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Events  |  Medidata NEXT NY 2026

Meet Koneksa at Medidata NEXT New York 2026

Koneksa leaders will be onsite at Medidata NEXT New York 2026, connecting with sponsors and partners focused on smarter measurement strategy, data integration, and generating decision-ready evidence within the Medidata ecosystem.

Advancing Measurement Strategy Within the Medidata Ecosystem

Medidata NEXT New York brings together leaders across pharma, biotech, CROs, and technology to explore how data, platforms, and analytics are shaping the future of clinical development. With a focus on the Medidata ecosystem, including trial operations, data management, analytics, and AI-enabled workflows, NEXT New York highlights how modern trials must operate as connected, learning systems rather than disconnected functional handoffs.

These challenges align directly with Koneksa’s role as a measurement science partner. We work alongside Medidata-based workflows to help sponsors and CROs design fit-for-purpose measurement strategies, integrate digital and traditional endpoints, and generate interpretable, regulatory-ready evidence during trial execution.

 

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Contact us

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Please Fill Out this Form to Schedule a Meeting

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At Medidata NEXT New York, Koneksa leaders will engage with peers on how stronger measurement design, tighter operational integration, and execution-time insight can improve signal clarity and accelerate learning across programs.

Meet with Koneksa Leaders at
Medidata NEXT New York 2026

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Marc Siladi
  • LinkedIn

Chief Operating Officer​

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Michael Mendoza
  • LinkedIn

Senior Vice President, Biometrics + Data Science

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Susan McGinnes
  • LinkedIn

Global Head, Data Management

Topics we’re discussing:

Connect with Koneksa to discuss how measurement strategy and integrated biometrics can strengthen Medidata-enabled trial execution and decision-making.

  • Measurement strategy for Medidata-based trials

  • Integrating digital and traditional endpoints within existing platforms

  • Biometrics and analytics for earlier signal clarity

  • Managing variability in longitudinal and real-world data

  • Regulatory-ready evidence generation during execution

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