Brown University

Biophysical Simulations for Effective Neuropharmacology Treatment: A Market Analysis and Commercialization Strategy for the Human Neocortical Neurosolver

Description

Abstract:
Drug development within the pharmaceutical industry has historically proven to be a challenging feat. Investigational drug trials have a 90% failure rate due to adverse events, dosing, and the drug candidate itself (McKenzie, 2024). When evaluating drug development success in the CNS space specifically, this rate increases with the majority of failures landing in the mid to late stages of development (McKenzie, 2024). In fact, “one study found that between 1995 and 2007, CNS drugs achieved FDA approval at less than half the rate of non-CNS drugs” (McKenzie, 2024). Part of this problem stems from the fact that the mechanisms behind neurological disorders are poorly understood (NCBI, 2014). Neuropharmaceutical companies face challenges with identifying and validating targets, understanding mechanisms of disease, predictive modeling, utilizing biomarkers, identifying clear regulatory pathways, and relying on and reproducing published data during pre-clinical development (Pankevich, 2014). This poses challenges for translational neuroscience research that aims to use fundamental neuroscience concepts for clinical applications and drug development. The Jones lab at Brown University has developed a software, known as Human Neocortical Neursolver (HNN), that utilizes EEG signatures and EEG biomarkers to simulate a biophysical model of a cortical column which can be used for several neurological disorders. Through an ongoing proof-of-concept project funded by the Brown Innovations to Impact Award, a healthy state EEG and a disease-state EEG for Schizophrenia and Fragile X disorder will be simulated while the effects of a mechanistic, circuit-level based treatment will be evaluated to determine if an administered treatment brings the patient’s disease state closer to the healthy state. This thesis report aims to highlight all current proof-of-concept progress and map out a complete commercialization plan for HNN.
Notes:
Thesis (Sc. M.)--Brown University, 2025

Citation

Hohil, Adrianna Adela, "Biophysical Simulations for Effective Neuropharmacology Treatment: A Market Analysis and Commercialization Strategy for the Human Neocortical Neurosolver" (2025). Biology and Medicine Theses and Dissertations, Biotechnology. Brown Digital Repository. Brown University Library. https://repository.library.brown.edu/studio/item/bdr:a5zwrn5j/

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