NanoMood offers a data-centric platform that integrates multimodal biometric data to assess and monitor neuropsychiatric function in real-time. This technology enables healthcare professionals to create personalized treatment plans and improve patient engagement in managing neurological conditions.
Funding
$70K 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.
Founders
Product
Problem
Monitoring neuropsychiatric function often relies on subjective assessments and infrequent clinical visits, hindering timely intervention and personalized treatment plans. Current methods struggle to integrate the complexity of multimodal biometric and medical record data for comprehensive patient evaluation.
Solution
NanoMood offers an AI-powered platform that integrates multimodal data, including biometric, biomarker, and medical records, to provide real-time assessment and monitoring of neuropsychiatric function. The platform supports healthcare professionals by offering digital symptom recordings, remote patient access, personalized treatment plans, and patient risk stratification. By analyzing vast datasets, NanoMood identifies patterns and correlations that indicate the presence or risk of specific mental conditions, enabling precise targeting and efficient patient recruitment for clinical trials or personalized treatments. The platform's device-agnostic design allows for data integration from multiple sources, harmonizing disparate data into clinically actionable insights.
Target Audience
The primary target audience includes healthcare professionals, hospital systems, pharmaceutical companies, and clinical researchers focused on mental health monitoring, treatment, and clinical trials.
Features
- AI-driven analytics for real-time assessment of neuropsychiatric function
- Integration of multimodal data: biometric, biomarker, and medical records
- Digital symptom recordings and personalized reports
- Remote patient monitoring and access
- Patient risk stratification through a tier system
- EHR integration for seamless data exchange
- Advanced algorithms for patient identification in clinical trials
- Automated real-time data ingestion, mapping, and discrepancy detection