Data Management

Manage Data to Create Value

May 17 - 18, 2023 ALL TIMES EDT

With the increased demand in computing power from life science researchers and scientists tackling big data issues, data storage infrastructure must be able to scale to handle billions of data points and files efficiently. The problem is administration of data to ensure information can be integrated, accessed, shared, linked, analyzed, and maintained to effect change across the organization. Are data mesh and data fabric really the answer? How do you make sense of data and its content to create value? The Data Management track will explore these questions and other themes related to FAIR data, data reuse/governance/literacy, data federation, and standards/data curation/harmonization.

Monday, May 15

– 6:00 pm Hackathon*8:00 am

*Separate Complimentary Registration Required, see Hackathon page to submit your project OR register to participate

– 5:00 PM Registration Open – Come Early and Avoid the Lines2:00 pm

Tuesday, May 16

Registration Open7:00 am

Recommended Pre-Conference Workshops and Symposia*8:00 am

On Tuesday, May 16, 2023 Cambridge Healthtech Institute is pleased to offer nine pre-conference workshops scheduled across three time slots (8:00-10:00 am, 10:30 am-12:30 pm, and 1:45-3:45 pm) and two Symposia from 8:25 am-3:45 pm. All are designed to be instructional, interactive and provide in-depth information on a specific topic. They allow for one-on-one interaction and provide a great way to explain more technical aspects that would otherwise not be covered during the main conference tracks that take place Wednesday-Thursday.

*Separate registration required. For details, see Workshop agendas, FAIR Data Symposium agenda, and Knowledge Graphs Symposium agenda.

– 3:45 pm Hackathon*8:00 am

*Separate Complimentary Registration Required, see Hackathon page to submit your project OR register to participate

Refreshment Break and Transition to Plenary Keynote3:45 pm

PLENARY KEYNOTE PROGRAM

4:00 pm

Plenary Keynote Organizer's Remarks

Cindy Crowninshield, Executive Event Director, Cambridge Healthtech Institute

4:05 pm

Innovative Practices Awards

Joseph Cerro, Independent Consultant

Chris Dwan, Independent Consultant, Dwan, LLC

Allison Proffitt, Editorial Director, Bio-IT World

The Innovative Practices Awards recognizes and celebrates innovation that advances life sciences research. Bio-IT World is currently accepting entries for the 2023 Innovative Practices Awards, a competition designed to recognize partnerships and projects pushing our industry forward. Winners will be announced in mid-April 2023, recognized during the Tuesday May 16 Plenary Keynote Program, and scheduled to give a 30-minute podium presentation about their project during the conference. The deadline for entry is March 3, 2023. For more details about the Awards and to submit an application, visit the official Bio-IT World Innovative Practices Awards page: https://www.bio-itworld.com/Award/.

4:20 pm Plenary Keynote Introduction

David Gosalvez, PhD, Executive Director, Strategy & Informatics Portfolio, Revvity Signals

4:30 pm PLENARY KEYNOTE PRESENTATION:

The Promise of Data, Analytics, and Technology: Fueling Scientific and Medical Breakthroughs

Anastasia Christianson, PhD, Vice President, Global Head of AI, ML, Analytics, and Data, Pfizer Inc.

Edward Cox, Head & General Manager, Digital Health & Medicines (DHM), Pfizer Inc.

The 21st century has been referred to as the Century of Biology. With 90% of the world’s 97 zettabytes of data generated in the past 2 years and 30% of today’s data being healthcare related, how are we using data technology and advanced analytics (artificial intelligence, machine learning, and deep learning) to advance our understanding of disease and deliver “breakthroughs that change patients' lives?”

Welcome Reception in the Exhibit Hall with Poster Viewing5:45 pm

Close of Day7:00 pm

Wednesday, May 17

Registration and Morning Coffee7:00 am

PLENARY KEYNOTE PROGRAM

8:00 am

Plenary Keynote Organizer's Remarks

Allison Proffitt, Editorial Director, Bio-IT World

8:05 am PLENARY KEYNOTE INTRODUCTION:

Life Science Automation Opportunities – So Many Options, So Little Time

Santanu Sen, Vice President, Healthcare & Life Sciences, Virtusa

The COVID pandemic has demonstrated that therapies and vaccines can be developed in 18 months with a high degree of safety and efficacy. Pioneering work done by companies involved has shed light to archaic processes that have been in existence for decades with little need for change.  In this presentation, we will discuss collaborative efforts, enabling technologies, regulation, and workflow to automate these processes to advance personalized medicine initiatives.

8:15 am PLENARY KEYNOTE PRESENTATION:

Federated Futures: How the Largest Federated Learning Effort in Medicine Will Inform Our Next Steps

Spyridon Bakas, PhD, Assistant Professor, Radiology & Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania

Raymond Y. Huang, MD, PhD, Division Chief, Neuroradiology, Brigham and Women’s Hospital; Associate Professor of Radiology, Harvard Medical School

Jason Martin, Principal Engineer AI Research Science, Security Solutions Lab, Intel Labs

Is a federated learning model sufficient to handle data from 71 institutions and more than 6,000 patients located on six continents? Researchers from Penn Medicine and Intel Labs say yes. An interdisciplinary team created the largest to-date global federated learning effort to develop an accurate and generalizable machine learning model for detecting glioblastoma borders. We will share what we learned about creating and maintaining such a federation, how the software infrastructure evolved over the course of the study, and how this work will empower the future of high-quality, precision clinical care worldwide.

Coffee Break in the Exhibit Hall with Poster Viewing9:30 am

Organizer's Welcome Remarks10:15 am

SCIENTIFIC DIGITAL AND DATA TRANSFORMATION STRATEGIES

10:20 am Chairperson's Remarks

Rachelle Bienstock, Signals Notebook Product Marketing Manager, Product Marketing, Revvity Signals

10:25 am

Finally an Agile Platform for Screening Data Analysis and Reporting I Can Tailor to My Needs 

Stephen Brough, Scientific Leader, NCE Medicine Design Data Strategy, GlaxoSmithKline Pharmaceuticals

Legacy drug discovery data capture, analysis, and reporting platforms no longer satisfy the needs of an increasingly complex, information-rich world. Leveraging unlimited potential to deploy ‘perfect fit’ solutions to our unique challenges and opportunities allows us to reap considerable and rapid – if not immediate, off-the-shelf – benefits. From integrations to agile development of specific analysis enabling ‘apps’ and workflows, Signals VitroVivo delivers on its promise.

10:55 am

Moving Fast and NOT Breaking Things: Informatics Implementation at a Start-Up

Kashif Hoda, Director of Research Informatics, Proteovant Therapeutics

How do you build an informatics infrastructure in place while continuing to support the global collaborative research effort at a growing startup? This talk will present the Signals Suite of products implementation that will include lessons learned, pitfalls to avoid, setting expectations, and communications.

11:25 am PANEL DISCUSSION:

Implementing Discovery Informatics at Start-Ups and Large Companies

PANEL MODERATOR:

Rachelle J. Bienstock, PhD, Product Marketing Manager, Signals Notebook, PerkinElmer Informatics, Inc.

We conclude our session with a panel discussion on implementing Discovery Informatics at startups and large companies. Gain insights into navigating growth while supporting global collaborative research efforts, including setting expectations, communication, and avoiding pitfalls. Learn how to build a scalable system and engage with experts in the field during the panel discussion.

PANELISTS:

Stephen Brough, Scientific Leader, NCE Medicine Design Data Strategy, GlaxoSmithKline Pharmaceuticals

Kashif Hoda, Director of Research Informatics, Proteovant Therapeutics

11:55 am Scaling Usage of Real World Data (RWD) through AI Based Automations

Nishant Aggarwal, VP of Product Development, Deloitte

Anu Sharma, Principal Scientist, Center for Observational and Real World Evidence, MRL, Merck & Co., Inc.

Evidence generated from Real World Data (RWD) is transforming how pharmaceutical companies discover, develop and commercialize their products. The proliferation of RWD sources, coupled with the heterogeneity of data types and varying degrees of completeness, create significant challenges and opportunities. In this session, we will discuss how RWD is being leveraged today, the challenges of efficient data discovery at scale, and how AI/ML can be leveraged to overcome these challenges. 

12:25 pm Deriving Smart Decisions for Target Discovery, Preclinical & Clinical Research and Beyond

Kai Preuss, Solutions & Sales Director, metaphacts

Extracting, sharing and reusing knowledge from proprietary and public data sources are challenges faced by most pharma companies today. With metaphactory, pharma companies can build a platform to enable data sharing and smart decisions from R&D to preclinical, clinical and beyond. This enables users to interact with volumes of data, use and reuse knowledge, and extract insights that foster collaboration and streamline processes all the way to manufacturing and market access.

Session Break and Transition to Luncheon Presentation12:55 pm

1:05 pm LUNCHEON PRESENTATION:Disaster Recovery: Building a platform (and culture!) to protect data

Douglas Ricketts, Senior Technical Account Manager, Synology America Corp.

Research environments produce immense amounts of data, and when working with such, you need a secure and resilient data storage and management platform. In this session we will review strategies to minimize the risk of unexpected data loss, but also examine how to best prepare to recover quickly when such incidents inevitably occur. 

Refreshment Break in the Exhibit Hall with Poster Viewing1:50 pm

DATA PRODUCT MANAGEMENT STRATEGIES

2:35 pm

Chairperson's Remarks

Stan Gloss, Co-Founder & Fellow, BioTeam, Inc.

2:40 pm

Data Product Management the Key to Building Product-Centric Organizations

Stan Gloss, Co-Founder & Fellow, BioTeam, Inc.

Mason Victors, Founding Fellow, Recursion Pharmaceuticals, Inc.

According to McKinsey, 80% of Digital Transformation projects fail to meet their objectives. The root cause of this problem is that there is no Digital Transformation without Data Transformation. Many organizations view their data as exhaust or a byproduct that needs to be managed instead of as the fuel that drives insightful decision-making. This talk will explore how organizations, like Recursion Pharmaceuticals, are moving from a project to a product mindset and implementing data product management to drive change from the ground up. Stan and Mason will discuss trends and the role data product management plays in monetizing data by developing data products that their stakeholders will love.

3:10 pm

Herding Data Complexity Without Fundamental Change will Prevent or Delay Any Transformations

John Conway, Chief Visioneer Officer, 20/15 Visioneers

Technology is not the problem in scientific informatics and scientific data management. Like most things in our lives, we are the root cause, as our inability to adapt and change to new and better ways of working is stalled or delayed. Examples will get highlighted with real R&D use cases. We will discuss much better approaches to scientific data and process-based strategy adoption, allowing you to achieve your digital transformations.

3:40 pm

AbbVie R&D Convergence Hub (ARCH) (Innovative Practices Awards Winner)

Brian Martin, Head of AI, R&D Information Research, Research Fellow, AbbVie, Inc.

The AbbVie R&D Convergence Hub (ARCH), is driving convergence in AbbVie R&D as a central knowledge platform that brings together harmonized, normalized, and curated data from over 170 internal and external sources. Giving scientists across R&D access to this integrated knowledge platform provides them unparalleled access and potential to extract insights and generate hypotheses in novel and powerful ways. Helping AbbVie’s community of researchers to access this knowledge faster, easier, and in automated ways is leading towards a goal to double the productivity of AbbVie R&D. Ultimately, the ARCH and the applications and utilities developed from it are already helping AbbVie to deliver innovative medicines and solutions to patients.

4:10 pm Components of Ontology Management in Biomedical Domain

Chandra Sekhar Pedamallu, Dr., Associate Vice President, Bioinformatics and Data Science, Excelra

Many companies in the biomedical domain are using ontologies for Data Annotation/ integration/ analysis, NER, etc. However, managing ontologies is a challenging task due to the multiple components involved in the management process, and the decision-making, standardization, and collaboration required in these components.

Based on our experience, we present the components of effective ontology management, deployment, and integration in the Biomedical domain.

4:25 pm Driving Digital Transformation for R&D agility and product innovation to meet consumer needs

Andrew White, Computational Toxicology Science Leader,, Safety and Environmental Assurance Centre,, Unilever

Unilever R&D is in the midst of a large-scale digital transformation with a view to innovating boldly
for people and planet alike, whilst meeting the consumer needs of today and tomorrow. Access to large
amounts of data and use of high-performance computing and advanced data analytics has enabled
innovation and virtual simulation at scale – massively shortening the time it takes to ideate
and design compelling product innovations.

Best of Show Awards Reception in the Exhibit Hall with Poster Viewing4:40 pm

Close of Day6:00 pm

Thursday, May 18

Registration and Morning Coffee7:30 am

PLENARY KEYNOTE PROGRAM

8:00 am

Plenary Keynote Organizer's Remarks

Cindy Crowninshield, Executive Event Director, Cambridge Healthtech Institute

Plenary Keynote Sponsor Introduction (Opportunity Available)8:05 am

8:15 am PLENARY PANEL DISCUSSION:

Assessing Innovation: How Pharma Makes Tech Investment Decisions

PANEL MODERATOR:

Aaron Mann, CEO, Clinical Research Data Sharing Alliance

This panel session will assemble senior leaders who evaluate new technology adoption. We will hold an interactive discussion to help provide transparency in the evaluation and decision-making process for assessing and investing in new technologies. Themes we will cover include: 1) process for evaluating, piloting, and scaling new technologies and technology approaches; 2) how an organization evaluates an emerging technology vendor landscape; 3) when and how a formal buying process becomes required, and 4) identifying key stakeholders, decision-makers, and gatekeepers. 

PANELISTS:

April Bingham, Executive Director, Global Medical Compliance and Governance Chapter, Roche

Peter Mesenbrink, PhD, Executive Director, Biostatistics, Novartis Pharmaceuticals

Maria Palombini, Global Practice Leader, Healthcare & Life Sciences, IEEE Standards Association

Laszlo Vasko, Senior Director, Clinical Innovation R&D IT, Janssen Pharmaceuticals, Inc.

Coffee Break in the Exhibit Hall with Poster Viewing9:30 am

Organizer's Remarks10:15 am

HARNESSING VALUE FROM R&D DATA

10:20 am

Chairperson's Remarks

Santha Ramakrishnan, PhD, Head, R&D Data Strategy and Operations, Sanofi

10:25 am PANEL DISCUSSION:

Engaging the User to Harvest Value from Data

PANEL MODERATOR:

Santha Ramakrishnan, PhD, Head, R&D Data Strategy and Operations, Sanofi

This panel discussion brings together leading data and digital voices to explore the topic of user engagement in getting to good data quality and governance. Themes we will cover include agile decision-making, data literacy, user experience, and community and leadership engagement in a cross section of organizations.

PANELISTS:

Julia Bardmesser, Chair, Technology Advisory Council, Women Leaders in Data and AI (WLDA)

Ramon Felciano, PhD, Founder, Digital Alchemy; Former CTO, Qiagen Digital Insights

Yves Fomekong Nanfack, Executive Director, Head of End to End AI Foundations, Large Molecules Research, Sanofi

Kim Rees, Executive Director, Head of Data Lifecycle Experience Design, JP Morgan Chase

Xiaoying Wu, Vice President, Data Platforms & Privacy, Janssen Pharmaceuticals, Inc.

11:55 am Integrating Image Data Management and Analysis with OMERO Plus

Erin Diel, PhD, Head of Product, Glencoe Software

Session Break and Transition to Luncheon Presentation12:55 pm

1:05 pm LUNCHEON PRESENTATION:AI is Only as Good as Its Data: The Importance of Quality Data

Thibault Geoui, Senior Director, BioMedicine Innovation, Elsevier

Elsevier leverages its vast data assets in innovative ways to predict outcomes, manage risks, and uncover novel insights. We will explore two such applications: Embiology, a biology knowledge graph that streamlines discovery and investigation for translational scientists, bioinformaticians, and cell biologists, and the use of Elsevier's data to train LLMs and Generative AI. These demonstrate exciting possibilities that arise when data-driven research is combined with cutting-edge technology.

Refreshment Break in the Exhibit Hall with Poster Viewing1:50 pm

TRENDS FROM THE TRENCHES

2:35 pm

Chairperson's Remarks

Ari E. Berman, PhD, CEO, BioTeam, Inc.

2:40 pm

Trends from the Trenches

Ari E. Berman, PhD, CEO, BioTeam, Inc.

Adam Kraut, Director, Infrastructure & Cloud Architecture, BioTeam, Inc.

Anna Sowa, PhD, Senior Scientific Consultant, BioTeam, Inc.

Since 2010, the “Trends from the Trenches” presentation has been one of the most popular annual traditions of the Bio-IT Program. The intent of the session is to deliver a candid (and occasionally blunt) assessment of the best, the most worthwhile, and the most overhyped information technologies (IT) for life sciences. The presentation has helped scientists, leadership, and IT professionals understand the basic topics related to computing, storage, data transfer, networks, cloud, data science, and machine learning that are involved in supporting data-intensive science. In 2023, consultants from BioTeam will give an overview of the trending issues in life sciences. An interactive Q&A moderated discussion with the audience follows. Come prepared with your questions and commentary for this informative and lively session.

Close of Conference4:10 pm






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