Open Mic: Next in Health series

Artificial intelligence (AI) is rapidly transforming the landscape of oncology – from the earliest stages of drug discovery to the realities of clinical care.

In this edition of Open Mic: Next in Health, we invite you to explore this evolving frontier through a multidisciplinary panel discussion featuring experts from data science, computational biology and clinical oncology.

Together, we’ll trace the journey of innovation across three critical domains:

• Multimodal drug discovery: How AI is accelerating the identification of novel therapeutic targets and compounds by integrating diverse data types.
• Clinical trial optimization: How machine learning is being used to design smarter trials, improve patient stratification, and reduce time to insight.
• Clinical integration: How hospitals are adopting AI-driven tools to support oncologists in diagnosis, treatment planning, and personalized care delivery.

Expect a candid and forward-looking conversation on the opportunities, challenges and ethical considerations of embedding AI into the oncology pipeline – from bench to bedside.

In addition, for this edition of Open Mic, four startups from our DayOne Accelerator 2025 cohort that are working to develop innovative solutions in this space will be onsite:

• Areltys: developing a digital platform to facilitate access to innovative cancer treatments, particularly to Radio-Ligand Therapy (RLT), in routine care and clinical research
• Nanolynx Biologics: developing conditionally active nanobody-drug conjugates (smart NDCs) targeting treatment-resistant cancers
• Parithera: enabling single-cell RNA sequencing directly from whole blood
• StratifAI: developing the next generation of predictive biomarkers

They are looking forward to presenting their ideas to you – check their stands out in the Pavillon foyer!

Whether you’re a healthcare innovator, clinician, researcher or policymaker, this session will offer valuable insights into what’s next in cancer care. Register early to avoid missing out!

Participation is free; however, registration is required before 8 Sep 2025 (onsite).