PATIENT ADVOCATE PERSPECTIVE: The Impact of Patient Networks on EPP Care: Insights from the International Porphyria Patient Network and EPP Austria

  • Role of patient organisations in EPP and rare diseases
  • Why early and meaningful engagement matters
  • Common challenges (power imbalance, tokenistic involvement)
  • Best practice principles for collaboration (transparency, co-creation, fair compensation)
  • Case examples: IPPN and EPP Austria influencing clinical pathways and policy
  • Key recommendations for pharma partnerships

PANEL DISCUSSION: Overcoming sites’ reluctance to run trials in rare disease indications

  • When resources are tight, how can rare disease trials beat the coemption and win sites over
  • Incentivising sites to run orphan trials
  • Balancing patient, site, CRO and investor priorities in your trial design
  • How can CROs help the phenomenon, and enable rare disease patients to access the appropriate sites
  • Proving to sites the ROI in running rare disease trials

KEYNOTE: Funding, investment and budgeting for clinical trials: Sharing best practices to ensure trial success for small/ medium pharma and biotechs

  • Ensuring your trial is both cost-conscious and efficient without compromising on quality and patient safety
  • Why financial accruals for clinical and R&D processes are still so challenging despite years of work to alleviate these obstacles
  • Strategies for cost-effective budget allocation to maintain long-term financial health and positive ROI
  • Avoiding common mistakes to keep your clinical trial budget on track
  • Supporting startups: Tackling investor’s lack of willingness to invest in smaller biotechs

The AI-First Protocol in Rare Diseases: Accelerating Research for the Few Who Need It Most

Rare-disease trials face unique challenges – small patient populations, dispersed sites, and limited data. This session explores how AI-first protocol design transforms feasibility and speed in rare-disease research, enabling smarter, patient-centric, and regulator-ready studies from day one. Key Takeaways:

  • How AI-first protocols reduce amendments and time-to-first-patient in small-population studies
  • Using real-world and registry data to simulate feasibility and optimize site selection
  • Building adaptive, patient-centric designs aligned with EMA and FDA expectations
  • Integrating AI into cross-functional workflows — from clinical to regulatory teams
  • Case examples showing measurable acceleration and cost savings in rare-disease trials