Translation to Healthcare

By empowering breakthrough solutions in molecular life science and AI, SciLifeLab enable the rapid integration of precision medicine innovations into Sweden’s healthcare system.

As health is individual, patients can benefit greatly from personalized treatments, tailored for their specific molecular disposition. Precision Medicine, relies on technology development and requires close collaboration between scientists and healthcare professionals.

SciLifeLab aims to bring cutting-edge technologies, first-class expertise and data infrastructure to build the foundation of tomorrow’s Precision Medicine.

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Vision

Breakthrough technologies in molecular life science to power precision medicine and tomorrow’s healthcare

Our vision is that by 2035, Sweden will be a world leader in introducing groundbreaking biotechnologies and AI in medicine to ensure patient-centred, transformative health care. To achieve this, we are establishing a unique cluster of excellence that enables the continuous and fast translation of cutting-edge molecular profiling and imaging with AI-powered data analysis to Sweden’s university hospitals. The cluster will thus enable precision medicine of the future, change healthcare and promote the growth of new companies.


Core implementation concept of the excellence cluster to create a set of joint precision medicine units where SciLifeLab technology and data experts and clinicians work side by side.

Our take on precision medicine

Precision medicine plays an increasingly important role in healthcare, and Sweden has high ambitions to be a leading country within this field.

Find out more about SciLifeLab’s work on precision medicine and translation of technological breakthroughs to clinical practice.

Integrated X-ray and biomedical imaging for the future of pathology

IXBI, a Swedish Research Council excellence cluster application with the aim to achieve end-to-end pipeline for biopsies by uniting Sweden’s strengths in:

  • Clinical imaging
  • X-ray imaging and tomography
  • AI-driven multimodal analysis

IXBI will establish interoperable workflows linking imaging -guided biopsies (CIR), dose -efficient phase-contrast X-ray tomography of intact tissue (MAX IV), volume electron microscopy and spatial omics (SciLifeLab), fused by AI-driven data analysis (SciLifeLab). Together these methods enable correlative characterisation of patient biopsies from organ scale to nanoscale with molecular readouts.

The cluster aims to define how cross‑scale
imaging/omics can be combined to create
comprehensive medical image to understand tissue pathologies.

Last updated: 2025-12-04

Content Responsible: Anna Frejd(anna.frejd@scilifelab.se)