digital challenge can overwhelm the sites and it requires investment to test & validate the technology. Digital
technologies will lead to data explosion and more targeted clinical studies.
4:55 Digital Health Dreams vs. Digital Health Reality: Realities of Building Innovative Patient-Centric Capabilities for Clinical Trials
Alex Simmonds, Head, Clinical Trial Solutions, Noona Healthcare
The hyped-up potential of digital health technology to transform pharma shouts from every industry news source and at every crowded conference. But, the truth is that technology invention and innovation have always preceded technology adoption by
many years, in every industry. This is especially true in life sciences R&D, where the frictions to innovation adoption – powerful regulatory constraints, long timelines to execute trials and the misaligned incentives of the healthcare
system itself – have resulted in especially slow progress bringing new technologies into clinical trial conduct.
5:15 Presentation to be Announced
5:45 PANEL DISCUSSION: Scaling Innovation
Lipset, Independent Advisor, Former Head of Clinical Innovation, Pfizer, Inc.
Panelists: Tammy Guld, Global Lead, Janssen Clinical Innovation
Speakers of the Session
Digital tools can generate a great deal of buzz and attention, but most companies today are exploring and experimenting with similar digital solutions. What will set companies apart is not whether they can find digital tools or pilot solutions, but
which companies are able to implement and scale digital solutions across their development organization.
- Explore how companies are organizing themselves to scout, pilot and scale digital solutions
- Identify strengths across various models -- from centralized digital and innovation teams to capabilities being embedded with business owners
- Share best practices to move innovation “beyond the pilot”
6:15 Networking Reception
7:15 Close of Day
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Friday, February 21
7:15 am Registration Open
7:45 Breakfast Presentation to be Announced
8:15 Session Break
8:20 Chairperson’s Remarks
Chair to be Announced, TrialScope
8:25 Virtual Trials from A to Z: Operations, Technology, Data Analytics
Pam Duffy, Senior Director & Digital Strategic Planning and Demand Lead, Pfizer
Virtual trials bring studies directly to patients, increasing participation and boosting your cycle times. Combining technology, data science and clinical expertise, they speed patient recruitment, heighten retention and enhance data quality--at lower
8:55 CO-PRESENTATION: Understanding the Data Journey in Virtual Trials
Associate Director, Clinical Operations, Biogen
Andrew Kornberg, Associate Professor & Senior Neurologist, The Royal Children's Hospital Melbourne
Virtual trials promise to improve clinical research. New methods of data collection and usage also bring new challenges. This forum will model the journey of data in a virtual trial, identify key challenges and offer solutions for sponsors and
9:25 AI in Clinical Trials: From Big Sky to Practical Application
Jim Reilly, Vice
President, Vault Clinical, Veeva Systems
Artificial Intelligence (AI) has made its way into the realm of clinical trials and is reshaping how studies are conducted. This presentation looks at the practical ways AI and process automation are being used effectively today to optimize trial
design and execution. Join this presentation for a look into how technology is revolutionizing the clinical operations landscape – from the smallest biotech to big pharma.
9:55 Presentation to be Announced
10:25 Networking Coffee Break
10:55 Chairperson’s Remarks
Craig Lipset, Independent Advisor, Former Head of Clinical Innovation, Pfizer, Inc.
11:00 PANEL DISCUSSION: Virtual Trials: State of the Union
Moderator: Craig Lipset, Independent Advisor, Former Head of Clinical Innovation, Pfizer, Inc.
Panelists: Speakers of the Session
- Let's discuss terminology: Site-less, de-centralized, virtual?
- Does it have to be one model, or can we mix (e.g. traditional and remote)?
- Does digital technology inevitably lead to virtual trials?
- What are some specific challenges in retaining patients and investigators?
- What are the data science considerations in de-centralized/virtual trial?
11:30 Presentation to be Announced
12:00 pm Transition to Shared Sessions
12:00 Chairperson’s Remarks
12:05 Real World Evidence Generation for Clinical Decision Making: Can AI Solve the Challenges?
Professor Dr. Dorothee Bartels, Clinical and Real World Data Strategist, X The Moonshot Factory
Real World Evidence Generation (RWE) is continuously gaining importance, but trust in results, transparency and reproducibility are challenging. The same is true for prediction models based on learning algorithms. Questions are arising: who
may be the best expert in big data analysis; who may have the appropriate skill sets; and can clinical decisions be based on real world data analysed by either traditional or artificial intelligence (AI) methods? Complementary approaches
using synergies from the epidemiological and AI field may boost the field of RWE.
12:25 Re-Skilling for AI/ML: Leveraging Your SMEs
Nechama Katan, Associate Director, Data Monitoring and Management, Clinical Sciences and Operations, Global Product Development, Pfizer
AI/ML are very powerful tools for clinical trials. However, there is a gap between those that understand what AI/ML can do for the business and the business SME (subject matter experts) who really understand the business problems. Without
strong SME engagement in solutions, technical solutions are often at risk. This talk will review successful case studies for developing “lego” employees/teams who help bridge the gaps between AI/ML technologist and the SMEs.
We will discuss both the how and what that makes an AI/ML project successful in clinical trials.
12:45 PANEL DISCUSSION: AI Implementation: Technology, Data, People
Moderator: Prasanna Rao, Head, AI & Data Science, Data Monitoring and Management, Clinical Sciences and Operations, Global Product Development, Pfizer Inc.
Panelists: Balazs Flink, PhD, Head, Clinical Trial Analytics, R&D Business Insights, Bristol-Myers Squibb
Faisal Khan, PhD, Executive Director, Advanced Analytics and Artificial Intelligence, AstraZeneca
Arun Patnaik, Director, Clinical Data Management, Data Operations, Novartis
Malaikannan Sankarasubbu, Vice President, AI Research, Saama Technologies
It was proven that machine learning and AI can aid clinical development in various aspects. With evolving AI technology implementation challenges become more and more noticeable. This panel discussion will brainstorm the key pain points of
- What is the best technology and how to work with technology providers?
- How to make all data machine learnable and available for AI applications
- How to solve “the people puzzle”
1:05 Transition to Lunch
1:10 SCOPE Send Off Luncheon Presentation (Sponsorship Opportunity Available)
1:40 Closing Remarks
1:45 SCOPE Summit 2020 Adjourns
Day 1 | Day 2 | Download Brochure