Reimagining what it means to deliver truly personalised care in the next decade.

This Flagship Nature Conference explores what it takes to embed precision approaches into real-world clinical practice and health systems.

If you work with multi-omics, artificial Intelligence, clinical data or health policy, or if you are responsible for delivering care, this conference gives you space to step back, compare experiences, and define the next decade of personalised health.

Top reasons to attend

Understand

how multi-omics, artificial intelligence and big data are being combined to drive real-time, personalised decisions in the clinic.

Explore

case studies where biomarkers, early detection and targeted therapies are reshaping care across oncology, neurology, immunology, nutrition and more.

Discuss

policy, regulatory and ethical frameworks needed to scale precision medicine responsibly.

Uncover

how digital epidemiology, real-world data and patient-reported outcomes can complement traditional clinical evidence.

Learn

practical approaches to tackling algorithmic bias, data gaps and under-representation in global cohorts and biobanks.

Connect

with leaders from across the Nature Portfolio community and beyond to build new collaborations.

Who you will meet:

  • Academics, Academics, Academics, Academics

    Academic and clinical researchers across omics, AI, epidemiology and clinical sciences

  • Clinicians,Clinicians,Clinicians,Clinicians

    Clinicians and healthcare professionals shaping care pathways and treatment decisions

  • Policy,Policy,Policy,Policy

    Policy makers, regulators and public health leaders designing frameworks for precision health

  • Biotech,Biotech,Biotech,Biotech

    Industry leaders from biotech, pharma, diagnostics, digital health and AI

  • Data scientists,Data scientists,Data scientists,Data scientists

    Data scientists, bioinformaticians and engineers building platforms and tools

What you’ll take away:

A sharper view of where precision medicine is heading

Hear how multi-omics, artificial Intelligence and big data are converging in the clinic, from early detection and risk prediction to targeted therapies and monitoring.

Practical insights on implementation, not just innovation

Learn from case studies that show what works, what does not and what is needed to move beyond pilots and proof-of-concept projects.

A deeper understanding of equity, bias and inclusion

Explore how global biobanks, diverse cohorts and fair artificial Intelligence models can support more robust and inclusive precision health.

Clarity on policy, governance and ethics

Discuss frameworks for responsible artificial Intelligence in medicine, data governance and regulation, with perspectives from researchers, clinicians and policy makers.

Connections across disciplines and sectors

Meet experts from academic research, clinical practice, industry, data science and public health who are all working on the same challenge: making precision medicine usable and sustainable at scale.

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