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Modeling Human Development: Gene Networks, Organoids, and AI Tools

Modeling Human Development: Gene Networks, Organoids, and AI Tools

An ISSCR Webinar

Program Description: Join us for a special webinar featuring the ISSCR AI and Digital Biology Symposium Poster Award Winners as they share their award-winning research. Discover innovative approaches using high-throughput models, AI, and computational biology to advance our understanding of human development. Hear from rising leaders and stay at the forefront of stem cell science. 

Register Now

The webinar will take place on 26 February 2026 at 4:00 p.m. - 5:00 p.m. EST
View when the webinar is happening in your time zone.

Registration Details


  • Registration for this webinar is open to all audiences.

    • As an ISSCR member benefit, members are invited to register at no cost.

    • The registration fee for non-members is $150.00 USD.

    • Non-members from countries identified by the World Bank as "low- and low-middle income countries"
      receive a 50% reduction on registration rates. Eligible countries can be found
      here.

  • Registration will close 3 hours prior to the beginning of the webinar

  • The webinar will be hosted via Zoom. Registrants will receive an email reminder with the webinar link one day, and one hour prior to the event.


Moderator

Christina Theodoris, MD, PhD

 

Presenters

Zejun Fan

King Abdullah University of Science and Technology (KAUST), Saudi Arabia

Mo Li Lab

Poster Title: DEEPBLASTOID: A DEEP LEARNING-BASED HIGH-THROUGHPUT EVALUATION FOR HUMAN BLASTOIDS USING BRIGHTFIELD IMAGES

Weiqi Lyu

University of California, San Diego; Altos Labs Inc., USA

Prashant Mali Lab

Poster Title: INFERRING TRANSCRIPTION FACTORS DRIVING CELL FATE DECISIONS IN EARLY-STAGE HUMAN DEVELOPMENT USING TERATOMA AS A MODEL

Janice Reid, PhD

QIMR Berghofer, Australia

James Hudson Lab

Poster Title: DEVELOPING CARDIAC-SPECIFIC PERTUBATION DATASETS FOR ML/AI-GUIDED CARDIAC DRUG DISCOVERY

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PSC-Derived Therapies Symposium

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Summit on Access and Affordability in Cell and Gene Therapies