02315nas a2200373   4500000000100000000000100001008004100002653001500043653002700058653002900085653002100114653002100135100001900156700002800175700002300203700002500226700002300251700002000274700001700294700002500311700001500336700002100351700002500372700002300397700001700420700001400437700001700451245014600468856006700614300001100681490000800692520122700700022001401927                                       d10aAutomation10ablood vessel-on-a-chip10ahigh-throughput modeling10avascular biology10avascular disease1 aDawn S. Y. Lin1 aHanieh Mohammad Hashemi1 aKimia Asadi Jozani1 aAnushree Chakravarty1 aSonya Kouthouridis1 aJessica Bonanno1 aNicky Anvari1 aShravanthi Rajasekar1 aFeng Zhang1 aRichard Y. Cheng1 aNarendra Kumar Singh1 aLuis Miguel Medina1 aMarc Durante1 aYufang He1 aBoyang Zhang00aAutomating Vascular Biology: An End-to-End Automated Workflow for High-Throughput Blood Vessel-on-a-Chip Production and Multi-Site Validation  uhttps://onlinelibrary.wiley.com/doi/abs/10.1002/adhm.202504933  ae049330 vn/a3 aThere is a growing demand for automated organ-on-a-chip platforms that are compatible with off-the-shelf robotic liquid-handling systems and plate readers to improve reproducibility and scalable analysis. In this work, we present an end-to-end automated method for fabricating tubular blood vessel models at scale using a custom 384-well open-top platform (AngioPlate384), designed to support integration with liquid-handling systems and large-scale analysis. Our approach enables the generation of over 100 perfusable blood vessels fully embedded in hydrogel and supported by stromal cells (fibroblasts and pericytes), allowing both luminal and interstitial flow. Using this platform, we demonstrated that stromal co-culture significantly enhances vascular barrier function, and results in an altered response to chemotherapeutics and to inflammatory stressors. This platform offers a robust and scalable approach to generating customizable blood vessel-on-a-chip models for vascular biology studies, disease modeling, and preclinical testing. Its compatibility with automation and standardized workflows positions it as a powerful tool to accelerate the adoption of microphysiological systems in pharmaceutical research.  a2192-2659