ISSCR News
The World’s Most Groundbreaking Stem Cell Advances Are Coming to San Francisco for ISSCR 2027
The International Society for Stem Cell Research (ISSCR) today announced that the ISSCR 2027 Annual Meeting is coming back to San Francisco, USA, 15-18 June 2027. Recognized as the premier international forum for stem cell science, the gathering will recognize 25 years of discovery, collaboration, and progress in stem cell science and gather the people, ideas, and work that will shape the next quarter century.
The ISSCR Joins Coalition Letter in Support of the National Institutes of Health (NIH)
The ISSCR joined more than 110 organizations in the cell and gene therapy sector to urge congressional appropriators to provide at least $51.303 billion for the National Institutes of Health (NIH) for fiscal year 2027. This funding level would represent a robust investment in important biomedical research and a meaningful increase over enacted fiscal year 2026 levels. NIH funding remains foundational to the continued advancement of stem cell research. Strong support for NIH will ensure the continued translation of stem cell research into the clinic and to the lives of patients. In addition to the funding request, the letter urges the timely distribution of NIH funding to ensure biomedical research can continue without disruption.
Member Spotlight: Masayo Takahashi, MD, PhD
What I value most about ISSCR is the global, multidisciplinary community. Stem cell science advances quickly, but translation to patients requires shared standards, open discussion, ethical reflection, and international trust.
The ISSCR Releases Summary of Meeting With UK Regulators on the Use of AI to Develop Stem Cell Therapies
The International Society for Stem Cell Research (ISSCR) held its second Broader Scope Scientific Advice meeting with the United Kingdom’s Medicines and Healthcare products Regulatory Agency (MHRA) on October 29, 2025, focusing on the use of artificial intelligence (AI) in developing stem cell therapies.
The session explored key topics including the current state and challenges of AI, machine learning, and digitalization systems for automation in cell and gene therapy; applications of AI in autologous iPSC-derived RPE cell therapy; and AI-based image analysis for in-process characterization and decision-making during iPSC generation.
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