Cambridge Healthtech Institute’s 23rd Annual
Bio-IT World Conference & Expo
Building a Global Network for Precision Medicine
April 15-17, 2024
The deadline for priority consideration is October 13, 2023.
Are you equipped with a fresh and groundbreaking presentation for the upcoming 23rd Annual Bio-IT World Conference & Expo, scheduled for April 15-17, 2024, in Boston, MA? We are eager to receive your proposals!
We have over 190 speaking slots to fill and are actively seeking speakers from the life sciences community who are keen to showcase their cutting-edge research and accomplishments. You can present through best practice case studies or collaborative partner presentations covering a wide array of relevant themes, including but not limited to data ecosystems, big data, smart data, cloud computing, trends in IT infrastructure, -omics technologies, high-performance computing, data analytics, precision medicine, AI/machine learning, bridging the gap from research to clinical applications, FAIR Data, data mesh/data fabric, Lab of the Future, digital health, and much more!
Since its inauguration in 2002, the annual Bio-IT World Conference & Expo has established itself as a premier event showcasing the myriad of IT and informatics applications and enabling technologies that drive biomedical research, drug discovery & development, and clinical and healthcare initiatives. The Bio-IT World Conference & Expo continues to thrive as a dynamic gathering, uniting over 3,000 life sciences, pharmaceutical, clinical, healthcare, and IT professionals hailing from more than 30 countries.
Spanning three action-packed days, the 2024 conference, set for April 15-17 in Boston, MA, encompasses nine workshops, six symposia, ten conference tracks, and one venturing, partnering & investing conference. We have retained many of our flagship tracks while introducing exciting new ones that have us buzzing with anticipation! This is your chance to shine and showcase your research and contributions at this influential event. Your colleagues and peers eagerly anticipate staying well-informed about significant updates and advancements within the field.
SYMPOSIA (taking place Monday, April 15)
Symposium 1: FAIR Data
Accelerate Biomedical Discovery with FAIR Data, Tools, Protocols, and Best Practices
The volume of life science data, particularly in genomics, is experiencing exponential growth. However, the full utilization of this data often faces challenges. The FAIR initiative is a potent force with the potential to substantially enhance the value of genomic datasets. Convening academic, governmental, and commercial end-users who are at the forefront of FAIR data utilization, the FAIR Data Symposium will emphasize the applications of FAIR principles in software, data repositories, and various data types, both open source and proprietary. Presentations delve into FAIR principles and their definitions, distinctions among different technology tools and toolkits, collaborative approaches in public-private partnerships, interoperability and data management, and practical application and use cases.
Symposium 2: Knowledge Graphs
Leverage Integrated Knowledge Graphs to Accelerate Biomedical Research, Drug Discovery, and Precision Medicine
The biopharma industry is increasingly embracing knowledge graphs, harnessing their power and versatility to accelerate the advancement of data science and AI-driven drug discovery. These innovative graphs facilitate knowledge sharing by creating a seamless integration point across diverse data types and sources. Consequently, shared data is transformed into actionable knowledge, and a systematic mechanism is established to extract this knowledge in a traceable and timely manner. At the Knowledge Graphs Symposium, you will gain firsthand insights into how biopharma organizations are actively engaged in constructing their own internal knowledge graphs and collaborating with external partners to implement them effectively. The presentations will showcase the tangible impact these knowledge graphs have on pharmaceutical research and beyond.
Symposium 3: Quantum Computing
Unlocking the Future of Pharmaceuticals with Quantum Innovations
Join our upcoming symposium, where quantum technologies are poised to revolutionize the pharmaceutical industry. Gain valuable insights from leading experts in both quantum computing and pharmaceuticals, covering a wide spectrum of topics from early-stage R&D to supply chain management. Discover the exciting world of quantum computing, explore its practical applications, and understand how industry standards will drive adoption in Life Sciences. With 70% of life science organizations already considering quantum computing for drug discovery, molecular simulation, precision medicine, and logistics, this symposium is your gateway to staying at the forefront of industry innovation. Don't miss your chance to be part of this quantum revolution in pharmaceuticals!
Symposium 4: Automation, Digital Lab, and Robotics
Transforming Labs: Where Innovation Meets Automation
Discover the Future of Labs at our Automation, Digital Lab, and Robotics Symposium! Explore cutting-edge practices in physical lab automation, data automation, and workflows. Dive into key themes such as interoperability standards, emerging trends, and how it all converges to shape the Lab of the Future. Learn the secrets of effective data management to achieve FAIR (Findable, Accessible, Interoperable, Reusable) capabilities. Join us for an immersive journey into the future of laboratory innovation!
Symposium 5: Digital Biopharma
Infrastructure, Processes, and Analytics to Support Digitization of Biologics R&D
The continued growth in volume, complexity, and variety of new modalities, including next-generation antibodies, cell and gene therapies, and vaccines, as well as the need to integrate data management and collaboration across discovery and into development requires a digital infrastructure to effectively collect, manage, model, and analyze data. The Digital Biopharma symposium 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.
Symposium 6: Digitization of Clinical Development and Clinical Trials
Collect and Transform Raw Data into Actionable Insights to Accelerate and Improve Clinical Outcomes
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 symposium explores new and innovative tools and techniques, including digital health technologies, data capture and data analytics, machine learning, and artificial intelligence. Explore 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.
TRACKS (taking place Tuesday, April 16 – Wednesday, April 17)
Track 1: Modern Data Platforms and Storage Infrastructure
Design, Deploy, and Oversee Data Storage Solutions Optimized for Optimal Speed, Performance, and Cost Efficiency
Is the challenge of managing your data growing daily? Do you possess a flexible and robust data management framework to effectively store, process, analyze, transfer, and safeguard vast data volumes in alignment with your organizational guidelines? Are you familiar with balancing availability and interoperability? What strategies exist for scalable distributed and federated data analytics? How are you navigating the discussions surrounding speed, performance, and cost trade-offs? Which vendors are the most suitable for your needs? How do you assess the strengths and weaknesses of technological solutions? Which data storage methods and types prove to be efficient? Considerable strides have been taken by pioneering organizations in advancing large-scale data management, encompassing storage platforms, integration and migration strategies, and governance. The Modern Data Platforms and Storage Infrastructure track explores these inquiries and shares best practices derived from these endeavors.
Track 2: Data Management
Leverage Data for Value Creation in Life Sciences
With the growing demand for computing power among life science researchers and those addressing big data challenges, it is essential for data storage infrastructure to possess scalability to efficiently manage billions of data points and files. The primary challenge lies in the effective administration of data, ensuring its integration, accessibility, sharing, linkage, analysis, and maintenance to drive transformative change within the organization. Are data mesh and data fabric the true solutions to these challenges? How can one extract meaningful insights from data and its contents to generate value? The Data Management track delves into these inquiries and explores various topics, including FAIR data principles, data reuse, governance, literacy, data federation, and standards, as well as data curation and harmonization.
Track 3: Data Science and Analytics Technologies
Tools and Methods for Extracting Insights and Value from Data to Advance Biomedical Research
The Data Science and Analytics Technologies track explores the tools, technologies, and programming languages employed by data scientists to extract additional insights and value from data. During presentations, we will discuss the significance of scalable platforms versus personalized data science assistance, the transformation into a data-driven organization, inventive strategies for data management and analytics, the art of identifying the genuine questions that require answers, the practical impact of data science, and the practical application of data science tools.
Track 4: Software Applications and Services
Design Software Application Architecture to Add Value to All Ecosystem Stakeholders
The Software Applications and Services track explores how organizations are shaping their data strategies and scientific decision-making by optimizing release management, automated testing, and harnessing software architecture tools and development trends. As the landscape of life sciences and healthcare evolves, so do the realms of Apps and Services. What tools are at our disposal for crafting Apps and Services? To what extent is "personalized" software development tailored to a specific company beneficial or necessary? Software forms the cornerstone of innovation, and a well-designed software application architecture can enhance the value within an ecosystem of stakeholders. The track will feature case studies highlighting software tools that facilitate data manipulation, data analytics approaches, data methods, standards, transparency, efficiency, security, and cost-effective solutions.
Track 5: Cloud Computing
Enable Collaboration and Drive Better, Faster Analytics Using Cloud Infrastructure and Applications
Adoption and deployment of cloud technologies is no longer an aspiration but a necessary mandate to enable digital transformation. There is simply no other way to store, manage, analyze, and share the massive amounts of data being collected to drive advancements in precision medicine. However, there are countless choices that must be made to determine the best path for your organization. Through case studies and best practices, the Cloud Computing track explores options and provides guidance on how best to determine the right cloud or hybrid infrastructure and applications to advance R&D, enable collaboration and innovation, and support flexibility to stay abreast of technological advances driving precision medicine.
Track 6: Generative AI
Harness Data Potential to Drive Innovation and Advance Biomedical Research
Each year, the exponential growth of data presents a tremendous opportunity for biopharma organizations to realize tangible benefits. However, despite the massive surge in data volume and diversity, traditional methods of data analysis and sharing have failed to keep pace, hindering organizations from fully harnessing this data's potential. Organizations encounter formidable challenges when attempting to unify data from disparate sources due to siloed data repositories, varying data formats, and incompatible legacy systems, impeding the derivation of comprehensive insights. Generative AI holds immense potential in revolutionizing various facets of life sciences research and development, from accelerating innovation to enhancing data-driven decision-making and streamlining labor-intensive tasks. The accuracy and reliability of generated data must be rigorously ensured, and ethical and regulatory considerations must be heeded when applying generative AI in life sciences. The Generative AI track discusses these critical issues along with
barriers to adoption, data strategies and platforms, use cases, and predictions.
Track 7: AI for Drug Discovery and Development
Leverage Artificial Intelligence and Machine Learning for Optimal Speed and Efficiency in Advancing Drug Discovery and Development Pipelines
The AI for Drug Discovery and Development track delves into the opportunities and obstacles faced by biopharma entities as they leverage the capabilities of artificial intelligence and machine learning technologies to optimize and expedite the entire drug discovery and development process, spanning from the initial stages to practical implementation. Speakers will examine AI's role in reshaping our comprehension of diseases and target identification, approaches that blend AI with human expertise to identify and validate targets, and how it can elevate the field of chemical drug design and precision medicine. Additionally, we'll explore how AI and machine learning initiatives measure up against the established and proven methods of drug discovery leading to successful market launches.
Track 8: AI for Oncology, Precision Medicine, and Health
Enhance Accessibility and Exploration of Comprehensive Multi-Omics Real-World Data
Accessing robust multimodal real-world data (RWD) sets in oncology can often be challenging, as they are frequently compiled with incomplete genomic and clinical information. This lack of comprehensiveness hinders the integration of tumor biology with clinical practices. The AI for Oncology, Precision Medicine, and Health track explores technology tools and platform solutions to facilitate the application of artificial intelligence in disease pathology. What are the nuanced complexities of the problem at hand before deploying these technology tools? What data resources are accessible to ensure effective utilization? Throughout the track, speakers present best practice use cases that address these critical questions, ultimately aiding in harnessing information for the seamless transition of translational research findings into diagnostic support and clinical applications. A diagnostic provider that adopts a comprehensive patient profiling approach along with user-friendly tools for data linkage and analysis would provide immense value to the research community.
Track 9: Bioinformatics
Harness Computational Tools and Techniques to Transform Extensive Data into Intelligent Insights, to Advance Pharma R&D
The Bioinformatics track convenes leading experts who will share case studies highlighting the use of computational resources and tools to conduct comprehensive analyses of multimodal data spanning genomics, transcriptomics, proteomics, metabolomics, and other data types, such as imaging. This data integration is aligned with clinical applications, aiming to transform big data into actionable insights for real-time support in disease prevention, prognosis, diagnostics, and therapeutics. As the volume of data generated for disease treatment and prevention continues to surge, bioinformatics technologies, tools, and methodologies remain pivotal in converting data into valuable knowledge, addressing unspoken medical needs. Additionally, the track explores topics like innovative single-cell data analysis methods, the synergy between bioinformatics and data science/AI in advancing research, and the application of deep learning in bioinformatics for pharmaceutical R&D.
Track 10: Pharmaceutical R&D Informatics
Drive Precision Medicine through the Digitalization of Pharma R&D
The urgency surrounding generating, organizing, and analyzing data in the pharmaceutical industry has not waned. In fact, the desire to develop new technologies and to speed development of infrastructure and special projects in our new normal continues to grow at record speed. The Pharmaceutical R&D Informatics track explores digital transformation efforts and strategies for optimizing operations via new technologies and services to create an efficient informatics ecosystem while meeting scientific, business, and regulatory demands. We address trends in data science and analytics, particularly for target assessment, pharmacology prediction, and generative chemistry, as well as key projects around data products and finding better, cheaper ways to FAIRify data for these products. Large language models, such as ChatGPT, are also discussed, as well as ways AI and machine learning are driving innovation in R&D.
Bio-IT World Venture, Partnering & Investing Conference
Uniting Investors, Leaders, Advancing Innovation
The Bio-IT World Venture, Partnering & Investing Conference takes place April 17, 2024, in Boston, MA, as a premier event, running in parallel with the Bio-IT World Conference and Expo. Building on CII’s successful launch of its Venture, Innovation & Partnering Conference Series, we bring to Bio-IT a new community of senior-level investors, corporate executives, entrepreneurs, and start-up leaders, from across the life science informatics field. This high-level, networking event consists of thought-provoking, industry-led panels, fireside chats, and numerous networking opportunities for startups, investors, and potential acquirers, to foster meaningful connections. You are invited to join us at this conference, focused on venture and innovation, to acquire valuable strategic insights, honest perspectives, and practical business recommendations for collaboration and investment. Additionally, you will have the opportunity to explore the exhibit hall and connect with both emerging and established companies in this field, enabling you to grasp the direction the industry is heading.
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 13, 2023.
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.
Opportunities for Participation: