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The rapid rise of new approach methodologies (NAMs) is reshaping drug development, and organoids are emerging as one of the field’s most promising technologies. With the FDA Modernization Act 2.0 removing the long-standing requirement for animal testing in many drug-development pathways, researchers and industry leaders are increasingly looking toward human-relevant systems that better predict clinical outcomes. Against this backdrop, Corning Life Sciences is positioning itself as a key enabler of the organoid revolution by helping scientists overcome persistent barriers related to complexity, reproducibility, and throughput.
“Corning is helping to overcome challenges to adopting NAMs such as organoid models by providing specialized consumables and reagents that are essential to generating more in vivo-like models,” said Hilary Sherman, senior applications scientist at Corning Life Sciences. Sherman pointed to products including “Corning Matrigel Matrix, Transwell Permeable supports, and a wide variety of specialized plasticware for spheroid and organoid culture” as foundational technologies supporting the transition toward more predictive biological systems.
The push toward NAMs adoption gained further momentum this year when the FDA released draft guidance on alternatives to animal testing in drug development. The agency emphasized that NAMs—including organoids, spheroids, organ-on-chip platforms, and computational models—can improve predictivity while reducing reliance on animal studies.
Those priorities align closely with challenges the organoid field has wrestled with for years. During the GEN virtual event Spotlight on Organoids, Hans Clevers, MD, PhD, an organoid pioneer and distinguished professor at the Hubrecht Institute, stressed that standardization remains one of the field’s biggest hurdles.
“We don’t even have a good definition of what an organoid is,” Clevers said during the GEN virtual event. “When is an organoid an organoid?” He added that “nothing is standardized and nothing is automated,” underscoring the need for scalable workflows that can transition organoid science from exploratory academic research into robust industrial platforms.
Clevers nevertheless remains optimistic about the technology’s transformative potential. “The most important part is we can now grow structures that really represent a small part of the human body,” he said. “Animals are complete organisms, but they’re not humans.” According to Clevers, many diseases—particularly chronic human diseases—are poorly modeled in animals, limiting translational success in drug development.
Corning sees education and workflow optimization as crucial to solving those problems. “Corning feels very strongly about supporting our customers by providing resources to educate scientists on how to create more in vivo-like models that are reproducible,” Sherman explained. “We do this through publishing novel applications, protocols, and webinars.”
The company is also helping researchers streamline increasingly sophisticated organoid workflows. “We have several protocols and optimization guides that educate customers on how to culture organoids to ensure they are set up for success,” Sherman noted. “Additionally, we have many application notes demonstrating different ways of automating organoid assays to give researchers a starting point for their own work.”
Automation and scalability are becoming especially important as organoids move deeper into pharmaceutical pipelines. At the GEN virtual event, Maya Gosztyla, PhD, co-founder and CSO of BrainStorm Therapeutics, described how her company’s platform as “a very high throughput and very scalable and reproducible version of brain organoids.”
Her company is studying CDKL5 deficiency disorder, a rare genetic epilepsy. “The whole reason that we’re doing this work in brain organoids is that the mouse models of CDKL5 don’t recapitulate the symptoms of the disease,” Gosztyla explained.
She believes regulatory changes are accelerating industry confidence in organoid-based drug discovery. “These regulatory shifts have basically allowed drug-discovery companies to show efficacy using an alternative like a brain-organoid model,” Gosztyla said, adding that such systems are “a lot more translational compared to something like a mouse.”
For Corning, helping researchers achieve that translational promise means supporting every stage of organoid adoption—from foundational reagents to reproducible protocols and scalable automation strategies. As NAMs continue gaining regulatory and commercial traction, the ability to standardize organoid workflows might ultimately determine how quickly these human-centric systems become mainstream tools in drug discovery and development.

Learn more www.corning.com.
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