Diagnostics
Identification and validation of novel disease markers, including genetic risk factors and biomarkers, in preclinical models and patients with brain conditions to predict changes in disease progression and responses to therapies.
Genomic and ‘Omic Data
Use of genomic and ‘omic data from people living with brain conditions and pre-clinical disease models.
Disease-specific Biomarkers
Identification and validation of wet biomarkers (e.g., circulating biomarkers) and dry biomarkers (e.g., EEG and imaging markers) to enhance the accuracy of diagnosis and prognosis for brain conditions.
Research Leads
Artificial intelligence and Diagnosis
Leveraging artificial intelligence (AI) to integrate diagnostic data from preclinical models and patients, informing the development of new treatments through various approaches, including machine learning, deep learning, and generative AI.
Research Leads
New Diagnostic Devices
Developing of in-situ monitoring point-of-care devices for brain diseases.
