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The Knowledge Graphs Symposium @ Bio-IT World* is a pre-conference event co-located with the Bio-IT World Conference & Expo, produced by Cambridge Health Institute (part of Cambridge Innovation Institute). The symposium will showcase how next-generation graph technologies are transforming the landscape of biomedical research. As the scale and complexity of multimodal data continue to grow, knowledge graphs are evolving from experimental tools into essential platforms for integrating diverse datasets and revealing new biological insights. Speakers will share real-world experiences demonstrating how knowledge graphs unify fragmented data, enable richer analysis, and map complex biological relationships across scales. Designed for data scientists, bioinformaticians, computational biologists, and R&D leaders, this symposium provides practical perspectives on how AI-infused knowledge graphs can drive more efficient research, support translational breakthroughs, and open new frontiers in precision medicine.

Conference History:

4th Knowledge Graphs Symposium 2026, May 19, 2026, Boston, MA, USA

Symposium Theme: Connect Fragmented Data for Unified Views and Powerful Discoveries
(Part of Bio-IT World Conference & Expo, May 19-21)

Conference program TBD

Bio-IT World Tracks:
Integrated Analytics, Bioinformatics & Knowledge Intelligence

3rd Knowledge Graphs Symposium 2025, April 2, 2025, Boston, MA, USA

Symposium Theme: Bring Knowledge Graphs to Life through Real-World Scientific Applications
(Part of Bio-IT World Conference & Expo, Apr 2-4)

Session: BUILDING AND LEVERAGING FOUNDATIONAL KNOWLEDGE GRAPHS FOR BIOMEDICAL RESEARCH
Human Reference Atlas Knowledge Graph: Construction and Applications
A Graph Database with Billions of Nodes and Edges Linking Mouse and Human Genetics
Advancing Medical QA: A Knowledge Graph Agent for Complex, Multi-Strategy Reasoning
Building Enterprise-Scale Knowledge Graphs for Biomedical Discovery: Strategies, Insights, and Impact
SAGE: Scientific Discovery through AI-Infused Knowledge Graphs to Enrich Disease Understanding
Enhancing Drug Manufacturing with a Batch Genealogy Knowledge Graph

LUNCHEON PRESENTATION:
Harnessing AI to Identify Causal Relationships and Enhance Research and Scientific Validation in Pharma

Session: ADVANCING BIOMEDICAL INSIGHTS: KNOWLEDGE GRAPHS, AI/ML, AND GENERATIVE FRAMEWORKS IN RESEARCH AND DRUG DISCOVERY
Integrating AI/ML Solutions with Cutting-Edge Biology to Identify New Condensate Targets and Revolutionary Medicine
Integrating LLMs, Ontologies, and Graph Structures: A Unified Framework for Advanced Data Insights
Harnessing the Unified Biomedical Knowledge Graph (UBKG) for Large-Scale Data Integration and Discovery
Pre-Introducing Knowledge Graphs and Large Language Models: Dangerous Predictions about the Next Token (Panel Discussion)

KEYNOTE SESSION:
Explainable AI in Drug Discovery (Introduction)
From Bytes to Breakthroughs: Next-Generation AI Driving the Future of Life Sciences and Healthcare (Panel Discussion)

2nd Knowledge Graphs Symposium 2024, April 15, 2024, Boston, MA, USA

Symposium Theme: Leverage Integrated Knowledge Graphs to Accelerate Biomedical Research, Drug Discovery, and Precision Medicine
(Part of Bio-IT World Conference & Expo, Apr 15-17)

Session: KNOWLEDGE GRAPHS: INTRODUCTION, USE CASES, TECHNICAL FOUNDATION
An Introduction to Knowledge Graphs: A Technical Foundation
From Evidence to Insights: Cascading Insight Generation Using Knowledge Graphs
Charting the Patient Path: Harnessing Knowledge Graphs for Insightful Visualization and Management of Care Infrastructure
Data-Centric Initiatives in the Age of GenAI
Knowledge-Driven Mechanistic Enrichment for Improved Phenotyping of Pediatric Rare Disease
An Ignorance-Base for Prenatal Nutrition: A Knowledge Graph to Explore the Literature’s Known Unknowns
Knowledge Graphs: Complex Reasoning in Clinical Research and Clinical Decision Support
Getting Started with Knowledge Graphs (Panel Discussion)

LUNCHEON PRESENTATION:
Harnessing AI to Bridge the Gap Between your Data and Global Research Knowledge

Session: TAKING THE NEXT STEP: BUILDING ADVANCED GRAPHING CAPABILITIES
Generative AI and Knowledge Graphs for Frictionless Information Access
Ask ARCH: LLM Question Answering over Large-Scale Knowledge Graphs
Insights through Knowledge Graphs, Quantum Computing, and Machine Learning in the NIH’s Bridge2AI Initiative
 Accelerating Drug Discovery with Comprehensive Curated Knowledge
Knowledge Graphs in Translational Research: Unleashing New Discoveries
Enhancing Decision-Making and Drug Portfolio Workflows at Takeda Pharmaceuticals: The Role of Information Architecture and Digital Tools
Advanced Capabilities (Panel Discussion)

KEYNOTE SESSION:
Unleashing the Power of Advanced Computing in Biomedical Informatics: A Vision for Transformative Collaboration

1st Knowledge Graphs Symposium 2023, May 16, 2023, Boston, MA, USA

Symposium Theme:
(Part of Bio-IT World Conference & Expo, May 16-18)

Conference program n.a.