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Neu Health

Neu Health provides a smartphone-based platform that utilizes artificial intelligence and machine learning to monitor and analyze the progression of Parkinson's disease and dementia through patient-reported data. This technology enhances condition management and medication adjustments, ultimately improving patient outcomes and reducing the need for higher acuity care.

Oxford, United KingdomFounded 2022191K+ followers
Updated 20 months ago

Funding

$3.7M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

CS
Funding rounds are not available yet.

Founders

Product

Problem

Parkinson's disease and dementia are becoming leading causes of mortality and morbidity worldwide, with a projected 200 million people affected by 2050. Monitoring disease progression and managing symptoms effectively requires frequent patient input and can be burdensome for clinicians. Traditional methods may not provide timely insights for optimal condition management and medication adjustments.

Solution

Neu Health offers a smartphone-based platform that leverages artificial intelligence and machine learning to monitor and analyze the progression of Parkinson's disease and dementia. The platform collects patient-reported data and translates digital measures of clinically relevant symptoms to optimize condition management and improve patient outcomes. By providing real-time insights into clinical changes, Neu Health enables informed, adaptive clinical decision-making and reduces the need for higher acuity care. The technology supports remote clinician-guided management, improved medication management, and provides reassurance and education for patients and caregivers between clinical visits.

Target Audience

The primary users are clinicians, caregivers, and patients dealing with Parkinson's disease and dementia.

Features

  • Patient-centric app-based remote monitoring of disease progression, requiring approximately 7 minutes of patient input.
  • AI/ML analytics to accurately measure progression and predict significant clinical outcomes up to 18 months in advance.
  • Remote clinician-guided management, optimizing access to clinical care.
  • Improved medication management based on real-time clinical changes.
  • Reassurance and education for patients and caregivers between clinical visits.
  • In-person and digital therapies matched to patient needs.
This profile is AI-generated and may contain inaccuracies.