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.
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.
Monoculture and Co-Culture Models
Learn more about your drug candidates’ target activity through our advanced neuronal monoculture and co-culture models which are customizable based on your specific goals. Our team of neuroscientists and biomedical engineers use state-of-the-art cell culture methods to answer your hypotheses faster. Additionally, Microelectrode Array and High-Content Imaging are available. Microelectrode Array characterizes functional differences in neuronal activity and network characteristics. Outputs include: firing rate, burst rate, burst duration, interburst interval, and network synchronization. High-content imaging explores changes in neurite outgrowth, cell viability, and receptor and protein expression. Metrics include: neurite length, neurite branching, cell density, live/dead, and percent expression.
NerveSim™ and BrainSim™
Need to explore mechanism of action to select a better candidate to progress into in vivo studies? Our NerveSim™ , powered by Nerve-on-a-Chip® and BrainSim™ 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.