Cambridge Healthtech Institute’s 24th Annual
Bio-IT World Conference & Expo
Converging Science and IT to Advance Precision Medicine
April 2-4, 2025
SPEAKER PROPOSALS NOW BEING ACCEPTED
The deadline for priority consideration is September 25, 2024.
Are you ready to present at the 24th Annual Bio-IT World Conference & Expo, taking place April 2-4, 2025, in Boston, MA? We’re excited to receive your proposals!
The Bio-IT World Conference & Expo is the premier global event for showcasing the technologies and analytic approaches that solve problems, accelerate science, and drive the future of precision medicine. For over two decades, we have brought together 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 to explore cutting-edge innovations and best practice applications.
Our discussions have covered the spectrum of digital and data transformations, the influence of AI, machine learning, and IoT, and the quest to address real-world data challenges using Open Source and FAIR Data principles. We've explored digital health tools that drive collaboration and innovation in the digitalization of medicine, the power of predictive and generative AI models to accelerate discovery and development, navigating investment trends in biotech, among other critical topics!
From April 2-4, 2025, we return to Boston to continue these vital discussions, to push the Bio-IT community forward. With over 190 speaking opportunities available, we’re looking for dynamic speakers from the life sciences community eager to showcase their innovative research and achievements and how they help (or will help) to solve a problem or challenge.
Join us for three engaging days of workshops, symposia, conference tracks, and networking opportunities. This year’s event promises to be as dynamic as ever, featuring our flagship tracks alongside exciting new topics that reflect the latest industry trends. Your contribution is essential to being seen as a leader, advancing the discussions, and sharing the latest advancements with your colleagues and peers. They're eager to stay informed on the latest updates and advancements in the field, and they want to hear from you! Don’t miss this chance to be a part of an influential gathering and to spotlight your research and contributions. We look forward to your proposals and to seeing you in Boston!
SYMPOSIA (taking place Wednesday, April 2)
SYM: Knowledge Graphs
Bring Knowledge Graphs to Life through Real-World Scientific Applications
The Knowledge Graphs symposium at the Bio-IT World Conference & Expo will explore the transformative role of knowledge graphs in life sciences. Experts will showcase real-world applications, covering technical foundations, advanced graphing capabilities, and scaling challenges. The symposium will highlight the integration of knowledge graphs with AI technologies, demonstrating their impact on data-driven decision-making, scientific accuracy, and workflow optimization in drug discovery and clinical research. Attendees will gain insights into harnessing knowledge graphs to drive innovation and accelerate discoveries in the life sciences.
SYM: Digital Biopharma
Infrastructure, Processes, and Analytics to Support Digitalization of Biologics R&D
The continued growth in volume, complexity, and variety of new modalities, such as multispecifics, cell and gene therapies, and RNA therapeutics, 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 how biopharma and biotech companies are implementing AI/ML approaches and connecting every part of data and analytics ecosystems to extract maximum value, reduce effort duplication, and empower scientists to make data-driven decisions faster.
SYM: Generative AI Tools
Apply Gen AI Tools & Technologies to Unlock the Power of Data & AI for Drug Discovery
The Generative AI Tools symposium will offer a highly specialized exploration of generative AI tools specifically tailored for the drug discovery and development process. Unlike broader discussions on AI methodologies, this symposium will delve deeply into the application of generative AI technologies within the context of drug discovery. The focus will be on providing attendees with practical, hands-on experiences, allowing them to engage directly with cutting-edge generative AI platforms. Participants will gain a comprehensive understanding of the mechanics and functionalities of these tools, exploring their role in various stages of the drug discovery pipeline. Key areas of focus will include molecular design, where generative AI can assist in creating novel compounds; target identification, where these tools help in discovering and validating new biological targets; and candidate optimization, where generative AI aids in refining drug candidates for better efficacy and safety profiles. The symposium will feature interactive sessions and case studies showcasing real-world applications of generative AI in drug development. By concentrating on the specialized application of generative AI tools, the symposium aims to provide actionable insights and hands-on experience, setting it apart from broader AI discussions that take place during the track sessions on Thursday and Friday and offering a unique perspective on their implementation in drug discovery.
TRACKS (taking place Thursday, April 3 – Friday, April 4)
Data Platforms & Storage Infrastructure
Optimize Data Storage Solutions for Peak Speed, Performance, and Cost Efficiency
Are your data management challenges growing more complex with each passing day? Do you have the right framework in place to efficiently store, process, and secure your expanding data volumes while ensuring compliance with organizational standards? As data availability and interoperability become increasingly critical, are you struggling to keep up with scalable solutions for distributed and federated analytics? How do you manage the trade-offs between speed, performance, and cost without compromising on quality? With so many vendors and technologies available, how can you confidently choose the most effective storage methods and platforms to meet your unique needs? Are your data storage practices sustainable? The Data Platforms & Storage Infrastructure track delves into these critical questions, providing insights into the latest trends such as cloud-based solutions, high-performance computing, and the integration of AI and machine learning. This track showcases how leading organizations are pioneering advancements in large-scale data management, including innovative storage platforms, integration and migration strategies, and governance frameworks, to meet the demands of the life sciences industry. Join us to explore best practices and cutting-edge approaches that are shaping the future of data infrastructure.
Data Management
Harness Data to Accelerate Discoveries and Advancements in Life Sciences
As the demand for computing power grows among life science researchers, managing vast and diverse datasets has become increasingly challenging. Scalable data storage infrastructure is essential for efficiently handling billions of data points and files. Effective administration of data, including its integration, accessibility, sharing, linkage, analysis, and ongoing maintenance, is critical. This track delves into how emerging technologies like data mesh and data fabric address these challenges and explores strategies for deriving actionable insights from complex datasets. Key topics include FAIR data principles, data reuse, governance, literacy, as well as data federation, curation, and harmonization. Additionally, we will examine how robust data foundations support data readiness for AI, ensuring effective deployment of artificial intelligence and machine learning models. Discover how these innovative approaches can enhance data management and drive significant advancements in life sciences.
Data Science & Analytics Technologies
Tools and Methods for Extracting Insights and Value from Data to Advance Biomedical Research
The Data Science & Analytics Technologies track delves into the cutting-edge tools, technologies, and methodologies that data scientists use to unlock deeper insights and drive value from their data. Presentations will highlight the shift towards scalable platforms and personalized analytics solutions, explore strategies for building data-driven organizations, and examine innovative approaches to data management and real-time analytics. We will also address how to frame critical questions that guide data investigations, assess the tangible impacts of data science in practical settings, and showcase the latest advancements in data science tools and their applications. Join us to explore how these technologies are transforming research and decision-making in the life sciences.
Software Applications & Services
Build Robust Data Ecosystems with Software Solutions
In the rapidly evolving landscape of life sciences and healthcare, optimizing software applications and services is crucial for shaping data strategies and enhancing scientific decision-making. The Software Applications & Services track delves into how organizations are leveraging cutting-edge tools and trends in software architecture to improve release management, automate testing, and streamline development processes. We will explore the latest advancements in software solutions tailored to the unique needs of the life sciences sector, including personalized software development and its benefits. Discover how innovative software applications drive value across a diverse ecosystem of stakeholders by improving data manipulation, analytics, and integration. Case studies will illustrate effective approaches to enhancing transparency, efficiency, security, and cost-effectiveness in software solutions. Join us to gain insights into the software tools that are redefining the future of data management and scientific innovation.
Cloud for AI/ML & Modern Data Science
Cloud Technologies and Strategies to Drive Better, Faster Analytics
Adopting and deploying cloud technologies is a critical necessity for digital transformation. With the vast amounts of data required to drive innovation, enable AI/ML capabilities, and support modern data science, cloud solutions are essential. However, navigating the numerous choices to find the best fit for your organization can be challenging. The Cloud for AI/ML & Modern Data Science track, through insightful case studies and best practices, offers guidance on selecting the ideal cloud or hybrid infrastructure and applications to advance R&D, foster collaboration and innovation, and maintain the flexibility needed to keep pace with the technological advances shaping pharmaceutical R&D.
Generative AI
Harness Data Potential to Drive Innovation and Advance Biomedical Research
In the face of ever-expanding data volumes, biopharma organizations are presented with unparalleled opportunities to drive innovation and gain actionable insights. Despite this surge, conventional data analysis and sharing methods struggle to keep pace, leaving organizations to grapple with fragmented data sources, inconsistent formats, and outdated systems that inhibit a holistic view of their data. Generative AI emerges as a transformative force, promising to redefine life sciences research and development by overcoming these challenges. From accelerating breakthroughs to optimizing data-driven strategies and automating complex processes, generative AI offers significant potential. However, ensuring the accuracy and reliability of AI-generated data, while navigating ethical and regulatory landscapes, remains crucial. The Generative AI track explores these pivotal aspects, addressing barriers to implementation, evolving data strategies and platforms, and showcasing real-world use cases and future predictions. Join us to discover how generative AI can be harnessed to unlock new dimensions of research and development, paving the way for a more integrated and innovative approach to life sciences.
AI for Drug Discovery & Development
Accelerate Drug Discovery and Development with AI-Driven Efficiency
The AI for Drug Discovery and Development track explores the transformative impact of artificial intelligence and machine learning across the entire drug development lifecycle. This track offers a broad perspective on how AI technologies are reshaping biopharma workflows, from initial discovery through to clinical application and market entry. Speakers will delve into the role of AI in enhancing disease understanding, optimizing target identification, and integrating human expertise with advanced algorithms to refine drug design and precision medicine. The track will highlight innovative AI-driven methodologies and their practical applications, comparing these cutting-edge approaches with traditional drug discovery processes. Attendees will gain insights into how AI and machine learning are not only accelerating the pace of drug development but also improving the efficacy of therapeutic interventions and personalizing treatments. By examining real-world case studies and success stories, this track will showcase how AI is driving significant advancements in drug discovery, offering actionable strategies to bridge the gap between innovative technologies and proven drug development practices.
AI for Oncology, Precision Medicine & Health
Optimize Access and Analysis of Multiomics Real-World Data
Accessing comprehensive real-world data (RWD) in oncology presents significant challenges due to often incomplete genomic and clinical information. This gap impedes the effective integration of tumor biology with clinical practices. The AI for Oncology, Precision Medicine, & Health track addresses these issues by exploring cutting-edge technology tools and platform solutions designed to enhance the application of artificial intelligence in oncology. This track will delve into the complexities of deploying AI tools in disease pathology and identify the most valuable data resources for effective utilization. Presentations will showcase best practices and case studies that tackle these critical challenges, offering insights into how to bridge gaps in data completeness and improve integration for more robust research outcomes. Attendees will learn how comprehensive patient profiling and advanced data linkage tools can facilitate the transition of translational research findings into practical diagnostic support and clinical applications. By adopting these innovative approaches, researchers and healthcare providers can unlock new value in oncology, paving the way for more precise and effective treatments.
Bioinformatics
Transform Extensive Data into Actionable Insights with Advanced Computational Tools for Pharma R&D
The Bioinformatics track highlights cutting-edge developments in life sciences bioinformatics, focusing on integrating multiomics data—including genomics, proteomics, and metabolomics—to gain a comprehensive understanding of biological systems and disease mechanisms. Key discussions will cover advancements in computational genomics, such as improved algorithms for large-scale data analysis and variant detection, and the role of artificial intelligence and machine learning in predictive modeling and data interpretation. The track will address big data analytics and how high-throughput technologies like next-generation sequencing (NGS) generate insights from massive datasets. Precision medicine will be explored, demonstrating how bioinformatics tools personalize medical treatments based on genetic and lifestyle factors. Functional genomics techniques like CRISPR screening and RNA-Seq will be discussed, along with the integration of clinical and genomic data to enhance diagnosis and treatment strategies. Additional topics include structural bioinformatics for drug discovery, the adoption of FAIR principles to improve data sharing, and the latest advancements in single-cell sequencing for understanding cellular heterogeneity. This track will showcase how these trends are advancing bioinformatics, driving innovation, and shaping the future of life sciences research.
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 will explore 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 will address new trends in organizing and analyzing data, the role of FAIR data principles, and infrastructure to support more flexible data queries. This program will dive into flexible modalities, ways to support this through infrastructure, and large-scale projects in large language models, ChatGPT, and AI.
Digitalization of Clinical Development
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 track 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 patient care.
INVESTOR CONFERENCE (taking place Thursday, April 3)
Bio-IT World Venture, Innovation & Partnering
Uniting Investors and Leaders: Advancing Innovation
On day two of the renowned Bio-IT Conference and Expo, now in its 20th year, the Venture, Innovation & Partnering Conference will unite investors and leaders from the global life sciences, pharmaceutical, clinical, healthcare, informatics, and technology sectors. This boutique one-day event is dedicated to identifying where capital is flowing to drive innovation in tech and software that supports drug R&D. Attendees will gain insights into navigating the critical early stages of biotech development, explore trends in venture investments, and understand the impact of major funding rounds. The high-level event will also cover the timing of strategic mergers, acquisitions, and IPOs, as well as effective portfolio management and de-risking strategies through partnerships, providing a comprehensive roadmap for building successful biotech companies.
If you would like to submit a proposal to give a presentation at this meeting, please click here.
The deadline for priority consideration is September 25, 2024.
All proposals are subject to review by session chairpersons and/or the Scientific Advisory Committee to ensure the overall quality of the conference program. Additionally, as per Cambridge Healthtech Institute’s 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:
SPEAKER PROPOSALS NOW BEING ACCEPTED