Precision Medicine East 2027
Sheraton Boston Hotel, MA
Computational Pathology, AI & Precision Diagnostics
March 23 – 24, 2027 | Sheraton Boston Hotel, Boston, MA
The Computational Pathology programme takes the conversation around precision medicine to deployment within pathobiology and the AI innovation required to achieve it. Key themes cover foundation models, agentic AI systems and integrated pathology practice, with speakers and exhibitors providing insights into how these are contributing to building pathways for AI-driven pathology in pharma R&D and precision diagnostics
Across the two event days, the programme explores key considerations for the development of the field including alternative models and integrating computational pathology with spatial biology within R&D pipelines to provide delegates insight into practical implementation of precision therapeutics

Engaging Thought Leadership
Experience a variety of interactive discussions, thought leadership debated, & collaborative roundtables, with insights from industry leaders on key developments and pain points in the advancement of multi-omics.
Global Technology Showcase
An international exhibition showcasing cutting-edge technologies & services from premier providers in the scientific field.
Networking Emphasis
Unparalleled networking opportunities, including personalised 1-2-1 meetings, a vibrant drinks reception, and informal gatherings to foster meaningful connections.


leading pharma, biotech, regulatory & academic delegates
Spatial Multi-Omics 2026 Agenda at a Glance
DAY ONE
Track 2: Emerging Multi-Omics Platforms and Applications: Genomics & Transcriptomics
Track 3: Spatial Biology for Therapeutic Discovery & Development (Oncology & Immunology)
DAY TWO
Track 1: Emerging Multi-Omics Platforms and Applications: Proteomics, Epigenomics & MetabolomicsTrack 2: Spatial Biology for Therapeutic Discovery & Development

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Secure Your Place
Join leading voices in Computational Pathology for two days of insight, networking and dealmaking. Places are limited.
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