Breaking Down Silos. Connecting Expertise. Accelerating Patient Impact.

AI, Data & Analysis Program at Precision Medicine East


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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.

Boston Skyline

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

AI Data Analysis Who Should Attend Image

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?
The AI & Machine Learning for Data-Driven Precision Medicine track looks at how AI and multi-omics can advance personalized treatment while keeping patient needs, outcomes and trust in focus, including the ethical use of AI and the need for transparent, interpretable analysis.
Where will AI make the most impact, and where is it overhyped?
Sessions look at where machine learning delivers in target identification, biomarker discovery, disease modeling and predicting patient response, and where expectations need grounding in evidence. The discussion AI in Multi-Omics: Hype, Reality, and What Comes Next takes a critical look.
How do you develop AI tools for drug development in a regulated environment?
By building tools that are scientifically robust, explainable and fit for responsible use. Sessions cover how multi-omics and longitudinal data strengthen predictive models, and why interpretability, transparency and trust matter in AI-driven analysis.
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?
March 23–24, 2027, at the Sheraton Boston Hotel. Session times will be on the agenda.

Be part of the conversations shaping
the future of medicine.


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2027 Program

7

Speakers

8

Sessions

7

Hours of Content

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. 

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