Nine Diagnostics develops functional precision medicine solutions using AI-enabled nanosensor technology to analyze multidimensional patient data. This platform acquires health abnormality signals from small patient samples via fluorescent emissions detected by nanoscale sensing elements. The resulting holistic profiles enable clinicians to select and optimize the most effective treatment faster, accelerating patient outcomes.
Funding
Funding not disclosed
Founders
Product
Problem
Current cancer therapies often exhibit variable effectiveness, with single drug therapies working in only 20% of cases, targeted therapies in 25-75%, and immunotherapies in 20-40%. Delays in determining the right treatment can significantly increase mortality risk for cancer patients.
Solution
Nine Diagnostics is developing a functional precision medicine platform that uses AI-enabled nanosensor technology to create holistic patient profiles. By analyzing personal health data, demographics, social determinants of health, and real-time biomarker data from small patient samples, the platform aims to accelerate the selection and optimization of cancer treatments. The platform measures fluorescent emissions using nanoscale sensing elements to detect health abnormalities and signals of treatment effectiveness. This approach provides clinicians and researchers with dynamic, real-time feedback to understand new biology and validate precision medicine treatments, ultimately aiming to deliver the most effective treatment to patients faster.
Target Audience
The primary target audience includes clinicians seeking to accelerate the validation of precision medicine treatments, researchers aiming to discover new biology, and drug developers looking to understand treatment effectiveness.
Features
- AI-powered analysis of multidimensional datasets, including molecular signals, patient demographics, and clinical context.
- Nanosensor technology for real-time detection of health abnormalities and treatment effectiveness from small patient samples.
- Fluorescent emission analysis to acquire multidimensional datasets.
- Identification of dynamic biomarkers that react in real time directly from patients.