NeuroSapien: AI Powered Patch for Predictive Neurological Diagnosis

Votes: 2
Views: 55
Medical

NeuroSapien: AI-Powered Nanopatch for Early Stroke and Neurodegenerative Detection

Stroke and neurodegenerative diseases such as Alzheimer’s, Parkinson’s, and multiple sclerosis are among the most devastating medical conditions globally, leading to millions of deaths and long-term disabilities each year. Early detection is the key to better outcomes, but current diagnostic tools are either prohibitively expensive (MRI, PET scans), inaccessible in low-resource settings, or incapable of detecting the earliest biomarkers before significant neurological damage occurs.

NeuroSapien is a groundbreaking, wearable nanotechnology-based patch designed to detect the onset and progression of neurological disorders long before clinical symptoms arise. It is a credit card–sized, flexible device that adheres to the skin behind the ear, directly above the mastoid bone and cranial nerve junctions, enabling continuous, non-invasive monitoring of biochemical and neuroelectrical signals.

The innovation combines three layers of integrated sensing:

  1. Biochemical Sensing Layer: Graphene-based nanobiosensors detect trace markers like tau proteins, cytokines, lactate, and norepinephrine, known to correlate with neuroinflammation, ischemia, and neurodegeneration. These are passively sampled via skin-diffused interstitial fluids and sweat.
  2. Neuroelectrical Monitoring Layer: Miniaturized dry EEG electrodes capture subtle changes in cortical activity, including silent seizures, microstroke events, and abnormal oscillatory patterns indicative of degenerative conditions.
  3. AI Inference Engine: A low-power neural processor (e.g., ARM Ethos or Google Coral) runs an on-device deep learning model trained on multimodal datasets from hospitals, ICU archives, and open sources (e.g., MIMIC-IV, ADNI). It fuses biochemical and EEG data in real-time to calculate personalized neurological risk scores, detect stroke preconditions hours before onset, and flag long-term degenerative patterns.

Alerts are delivered instantly via a companion app to caregivers, emergency responders, or hospital dashboards. In rural or remote deployments, the patch works in a disconnected mode with internal storage and offline analysis. The device is entirely battery-free, powered by thermoelectric energy and body heat.

The NeuroSapien is designed to be low-cost (<\$50/unit in bulk), disposable, and mass-manufacturable using flexible printed circuit techniques and roll-to-roll biosensor fabrication. The base materials are biocompatible, and its modular design supports software updates without hardware replacement.

Primary applications include:

  • Post-stroke monitoring and secondary stroke prevention
  • Early detection of Alzheimer’s and Parkinson’s in high-risk populations
  • Field deployment in war zones and high-stress occupations (pilots, astronauts)
  • Screening in low-income or elderly care settings where advanced imaging is unavailable

Compared to existing diagnostic pathways, NeuroSapien offers non-invasive, continuous, and proactive neurological monitoring. It transforms care from reactive to predictive, with enormous implications for quality of life, public health, and medical costs.

With a growing global burden of neurological disorders, projected to affect over 1 billion people by 2030, NeuroSapien presents a scalable, intelligent, and life-saving solution that bridges biotechnology, wearable AI, and neuroscience into a single, deployable platform.

Video

Like this entry?

Learn how to vote for your favorites.

  • About the Entrant

  • Name:
    Sukanya Ghosh
  • Type of entry:
    individual
  • Software used for this entry:
    SolidWorks (for concept model), Figma (for UI), MATLAB (simulation), Python (AI design), Canva (mockups)
  • Patent status:
    pending