Research Showcase
Explore our innovative research in neuroscience, focusing on neurological disorders and advanced diagnostic techniques.
Computational Neuroscience
Our team collaborates with leading research institutions to advance understanding and treatment of neurological disorders.
Downregulation of KRT proteins in the Neuroendocrine System of Amyotrophic Lateral Sclerosis with PT150 as a Multi-Target Neuroprotectant
Amyotrophic Lateral Sclerosis (ALS) is a neurodegenerative disease characterized by motor neuron degeneration. Although ALS biomarkers exist, they lack specificity and early-onset. ALS also has a 40% misdiagnosis rate. This paper proposes the use of a Graph Neural Network (GNN) to diagnose ALS, an ALS-specific biomarker group, and a therapeutic based on this group. Gene expression and proteomic datasets were sourced. A kNN data representation was used to train a GNN for disease diagnosis. Achieving 98% accuracy between ALS and control, and 85% between ALS patients and ALS mimics, outperforming existing approaches. Integrated Gradients then quantified each genes importance in the model's decision. KRTAP3-1 and KRTAP9-8 were substantial in the models classification process due to involvement in cytoskeletal organization. In parallel, statistical proteomi analysis revealed the significance of KRT6A, KRT6B, and KRT4 due to involvement in cytoskeletal organization, tissue development, and cellular differentiation, all related to ALS. These keratin proteins were expressed in the pituitary gland, suggesting that their downregulation contributes to hormonal dysregulation in ALS. Once Glucocorticoid Receptor (GR) was found to be the reason for keratin downregulation, molecular docking identified PT150 as a therapeutic, binding with and inhibiting GR and Cyclooxygenase 2, also reducing neuroinflammation in ALS.
Awards & Recognition
AI-Driven Interactive Parkinsons Disease Progression Atlas (PD-Atlas)
In collaboration with the University of Illinois Urbana-Champaign, we are developing a comprehensive interactive atlas for tracking, visualizing, and predicting Parkinsons disease progression using advanced machine learning algorithms and extensive clinical datasets.
Explore PD-Atlas (Coming soon...)Patented Technology
Our proprietary innovations that power our unique capabilities in neurological research and treatment.
US Patent 19/087,573
Patent pending: March 2025