AxoSim partners with preclinical scientists to solve advanced problems

We provide predictive human data that helps toxicologists and discovery scientists make informed decisions as they advance from high-throughput in-vitro assays all the way to IND-enabling studies. AxoSim’s SimLab provides services that help researchers throughout the drug development process.

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Drug candidate selection is currently difficult and imperfect. Animal testing and other preclinical models are too often not predictive in humans. Selecting the wrong candidate can result in major losses of money, time, and resources.

AxoSim’s industry leading biomimetic platforms enable us to work with our clients to apply predictive human data to identify better drug candidates, earlier, more accurately and far more efficiently.

We aim to be your neurology and toxicology partner in advancing your drug development programs.

In a 3d Environment

Need to explore mechanism of action to select a better candidate to progress into in vivo studies? Our Nerve-on-a-Chip® and Mini-Brain are the only models in the industry to provide high levels of physiologically-relevant myelination and we use the exact same metrics used by clinicians to diagnose and track disease progression, nerve conduction velocity and histomorphometry. Our models provide clinically predictive data faster, helping take the guessing out of candidate selection.

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Toxicology

Understand mechanism of action by correlating functional nerve conduction measurements (NCV) and structural histomorphometry.

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Diseases

Study patient derived and genetically modified co-culture models of neurodegenerative diseases where electrical and structural pathology are critical.

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Custom Model

Have you had a clinical candidate show different results across species? Use our human model to make the case for why the accuracy of your candidate should be trusted from a mechanism of action perspective.

In a 2D environment

Need to learn more about your drug candidates’ target activity through advanced neuronal co-culture models? Our team of neuroscientists and biomedical engineers use state-of-the-art cell culture methods to answer your hypotheses faster.

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Microelectrode Array

Characterize functional differences in neuronal activity and network characteristics. Outputs include: firing rate, burst rate, burst duration, interburst interval, and network synchronization.

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High-Content Screening

Explore changes in neurite outgrowth, cell viability, and receptor and protein expression. Metrics include: neurite length, neurite branching, cell density, live/dead, and percent expression.