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Pilot Insights

SPARC conducts seven pilot programs focusing on different cancer types, clinical environments, and diagnostic challenges. These pilots support real-world adoption of personalised oncology.

Pilot Cancer Focus Areas

Lung Cancer
Exploring genomic profiling, liquid biopsy assessment, and AI-based interpretation for complex mutations and resistance mechanisms.
Breast Cancer
Evaluating personalised treatment pathways, including multi-gene signatures, targeted therapies, and real-world integration of advanced diagnostics.
Pancreatic Cancer
Improving early detection and molecular classification to enable more precise and timely therapeutic decisions.
Melanoma
Strengthening mutation detection workflows, digital pathology integration, and fast-track reporting to MTBs.
Haematological Cancers
Assessing genome-guided therapy pathways and expanding the use of molecular technologies in blood cancers.
Neuroblastoma & Pediatric Oncology
Supporting advanced diagnostics and cross-border consultation for rare childhood cancers.
Adrenocortical Carcinoma & Rare Tumours
Improving access to expert review and molecular testing in low-volume, high-complexity cancer types.

What the Pilots Demonstrate

1
Improved Diagnostic Pathways

Pilots show how integrating NGS, liquid biopsy, and AI tools leads to:

  • Faster identification of actionable biomarkers
  • More comprehensive tumour profiling
  • Enhanced tumour mutation detection
  • Better integration between laboratory and clinical teams
2
Stronger Molecular Tumor Boards

Pilots demonstrate:

  • More structured case presentations
  • Greater participation of multidisciplinary experts
  • Flexible virtual collaboration
  • Clearer treatment recommendations

This harmonised approach supports more confident clinical decision-making.

3
Better Patient Pathways

Pilots focus on:

  • Reducing fragmentation between diagnostic steps
  • Increasing transparency for patients
  • Improving clinical referral pathways
  • Ensuring more rapid therapeutic intervention
4
Real-world Lessons

Across pilots, several common insights emerge:

  • Personalised medicine requires strong coordination between departments
  • Digital infrastructures are essential for sharing molecular data
  • Staff need continuous upskilling to work with complex diagnostics
  • Patient communication must be clear, supportive, and tailored