Cambridge Healthtech Institute’s 20th Annual
Bio-IT World Conference & Expo
September 20-22, 2021 EDT
SPEAKER PROPOSALS NOW BEING ACCEPTED
For 20 years, the Bio-IT World Conference & Expo has been the world’s premier event showcasing technologies and analytic approaches that solve problems, accelerate science, and drive the future of precision medicine. Bio-IT World unites a community
of leading life sciences, pharmaceutical, clinical, healthcare, informatics and technology experts in the fields of biomedical research, drug discovery & development, and healthcare from around the world.
The Bio-IT World community employed creativity, problem solving, and technical ingenuity to weather 2020 and never was the work more important. Now, as we look forward, we have another challenge: to capture and share what we’ve learned, making this
season of unparalleled pressure also a season of sustained growth and progress.
We invested heavily last year: pouring money, time, and creativity into fighting a global pandemic with science, data, and collaborative effort. Now–together–let’s celebrate the returns on our investments.
When the community of 1,900 life sciences, pharmaceutical, clinical, healthcare, and IT professional attendees from 30+ countries come together at the 2021 Bio-IT World Conference & Expo, it will be to toast our wins over the past months and build
on the progress we’ve made.
For 20 years, our community has spearheaded new developments and discoveries–and this year we’ve uncovered new opportunities.
Across 150 speaking slots–keynotes, panel discussions, joint partner talks, and podium presentations–in 10 tracks and 8 workshops, the speakers at the 20th Annual Bio-IT World Conference & Expo will take stock of our progress, map the
new landscape for bio-IT, and share how last year’s labor is already reaping harvests of innovation.
2020 drastically altered much of the world; bio-IT, precision medicine, and the life sciences were not spared. But we can use those challenges for progress. Join us as we celebrate 20 years of Bio-IT World and our community’s future!
TRACKS (taking place Tuesday, September 21 - Wednesday, September 22)
Track 1: Data Storage Infrastructure:
Align Hardware and Software Components to Facilitate Data Storage and Computing Requirements
Is the burden of managing your data growing larger every day? Do you have a scalable and robust data storage infrastructure in place that allows proper storage, processing, analyzing, and transferring of vast quantities of data according to your organization
policies? Is your organization using new tools and analytical processes such as AI and deep learning that stress your supporting data storage infrastructure beyond the expectations of system designers? Managing data has become a prevalent issue
in the life sciences industry. Organizations are spending millions on systems and platforms to manage, store, and transfer many types of data (e.g., experimental, operational, clinical) from many different disparate sources. The role of data engineering
is critical in orchestrating, configuring, managing, and scaling solutions to manage the data bloat problem. The Data Storage Infrastructure track presents in-depth case studies from leading life sciences organizations who are
implementing solutions to address data storage and computing requirements. We will discuss system design including capacity, performance, and availability.
Track 2: Data Management:
Manage Workflows and Administer Effective Data Processes to Satisfy Increased Computing Power Demands
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 how to manage data workflows and administer effective
data processes to satisfy increased computing power demands.
Track 3: Software Applications and Services:
Drive Data Manipulation and Scientific Decision-Making by Leveraging Software Tools
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 is 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 4: 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. The
global pandemic has further necessitated the need for digital solutions. Thus, enterprises are transitioning from a piecemeal approach to a more holistic end-to-end digital transformation with cloud at its core. However, architects and development
teams face a tough job. Choices made at setup 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
Track 5: 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 6: Pharmaceutical R&D Informatics:
Drive Precision Medicine through the Digitalization of Pharma R&D
The idea that the pharma industry as a whole generates more data than ever before and needs an effective way to analyze and understand it is not new; however, 2020 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 7: Data Science and Analytics Technologies:
Transform Data into Fast Answers, at Scale
The Data Science and Analytics Technologies track will explore popular 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 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: Genome Informatics:
Apply Informatics Tools, Science, and Statistics to Extract Knowledge from Data for Genome Analysis, Biomarker Detection, and Target Discovery
Biological information from genome sequences is derived by the application of computer and statistical techniques. Additionally, protein sequence and structure can be predicted by analyzing DNA sequence information. Tremendous advancements have
been made to broaden sequencing applications from research to the clinic, especially as genomics becomes more integrated with precision medicine and AI initiatives. In spite of this, enormous problems still exist with data integration and
analysis pipelines and sensitivity to accuracy in diagnosis and/or disease stratification. What is the role of computer science in modeling cells, analyzing and mapping data networks, and incorporating clinical and pathological data to determine
how diseases arise from mutations? How do bio-IT approaches help relate SNPs, expression, and disease? What is the role of AI in data curation techniques, text mining approaches, and statistical analytics to discover disease or drug response
pathways to identify personalized and focused treatments and cures? Presentations in the Genome Informatics track will explore these issues and how organizations and research teams are implementing computational approaches
to understand the biology of genomes for accurate disease diagnosis.
Track 10: Clinical Research and Translational Informatics:
Transform Raw Data into Actionable Insights to Accelerate and Improve Clinical Outcomes
Advancing clinical trials and translational research requires transforming biological insights and raw research data into clean, actionable data for integration, visualization, and analysis. The Clinical Research and Translational Informatics track
explores new and innovative tools and techniques–including 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 April 12, 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
For partnering and sponsorship information, please contact:
Vice President, Business Development
Cambridge Healthtech Institute
Phone: (+1) 781-972-5467
For marketing information, please contact:
Senior Marketing Manager
Cambridge Healthtech Institute
Phone: (+1) 781.972.5415