Nervous system

Jade Admiraal, Promise O. Emeh, Marleen Bokkers, et al. Building the blood-brain barrier: a scalable self-assembling 3D model of the brain microvasculature under unidirectional flow. Fluids and Barriers of the CNS. 2026;23(1):29. doi:10.1186/s12987-026-00765-x

Nozomu Takata, Zhiwei Li, Anna Metlushko, et al. Injury and therapy in a human spinal cord organoid. Nature Biomedical Engineering. 2026:1-14. doi:10.1038/s41551-025-01606-2

Andrew N. Shen, Katelin S. Matazel, W. Drew Gill, Lorna Ewart, Randy S. Daughters, Hector Rosas-Hernandez. Modeling neurovascular dysfunction in Alzheimer’s disease using an isogenic brain-chip model. Fluids and Barriers of the CNS. 2026;23(1):1. doi:10.1186/s12987-025-00708-y

Ami Mehta-Doshi, Blake L. Tsu, Consuelo Sauceda, et al. Age-dependent neuroinflammatory effects of red blood cells and their exosomes in a human brain-on-chip model. Blood Red Cells & Iron. 2026;2(1):100044. doi:10.1016/j.brci.2025.100044

Sathish Selvam, Roberta S. Dos Reis, Marc C. E. Wagner, et al. Vascularized human brain organoids as a model of the brain–peripheral axis in HIV-1 neuropathogenesis. Scientific Reports. 2026. doi:10.1038/s41598-025-33940-5

Matthew Price, Francesca Pistollato. Beyond the amyloid hypothesis: leveraging human-centered complex in vitro models to decode Alzheimer’s disease etiology. Frontiers in Toxicology. 2026;7. doi:10.3389/ftox.2025.1753572

Deepti Lall, Michael J. Workman, Samuel Sances, et al. An organ-chip model of sporadic ALS using iPSC-derived spinal cord motor neurons and an integrated blood-brain-like barrier. Cell Stem Cell. 2025;32(7):1139-1153.e7. doi:10.1016/j.stem.2025.05.015

Hyehyun Kim, Gregory Girardi, Allison Pickle, Testaverde S. Kim, Erkin Seker. Microfluidic tools to model, monitor, and modulate the gut–brain axis. Biomicrofluidics. 2025;19(2):021301. doi:10.1063/5.0253041

Dowlette-Mary Alam El Din, Leah Moenkemoeller, Alon Loeffler, et al. Human neural organoid microphysiological systems show the building blocks necessary for basic learning and memory. Communications Biology. 2025;8(1):1237. doi:10.1038/s42003-025-08632-5

Kai Cheng, Autumn Williams, Anannya Kshirsagar, et al. Machine learning-enabled detection of electrophysiological signatures in iPSC-derived models of schizophrenia and bipolar disorder. APL Bioengineering. 2025;9(3):036118. doi:10.1063/5.0250559