Archives: Agenda
CLOSING PANEL DISCUSSION: How Artificial Intelligence (AI) is powering a new era of cancer drug discovery and development
- Moving from basic functionalities to more meaningful impact and examples of this in practice
- When AI is progressing so quickly, how will regulation evolve to match this speed?
- When is AI not the answer?
- How AI has revolutionised innovative ways of collecting data, biosimulation, and early disease diagnosis for oncology trials
Moderator: Asiyah Nawab, Senior Healthcare Analyst (Immunology Team), GlobalData
THIS SESSION WILL BE IN THE ONCOLOGY CONFERENCE ROOM NEXT DOOR
Navigating oncology trials: From conventional protocols to cutting-edge therapies
- The new era of pharmaceutical compounds
- Regulatory landscape: From traditional IMPs to ATMPs
- Clinical operations: Managing an ATMP study, main challenges
From chaos to clarity: A data-driven CRO selection framework for lean biotechs
- Hear about a pragmatic, data-driven framework developed and piloted at HDP to transform CRO selection from an ad-hoc, relationship-based process into an objective and reproducible model
- Move beyond defaulting to global CROs and instead identify the optimal partner profile for each trial type and region.
- Quantify performance, cost, and quality trade-offs using structured assessment tools and scoring matrices.
- Integrate input from clinical, regulatory, and finance stakeholders to ensure balanced decision-making.
- Embed e-clinical and operational system compatibility checks into the evaluation process to prevent integration failures downstream.
- Align sponsor and CRO incentives early—so that success metrics are shared, measurable, and sustainable.
- Faster onboarding, clearer accountability, and partnerships that foster trust rather than friction
KEYNOTE: Clinical trials in the age of AI – What you’ll discover
- The Clinical Trial Bottleneck and how AI can break this cycle.
- AI as a Full-Lifecycle Catalyst: From protocol design to regulatory submission.
- Recruitment Reinvented: How AI-driven models and molecular matching slash screening times and cut screen failures.
- Smarter Trial Design
- Ethics in the Algorithm Era: Bias mitigation, federated learning for privacy, and transparency frameworks ensuring compliance and trust.
- Blueprint for Implementation: A pragmatic 4-phase roadmap – Foundation, Integration, Scale, Leadership – designed for operational success.
- Future Horizons: Digital twins, foundation models, and quantum computing shaping the next decade of oncology research.
Morning refreshments and networking
CLOSING PANEL DISCUSSION: Why do drugs fail clinical trials?
- Changing how researchers select potential patients for better success rates
- How to improve drug efficacy and patient safety before it’s too late
- Back to square one: Differentiating with simpler, patient-centric protocols and optimised study design
- Avoiding disappointing results by implementing the right technology tools to advance your trial
- Lessons learned to mitigate trial failures
Moderator: Sumeet Ambarkhane, Chief Medical Officer, Pathios Therapeutics
Unlocking the potential of Latin America: Opportunities, partnerships and strategic growth
- Evolving Regulatory Environment: Significant regulatory reforms across Latin American countries aiming to align with international standards (e.g., ICH guidelines)
- Opportunities Arising from Regulatory Changes: Faster approval timelines enabling quicker trial initiation
- Role of Vendors in Fostering Opportunities: Need for vendors to adapt to local regulatory nuances and evolving compliance requirements
- Turning to Latin America for a genetically diverse population, valuable for global clinical research, but also understanding the need for culturally sensitive patient engagement strategies to improve recruitment and retention
Placing fear reduction at the core of the patient experience strategy: Assessing the impact of diminished anxiety and increased sense of control for oncology clinical trials
- Improving the sense of security to reduce unnecessary suffering and distress for patients
- Understanding the different types of patients and their individual response behaviours
- Being hyper aware of cultural differences and biases to ensure sensitivity and effective outcomes for all
- Sharing best practice on effective strategies with case studies and examples to help reduce patient drop out rate
CAR-T Crossroads: Oncology insights driving rare disease innovation
- An overview of CAR-T trial trends in Oncology
- How we can apply regulatory, design, logistical and operational lessons learned to the new wave of CAR-T trials in the rare disease space