Demonstrate how AI-driven initiatives - like predictive modelling and automated inspection -translate into measurable outcomes (e.g., defect reduction, shorter batch release cycles) that justify capital investment and cross-functional prioritization

• Leveraging tech and epidemiological data to reduce diagnostic delays in reproductive health.
• Exploring AI, biomarkers, digital therapeutics, and digital platforms that enable earlier and more accurate diagnoses.
• Advice to start-ups and sharing the market opportunity for clinical integration in preventative & diagnostic women’s health.

• Discussing the emerging trends of women’s health education & awareness on social media.
• How companies can best utilize social media for marketing & business opportunity.
• Addressing misinformation, trust and health literacy impacting health & wellness decision-making.

Gain actionable strategies for embedding AI and large language models into portfolio decision making, accelerating timelines while ensuring data quality and compliance

Developing a mechanistic model of IVT to include nucleation and growth of magnesium pyrophosphate crystals and subsequent agglomeration of crystals and DNA

Hear cross-functional perspectives on successfully implementing AI across process development teams, from aligning with quality, IT, and manufacturing to overcoming cultural and technical barriers, with a focus on driving operational efficiency and long-term value