Breaking Down Silos. Connecting Expertise. Accelerating Patient Impact.
The AI, Data & Analysis program covers how AI and data science are changing precision drug development and diagnostics, and where human judgment remains critical. It is for data science and AI leads, bioinformaticians, and platform and infrastructure providers.
Session Themes
AI & Machine Learning for Data-Driven Precision Medicine
How AI, machine learning and advanced analytics turn complex biological and clinical data into insights that improve biomarker discovery, patient stratification, treatment selection and clinical outcomes.
Featured Sessions
AI in Multi-Omics: Hype, Reality, and What Comes Next
AI and data in Boston
Building on 15 years of NextGen Omics in Boston, AI, Data & Analysis at Precision Medicine East draws on some of America's longest-standing academic medical centers, research institutions and life sciences organizations.
The focus is translational bioinformatics, multi-omics data integration, computational biology and clinically validated machine learning, and how rich patient datasets are advancing precision diagnostics, biomarker discovery and personalized treatment.

The questions shaping AI & Data in 2027
Every program at Precision Medicine East now generates more data than any one team can interpret alone, from multi-omic and spatial datasets to pathology images and patient records. AI, Data & Analysis is where the people who build the models meet the people who need them.
Advances in AI, machine learning and multimodal foundation models are helping researchers integrate complex datasets and uncover new biological insights. The question is how to ensure these approaches deliver reliable, reproducible results while addressing challenges around data quality, bias, interpretability and privacy.
At Precision Medicine East, the program runs alongside Biomarkers & CDx; Computational Pathology, AI & Precision Diagnostics; and Multi-Omics Development & Applications, so data scientists, bioinformaticians and drug developers can work through those questions together.
Who should attend
Data science and AI leads
Bioinformaticians
Platform and infrastructure providers
R&D leaders
Algorithm specialists
Data management experts
FAIR data teams

How it connects
AI, Data & Analysis focuses on the technologies, infrastructure and machine learning approaches that turn complex healthcare and biological data into insight, including generative AI, predictive analytics and data integration. The other three programs show how that insight is used, in biomarkers, pathology and multi-omics. Links to each program, plus the AI & Data Zone.
Frequently Asked Questions
How do we keep patients at the center of data-driven precision medicine?
Where will AI make the most impact, and where is it overhyped?
How do you develop AI tools for drug development in a regulated environment?
How can researchers make AI work on real-world data, safely and at scale?
Sessions cover combining real-world and multi-omics data for disease modeling, response prediction and biomarker discovery, alongside responsible AI practices that hold up as datasets grow more complex.
When and where is the AI, Data & Analysis program at Precision Medicine East?
AI, Data & Analysis Program Speakers
NextGen Omics Data & Analysis 2026 Agenda at a Glance
DAY ONE
Track 1: Multi-Omics Approaches for Data Integration, Harmonization & Analytics
Key Event Highlights
An unmissable journey awaits you: from celebrated keynote speakers and insightful private roundtables, to an exclusive gala dinner. Discover the moments that will transform your NextGen Omics & Spatial experience.
