PANEL DISCUSSION: Battling insufficient resources to allow your trial to succeed in an increasingly competitive landscape

  • Battling site competitiveness to reduce delays on study start-up: what can you do differently to tackle these operational challenges?
  • When there are immense pressures on the trial ecosystem, how can we build quality and ensure quantity in an innovative way
  • Developing an optimized strategy as a small to medium-sized biotech with limited resources to stay afloat
  • Discussing the importance of protocol optimization and specialized statistical support to reduce the pressure on sites and relieve bottlenecks

Chair: Susan Edelstein, PhD, SVP, Clinical Research, Ardelyx

Innovating with data in life sciences

Data plays an increasingly critical role in the age of AI in life sciences. Using data and AI effectively can help:

  • accelerate research & development by making new and larger data points easily accessible
  • optimize trial design and enrolment by analyzing population and patient characteristics
  • improve manufacturing efficiency and commercialization

PANEL DISCUSSION: Is clinical trial exclusion criteria too stringent?

  • How is the industry approaching diversity and what should the primary focus be?
  • Increasing accessibility to trials whilst simultaneously maintaining an appropriate level of patient safety
  • Assessing the link between restrictive eligibility criteria and rates of serious adverse events to make informed decisions on expanding exclusion conditions
  • Alternative solutions to improve patient numbers amidst pressures to hit recruitment milestones
  • How have increased pressures of patient recruitment lead to the questioning of traditional enrollment methods?

Chair: Cathy Scharf, Patient Advocate, Patient Advocates of the East Bay