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
    (Clinical View)
    Carole Gilling-Smith
  • The AI Inflection Point in Fertility: What Works, What Does Not, and What Is Missing
    (Embryology View)
    Nikica Zaninovic
  • The AI Inflection Point in Fertility: What Works, What Does Not, and What Is Missing
    (Entrepreneurial View)
    David Sable
  • The AI Inflection Point in Fertility: What Works, What Does Not, and What Is Missing
    (Data Specialist View)
    Cecilie Jakobsen
  • Panel led Discussion

10:00-10:30 Coffee Break


10:30-12:30 From Buzzword to Strategy chaired by Hyejun Lee

  • Cutting through the hype to reveal what is easy and what is hard and how to spot real AI opportunities. Why AI initiatives fail, how to integrate AI successfully, and the key decisions that will shape your organisations future
    Eduardo Hariton
  • Building an AI-First Fertility Clinic: Lessons from the Front Line from the UK
    Cristina Hickman
  • From buzzword to business strategy
    • The American Perspective (Part 1)
      David Stern
    • The Asia-Pacific Perspective (Part 1)
      Margaret Wang
    • The Asia-Pacific Perspective (Part 2)
      Hyejun Lee
    • The Indian Perspective
      Vinesh Gadhia
    • The Latin American Perspective
      Chris Rego
    • The Middle East Perspective
      Eduardo Gonzalez
  • Panel led Discussion

13:10-14:10 Lunch


14:10-17:00 Automatic, Clean Data, safely stored chaired by Alejandro Chavez Badiola

  • Conceivables: Validating automation with live births
    Alejandro Chavez Badiola
  • Automating egg collections to improve outcome
    Bars Mutlu
  • SAMA: automating the front office
    Santiago Munne
  • Zero Error IVF: RFID and Barcoding for Absolute Data Integrity
    Mahb Rahman
  • Automating KPIs in the Lab: Using RFID to Turn Workflow into Intelligence
    David Chrimes
  • Cryostorage in the Age of Robotics: Automation, Traceability, and Risk Reduction
    Cynthia Hudson
  • Cybersecurity in Fertility Clinics: Protecting the Most Sensitive Data in Healthcare
    Chloe He
  • Agentic AI: Boosting productivity, elevating employee performance and optimising customer experience
    Fernando Koch
  • AI-driven communication agents to improve patient engagement and operational efficiency
    Meena Mahil
  • Implementing an AI copilot with patient facing avatar
    Sergei Gorlovetsky
  • Panel led Discussion

08:00-10:00 Oocyte AI assessment chaired by Daniela Braga

  • AI-derived oocyte score as a biomarker influenced by lifestyle factors
    Gabriela Halpern
  • AI-derived oocyte scores to evaluate overnight rescue IVM
    Maite del Collado
  • AI-derived oocyte score as a biomarker influenced by paternal age
    Edson Borges Jr
  • AI-derived oocyte cohort architecture predicts clinical outcome
    Amanda Setti
  • AI-derived oocyte cohort metrics across oocyte yield strata in freezeall cycles
    Renata Ferreira
  • Factors affecting AI-derived oocyte metrics
    Assunto Iaconelli Jr
  • Comparative machine learning algorithms for predicting embryo ploidy based on sperm DNA fragmentation
    Abraham Zavala-Garcia
  • AI-derived oocyte scores improved with recombinant LH supplementation
    Daniela Braga
  • Panel led Discussion

10:00-10:50 Responsible Clinical Validation of AI in Fertility chaired by Teodora Popa

  • Debate: RCTs vs Other forms of validation
    Ying Cheong vs Rabi Obdia
  • From Idea to Impact: Designing Research That Survives Peer Review-The Academic challenges
    Iman Hajirasouliha
  • From Publication to Co-Founder: When Research Becomes a Company – Founder Challenges
    Andrew Drakeley
  • Clinical Validation and Adoption of AI: What Determines Success or Failure
    David Silver
  • From Prototype to Practice: Technical Validation in Real-World IVF Settings
    Jonas Mamlmstein
  • A Practical Framework for AI Validation in Fertility Medicine: The AIFS Consensus
    Teodora Popa
  • AI-derived oocyte scores improved with recombinant LH supplementation
    Daniela Braga
  • Panel led Discussion

10:50-11:20 Coffee Break


11:20-13:20 Advanced Imaging and Bio-engineering chaired by Daria Illiev

  • Beyond Brightfield: The Next Generation of Embryo Visualisation
    Diego Marin
  • Seeing the Unseen: Holotomography and the Future of Cell Imaging
    Daria Illiev
  • The Global Adoption Gap in Time-Lapse IVF: What Is Really Limiting Uptake? What can AI implementation learn from this
    Serdar Coskun
  • Hyperspectral Imaging: Unlocking Biochemical Signals Without Touching the Embryo
    Samuel Ojos Negros
  • FLIM based metabolic imaging of blastocysts to predict ploidy
    Kaveh Azartash
  • 3D microscopy combined with AI
    Paul Balondrade
  • Sperm identified and selected using AI assistance resulted in improved outcome
    Saeed Fathi
  • AI use of natural language to describe embryo morphology
    Florian Kromp
  • Advancing Gynaecological ultrasound through automation
    Helen O’Neill
  • Panel led Discussion

13:20-14:20 Lunch


14:20-17:10 Advanced Imaging and Bio-engineering chaired by Dan Nayot

  • Randomised Controlled Trials in AI: What the Data Really Shows (The Fairtility Experience)
    Tom Wilkinson
  • Sperm Intelligence: Turning Sperm Data into Actionable Decisions
    Halil Ruso
  • Egg Intelligence: Turning Oocyte Data into Actionable Decisions
    Dan Nayot
  • AI-derived scores demonstrate that most women cryopreserve insufficient oocytes to preserve their fertility
    Daniela Braga
  • Smarter Clinics, Better Outcomes: Using AI to Optimise IVF Operations
    Rohi Hourvitz
  • Measuring the Invisible: Data-Driven Monitoring of Stress and Physiological Load in Fertility Care
    Paulina Valpas
  • Digital Genetics with PGT-P: Enhancing Genetic Assessment beyond PGT-A and PGT-M
    Tobias Wolfram
  • Making Reproductive Surgery Smart
    Aleksandra Goch
  • Sperm Selection using AI and Robotic Technologies
    Betty Meiri
  • AI assisted prediction of frozen embryo transfer outcome based on hormone profiles
    Ihor Pachkiv
  • AI assisted identification of poor responders who would benefit from dual stimulation
    Ihor Pachkiv
  • AI assisted prediction system to predict reproductive pathologies
    Helen O’Neill
  • Panel led Discussion

17:10-18:00 Closing Session

  • From resistance to readiness: Helping Healthcare teams and patients embrace AI for better care
    Elizabeth Grill
  • AI, Fertility, and Society: AI as a sustainable tool to humanitarian healthcare
    Kazem Nouri

18:00-18:10 Conference Summary and Close 

  • Nikica Zaninovic
  • Zev Rosenwaks
  • Cristina Hickman

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