Cambridge Healthtech Institute’s 21st Annual

Bio-IT World Conference & Expo

May 3-5, 2022

In September 2021, the Bio-IT World Conference & Expo convened life science professionals from around the world in-person and virtually to celebrate how far we’ve come as an industry transitioning through COVID-19 and reviewed what worked well and what needed improvement. Many organizations pivoted to become more research driven data organizations, acknowledging the vast explosion of data generation and application and how to make the most of data and computing to advance precision medicine and science at scale. We discussed important themes around digital and data transformations and their impact on people, process and technology; how functions and departments have been impacted with the influx of data and data types and the ability to use artificial intelligence, machine learning, and IoT to derive value; metrics and analytics used to measure impact; R&D efforts for unmet medical needs, and more!

On May 3-5, 2022, the Bio-IT World Conference & Expo will return to the Hynes Convention Center in Boston (with a live virtual stream as well) to take action on our discussions and learnings from 2021. Knowing what we know now, where is the best place to invest our time, R&D efforts, and funding? How can we move past our short term plans we put in place as an initial crisis response and create long term strategies that are more agile and fuel collaboration? What are the new talking points regarding data and computing to advance precision medicine and science at scale? What are new innovations when it comes to data management, AI, supply chain, cloud computing, etc.?

Do you have a story to share that fits the discussion and learnings we want to feature in 2022? If yes, we want to hear from you.

Let’s hold each other accountable for pushing the Bio-IT community forward and continuing to grow and learn from our past. Join your peers from around the world and access updates from inspiring keynotes, more than 150 presentations, and 3 days of interactive discussion. One of these presentations can be yours! Check out our programming line-up below and submit an abstract. We hope to see you in May!

Tuesday, May 3, 2022

Symposium 1: FAIR Data

New Frontiers in Findable, Accessible, Interoperable, and Reusable Data Generation

As the volume of data being produced by pharma companies, medical centers, and academic organizations continues to rise, the capacity for full utilization of this data is hampered by a series of limitations. Over the past few years, application of the FAIR principles (findable, accessible, interoperable, usable) has emerged as a solution to combat these limitations and increase the value of data sets. However, practical challenges in applying these principles, as well as concerns about data privacy, remain. The FAIR Data symposium will showcase FAIR applications in software, data repositories, and specific data types both open source and private. Case studies will be presented on applications from across different disciplines.

Wednesday, May 4 – Thursday, May 5

Track 1: Modern Data Platforms and Storage Infrastructure

Solutions to Enable Discovery and Ease Data Bloat

The Modern Data Platforms and Storage Infrastructure track will explore data platforms and storage infrastructure solutions that enable discovery and solve the data bloat problem. Speakers will discuss applications, platforms and tools, and scalable solutions.

Track 2: Data Management

Manage Workflows and Administer Effective Data Processes

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 best effect across the organization. The Data Management track will explore important themes related to FAIR data, data governance, and data federation.

Track 3: Data Science and Analytics Technologies

Transform Data into Fast Answers, at Scale to Advance Biomedical Research

The Data Science and Analytics Technologies track will explore data science and analytics tools, technologies, and languages that data scientists are using to gain extra insights and value from data. Presentations will explore becoming a data-driven organization, innovative approaches to data management and analytics, making real impact with data science, and applying data science and tools.

Track 4: Software Applications and Services

Tools, Models, and Services to Automate and Optimize Digital Data Flow and Processes

As data generation increases, there is a need for workflows that are reproducible across infrastructures, and empower scientists and researchers to apply cutting-edge analysis methods. One problem is scientific data are not centralized or standardized and are fragmented—from instrumentation to clinical research to legacy software. A second problem, critical validation of algorithms, is commonly overlooked. There are real-world differences in data equivalence for integration and analysis, without adequate contextual information. The Software Applications and Services track explores how biopharma companies are driving data strategies and scientific decision-making by leveraging software tools and data platforms. Case studies will be presented on software tools to facilitate data manipulation, data analytics approaches, data methods and standards approaches, transparency, efficiency, security, and cost-effective solutions.

Track 5: Cloud Computing

Apply Cloud to Advance Research and Facilitate Collaboration

Cloud, the preferred platform for delivery of computing services, is utilized for analyzing, modeling, storing, processing, exploring, and sharing dynamic data. Even with cloud’s maturity though, innovations and applications continue to evolve. Thus, enterprises are transitioning from a piece-meal approach to a more holistic end-to-end digital transformation with cloud at its core. However, architects and development teams face a tough job. They make many choices toward the setup of an enterprise’s cloud footprint and these choices may be lasting decisions. Through case studies, the Cloud Computing track explores the rapid growth and progressive achievements of cloud as well as evolving provider and user experiences and challenges.

Track 6: AI for Drug Discovery and Development

Harness the Power of Artificial Intelligence and Machine Learning to Maximize and Accelerate Drug Discovery and Development Pipeline Efforts

The AI for Drug Discovery and Development track will discuss opportunities and challenges that biopharma organizations are experiencing in harnessing the power of artificial intelligence and machine learning technologies to maximize and accelerate drug discovery and development efforts from early stage to adoption to practical application. Speakers will explore the role of AI in transforming disease understanding and target ID, approaches using AI and human expertise to help identify and deliver validated targets, as well as enhance chemical drug design and precision medicine.

Track 7: AI for Oncology, Precision Medicine, and Health

New and Emerging Data Tools that Enable AI

The AI for Oncology, Precision Medicine, and Health track will discuss new and emerging data tools that enable AI. Speakers will explore the application of these tools and how they are used in oncology, precision medicine, and healthcare to leverage information to identify risk factors and recommend early medical or drug interventions.

Track 8: Bioinformatics

Turn Big Data into Smart Data with Computational Resources and Tools

The Bioinformatics track assembles thought leaders who will present case studies using computational resources and tools that take data from multiple -omics sources and align it with clinical action. Turning big data into smart data can lead to real-time assistance in disease prevention, prognosis, diagnostics, and therapeutics. With the ever-increasing volume of information generated for curing or treating diseases and cancers, bioinformatics technologies, tools, and techniques play a critical role in turning data into actionable knowledge to meet unstated and unmet medical needs.

Track 9: Pharmaceutical R&D Informatics

Drive Precision Medicine through the Digitalization of Pharma R&D

The fact that the pharma industry generates more data than ever before and needs an effective way to analyze and understand it is not new; however, the past two years have brought about an unprecedented sense of urgency around the need to generate, organize, analyze, and act upon data in order to push through new products at record-breaking speed or while working outside of a traditional office or clinical trial setting. The Pharmaceutical R&D Informatics track will explore key challenges and solutions around developing and scaling key infrastructure, managing data generated via new technologies and services, and creating an effective informatics ecosystem while meeting scientific, business, and regulatory demands. We’ll explore the continued role FAIR data has in successful projects, strategies around developing analytics and visualization tools, and novel approaches to utilizing AI, NLP, and machine learning, and how these initiatives are driving innovation in R&D.

Track 10: Digital Biopharma

Infrastructure, Processes and Analytics to Support Digitization of Biopharma R&D

The growing volume, complexity, and variety of new modalities, including next-generation antibodies, advances in cell and gene therapy, and vaccines, as well as the need to integrate data management across discovery and into development, has resulted in massive amounts of data that can no longer be handled using excel sheets and emails. This situation, combined with the growing demand to industrialize, automate, and generally accelerate, has shown that a digital infrastructure to collect, manage, model, and analyze data is a critical foundation for success. The Digital Biopharma track explores the latest advances in data management and analytics used to increase process efficiency and quality and to identify the most promising drug candidates to quickly move forward from research into development.

Track 11: Automation, Digital Lab, and Robotics

Platforms and Technologies for Digital Transformation of Lab Workflows

The Automation, Digital Lab, and Robotics track will explore platforms and technologies that enable the creation of true digital lab workflows, automating several time-consuming tasks. Speakers present case study examples and best practice solutions for seamlessly integrating devices and other applications along with challenges presented on how to catalyze the digital transformation of biopharma research.

Track 12: Digitization of Clinical Development and Clinical Trials

Collect and Transform Raw Data into Actionable Insights to Accelerate and Improve Clinical Outcomes

Data and digital technologies are changing traditional drug discovery and clinical development processes, and the pandemic has served to accelerate the digitization trend. Advancing clinical research and translational research requires transforming raw research data and biological insights into clean, actionable data for integration, visualization, and analysis. The Digitization of Clinical Development and Clinical Trials track explores new and innovative tools and techniques–digital health technologies, data analytics, machine learning, and artificial intelligence–and how they can be leveraged to address specific challenges faced across the drug discovery spectrum to accelerate the translation of scientific discoveries from the bench to medical care. Gain practical recommendations and real-world insights from case studies across pharma and academia.

If you would like to submit a proposal to give a presentation at this meeting, please click here.

The deadline for priority consideration is October 22, 2021.

All proposals are subject to review by the Scientific Advisory Committee to ensure the overall quality of the conference program. In your proposal submission, please indicate names and/or organizations of all speakers you intend to participate in the final presentation. Additionally, as per Cambridge Healthtech Institute policy, a select number of vendors and consultants who provide products and services will be offered opportunities for podium presentation slots based on a variety of Corporate Sponsorships.

For more details on the conference, please contact:

Cindy Crowninshield, RDN, LDN

Executive Event Director

Cambridge Healthtech Institute

Phone: (+1) 781-247-6258

Email: ccrowninshield@healthtech.com

For partnering and sponsorship information, please contact:

Companies A-K

Rod Eymael

Business Development Manager

Cambridge Healthtech Institute

Phone: (+1) 781-247-6286