Biomarkers
“Biomarkers are a key tool capable of facilitating development of medical products and spurring innovation.”
— United States Food and Drug Administration (FDA)
Diagnostic Neurobiomarkers
A diagnostic biomarker is used to detect or confirm the presence of a disease or condition of interest or to identify individuals with a subtype of the disease.
Predictive Neurobiomarkers
A predictive biomarker is used to identify individuals who are more likely to respond to exposure to a particular medical product or environmental agent.
Cellular Electrophysiology
Electrophysiology can now be analyzed in the laboratory at an unprecedented cellular level using microelectrode arrays (MEAs) and machine learning algorithms to objectively quantify neuronal function, diagnose patients, and predict response to therapeutic intervention.
Neurons and other cells differentiated from human induced pluripotent stem cells allow the use of the patient’s own cells “on a chip,” thereby replicating the brain chemistry of the neurological disorder in a laboratory environment and facilitating rapid development of precision-guided therapeutics.
Genomics
Genomic biomarkers have been shown to establish the cause of neurological disorders in approximately 25% to 50% of cases. This has led to greatly reduced time to diagnosis and overall treatment efficacy.
Modern gene sequencing technology allows for rapid and inexpensive genomic profiling for each patient.
More Biomarker Classes
While cellular electrophysiology and genomics can be powerful and predictive when used individually, these techniques have failed to provide sufficient diagnostic insights into a large percentage of cases. This leads to failed diagnoses in millions of patients and produces therapies that result in adverse and harmful side effects.
There are several other classes of biomarkers that the NeuroDetect BioProfiler is equipped to analyze and interpret. Advanced machine learning algorithms allows our platform to take hundreds of important variables into account to create highly objective diagnostic biomarker profiles for each patient. This will result in more objective and precise diagnoses and ultimately more effective treatments.