Hotel Cascais Miragem, Portugal
September 25-27, 2026

*Please note that all times are still subject to change.

08:00-10:00 WELCOME SESSION chaired by Zev Rosenwaks

  • Inside the IVF Clinic Bottleneck: Structural Barriers to Better Outcomes The AI Inflection Point in Fertility: What Works, What Does Not, and What Is Missing
  • Chair Welcome
    Cristina Hickman
  • Clinical View
    Carole Gilling-Smith
  • Embryology View
    Nikica Zaninovic
  • Entrepreneurial View
    David Sable
  • Data Specialist View
    Cecilie Jakobsen
  • Panel led Discussion

10:00-10:30 Coffee Break


10:30-11:40 SESSION 2: chaired by Cristina Hickman
                        AI: from Buzzword to Business Strategy

  • Asian Perspective
    Hyejun Lee
  • Latin American Perspective
    Chris Rego
  • Indian Perspective
    Vinesh Gadhia
  • Middle Eastern Perspective
    Eduardo Gonzalez
  • Panel led Discussion

11:40-12:10 SESSION 3: chaired by Andrew Khair
Ferring Symposia

  • The AI Roadmap for Fertility Clinics: From Hype to Value
    Eduardo Hariton
    Imran Akram

12:10-13:00 SESSION 4: chaired by Nikica Zaninovic
Debate: RCT is the best way to evaluate AI

  • Audience Vote
  • For
    Ying Cheong
  • Against
    Rabi Odia
  • Audience Questions
  • For rebuttal
    Ying Cheong
  • Against Rebuttal
    Rabi Odia
  • Audience Vote

13:00-14:00 Lunch


14:00-15:10 SESSION 5: chaired by Chloe He
AI: Healthcare implementation challenges

  • Challenges of implementing an AI-First Fertility Clinic: Lessons from the Front Line from the UK
    Cristina Hickman
  • From Idea to Impact: Designing Research That Survives Peer Review – The Academic challenges
    Iman Hajirasouhila
  • Integration challenges in the real world IVF clinic
    Jonas Malmsten
  • Cybersecurity in Fertility Clinics: Protecting the Most Sensitive Data in Healthcare
    Chloe He
  • Panel led Discussion

15:10-15:40 Coffee break


15:40-17:10 SESSION 6: chaired by Halil Ruso
AI: Gamete Assessment

  • Using AI-derived oocyte metrics and how they are influenced by other factors
    Amanda Setti
  • Understanding how AI-derived oocyte metrics predict outcome
    Daniela Braga
  • Egg Intelligence: Turning Oocyte Data into Actionable Decisions
    Dan Nayot
  • Sperm Selection using AI and Robotic Technologies
    Betty Meiri
  • Sperm Intelligence: Turning Sperm Data into Actionable Decisions
    Halil Ruso
  • Sperm identified and selected using AI assistance resulted in improved outcome
    Saeed Fathi
  • Panel led Discussion

17:30 Sunset welcome drinks – Meet at Hotel reception

08:15-09:40 SESSION 7: chaired by Semra Kahraman
AI: Embryo Assessment

  • Consistency in Embryo Ranking
    Jorgen Berntsen
  • Reducing cost to baby with AI embryo assessment
    Semra Kahraman
  • The Global Adoption Gap in Time-Lapse IVF: What Is Really Limiting Uptake? What can AI implementation learn from this
    Serdar Coskun
  • Cybersecurity in Fertility Clinics: Protecting the Most Sensitive Data in Healthcare
    Toni di Berardino
  • Panel led Discussion

09:40-11:00 SESSION 8: chaired by Daria Iliev
Advanced Imaging and Bio-engineering

  • Seeing the Unseen: Holotomography and the Future of Cell Imaging
    Daria Iliev
  • Hyperspectral Imaging: Unlocking Biochemical Signals Without Touching the Embryo
    Samuel Ojos Negros
  • FLIM based metabolic imaging of blastocysts to predict polidy
    Liesl nel Themaat
  • 3D microscopy combined with AI
    Paul Balondrade
  • AI use of natural language to describe embryo morphology
    Florian Kromp
  • Panel led Discussion

11:00-11:30 Coffee Break


11:30-13:00 SESSION 9: chaired by Dan Nayot
AI for clinicians

  • Digital Genetics with PGT-P: Enhancing Genetic Assessment beyond PGT-A and PGT-M
    Tobias Wolfram
  • AI assisted identification of poor responders who would benefit from dual stimulation
    Ihor Pachiv
  • Smarter Clinics, Better Outcomes: Using AI to Optimise IVF Operations
    Rohi Houvitz
  • Making Reproductive Surgery Smart
    Aleksandra Goch
  • Measuring the Invisible: Data-Driven Monitoring of Stress in Fertility Care
    Paulina Valpas
  • Advancing Gynaecological ultrasound through automation and AI assisted prediction system to predict reproductive pathologies
    Helen o’Neill
  • Panel led Discussion

13:00-14:00 Lunch


14:00-15:20 SESSION 10: chaired by Daniella Gilboa
AI: Embryo Assessment

  • SAMA: automating the front office
    Santiago Munne
  • Implementing an AI copilot with patient facing avatar
    Sergei Gorlovetsky
  • Automating KPIs in the Lab: Using RFID to Turn Workflow into Intelligence
    David Chrimes
  • From data to intelligence
    Domantas Armonavicius
  • Panel led Discussion

15:20-16:40 SESSION 11: chaired by Gaurav Singhal
Robotics & Automation

  • Conceivables: Validating automation with live births
    Alejandro Chavez Badiola
  • Automating egg collections to improve outcome
    Bars Mutlu
  • Cryostorage in the Age of Robotics: Automation, Traceability, and Risk Reduction
    Cynthia Hudson
  • Structured Data and Agentic AI
    Gaurav Singhal
  • Panel led Discussion

16:40-17:15 SESSION 12: chaired by Cristina Hickman
Closing Session

  • From resistance to readiness: Helping Healthcare teams and patients mbrace AI for better care
    Elizabeth Grill
  • AI in IVF: the missing piece of the regulatory puzzle
    Christine Allen
  • AI, Fertility, and Society: AI as a sustainable tool to humanitarian healthcare
    Kazem Nouri
  • Conference summary and close
    Cristina Hickman
    Nikica Zaninovic
    Zev Rosenwaks

17:30 Beach Activities – Meet at Hotel reception

08:00-12:00 Consensus statement on the responsible integration of AI in fertility clinical practice