Portable, clinical-grade, easy-to-use diagnostic devices to allow use in teleneurology / remote settings
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Deployment of portable, cleared EEG devices (NeuroCaptm & NeuroEEGtm across target markets
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Development, approval and market deployment of additional remote, portable neurodiagnostic devices and sensors (e.g., EMG)
Secure, cloud based, highly scalable infrastructure to transmit patient data between teleneurologists and patients
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Transmission of diagnostic data (e.g., EEG) between portable devices and teleneurology network
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Storage of data within secure cloud (with patient permission) to assemble Brain Scientific proprietary “graph” database (of neurology diagnostic test readings, e.g., EEG)
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Integration of Brain Scientific secure cloud with other external brain research + clinical “graph” databases (EMRs, clinical trial data, additional neurodiagnostic platforms from other companies, etc.)
Artificial Intelligence assisted diagnostic analysis to increase teleneurologist efficiency, consistency and accuracy
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Development of Neural Networks (Machine Learning) on the assembled but evolving Brain Scientific “graph” database to identify biomarkers / patterns (e.g., in EEG reads)
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Correlate analysis across larger / integrated graph databases. Neural Network enabled predictive capabilities for brain health / disease progression
APortable Diagnostic Devices:
Brian Scientific has significant expertise in the miniaturization of neurological diagnostic devices using cutting edge technology and materials
Brain Scientific's MemoryMD subsidiary has two cleared (clinical-grade) devices in the market already (NeuroEEG™ & NeuroCap™) focused on easy EEG testing without the need for time-consuming and technician-mediated set-ups
Our future product roadmap includes the expansion of our suite of diagnostic device offerings into other neurological diagnostic modalities beyond EEG (e.g., EMG)
BSecure Cloud Infrastructure
Brain Scientific is investing in developing a robust, HIPAA-compliant and scalable cloud for creating the backbone of its remote teleneurology diagnostic vision
The cloud will be a key enabler of secure patient diagnostic information transfer between remote sites of care (ERs, rural providers, ICUs, Sports facilities) and the virtual network of teleneurologists
The secure cloud would also serve as a conduit for the acquisition of brain diagnostic training datasets (graph database) for our interpretation assistance Artificial Intelligence capabilities to evolve (through Machine Learning / Development of Neural Networks)
Subsequently – the Brain Scientific secure cloud would enable safe integration into other external “graph” databases that contain additional types of clinical / research data (e.g., EMRs, clinical trial results, data available through relevant consortia)
CArtificial Intelligence Diagnostic Analytics
Brain Scientific is working on developing state-of-the-art artificial intelligence technology and applications (through both in-house development as well as acquisition of existing players) to provide diagnostic interpretation assistance for healthcare providers (both remote teleneurologists and health care professionals at the point of care)
Eventually, this capability will be developed as our Cloud technology enables the acquisition of larger and richer “graph” datasets (through the use of our remote devices e.g., NeuroEEGtm) upon which Neural Networks would be developed to identify patterns and biomarkers for neurological disease through machine learning
Since the secure cloud will eventually be integrated with external graph datasets containing brain-related clinical and research data (EMRs / clinical trial databases / consortia mediated data pools), our neural networks will correlate analyses to detect patterns across a patient’s various health parameters (e.g., EEG versus MRI scans versus blood test results versus symptom data)
Through this correlation analysis and the further enhancement of the neural network capabilities through richer / integrated graph databases, our Artificial Intelligence platform will be able to make “predictive assessments” on clinical disease progression to aid neurologists in their diagnosis and patient management decisions
Live
Portable, clinical-grade, easy-to-use diagnostic devices to allow use in teleneurology / remote settings
In active development
Secure, cloud based, highly scalable infrastructure to transmit patient data between teleneurologists and patients
In active development
Artificial Intelligence assisted diagnostic analysis to increase teleneurologist efficiency, consistency and accuracy
