Exploring Novel Alternative Methods for Brain Aging and Neurodegeneration Research

The National Institute on Aging is opening registration for a free virtual workshop on September 10–11, 2026, focused on how Novel Alternative Methods — 3D organoids, microphysiological systems, iPSC-derived and directly reprogrammed neurons, and computational tools including AI and machine learning — are reshaping research into brain aging and Alzheimer's disease and related dementias. For laboratories that track how neural circuits wire, refine, and decay, the timing matters: the same model systems increasingly sit at the center of how neurodegeneration is visualized, quantified, and translated into mechanistic insight.

The Model Question

According to the NIA announcement, the two-day session runs from 11:00 a.m. to 3:30 p.m. ET and builds directly on a 2022 NIA meeting that mapped persistent gaps in modeling brain aging and AD/ADRD. That earlier gathering flagged where traditional approaches underperform — limited human relevance, poor recapitulation of aging biology, sparse longitudinal readouts — and shaped subsequent funding priorities. The upcoming workshop returns to those gaps with a sharper toolbox.

The agenda opens with a keynote from Fred "Rusty" Gage of The Salk Institute, whose work on neural plasticity and diversity in human brain cells has long framed how we think about modeling cognition in a dish. Four scientific sessions follow, covering the spectrum from in vitro models to in silico prediction.

What the Workshop Will Map

The NIA frames NAMs as a complement to, not a replacement for, existing research pipelines. Organoids offer layered cortical-like architecture; microphysiological systems introduce flow and mechanical cues; iPSC-derived and directly reprogrammed cells allow patient-specific interrogation of genotype-to-phenotype pathways. Layered on top, computational tools can extract signal from existing datasets — something relevant for any group sitting on years of imaging or electrophysiology recordings they have not fully exploited.

For zebrafish researchers in particular, the workshop's emphasis on cross-model triangulation is worth tracking. Transparent larvae have given the field a window onto circuit assembly in real time; what NAMs offer is a parallel window onto human-relevant aging trajectories. The two views, combined, could clarify which features of circuit breakdown are conserved across species and which are human-specific.

A Practical Principle to Carry Forward

The takeaway for any lab working at the level of synapses and circuits: audit where your current model answers the question you are actually asking. Organoids capture architecture but flatten connectivity over time. iPSC-derived neurons offer genotype fidelity but lose endogenous network context. Computational layers can compensate — but only when the training data reflects the biology you care about. The workshop is an opportunity to pressure-test that audit against what the broader community now considers state of the art.

Registration is free; inquiries can be directed to Dr. Megan Duffy at the NIA.