TuCAN is developing a tablet-based diagnostic tool that utilizes dynamic and graphomotor data to facilitate the early and differential diagnosis of neuropsychiatric disorders, such as Alzheimer’s and Parkinson’s. This technology enables healthcare providers to conduct efficient assessments, improving the accuracy of diagnoses while reducing time and costs associated with traditional testing methods.
Funding
Funding not disclosed
Founders
Product
Problem
Early and differential diagnosis of neuropsychiatric disorders, such as Alzheimer’s and Parkinson’s, is critical for managing patient care, but traditional testing methods are often time-consuming, costly, and lack the sensitivity to detect subtle cognitive changes. The increasing prevalence of neurodegenerative diseases due to demographic shifts necessitates efficient and widely accessible diagnostic tools. Current paper-and-pencil tests lack the ability to capture crucial parameters like pressure, processing times, and movement patterns, which can provide valuable insights into a patient's condition.
Solution
TuCAN offers a tablet-based diagnostic tool that leverages dynamic and graphomotor data to aid in the early and differential diagnosis of neuropsychiatric disorders. The platform captures parameters such as pressure, processing times, and movement patterns during test execution, providing a more comprehensive assessment compared to traditional methods. By employing tablet and digitizer technology, the solution enables healthcare providers to conduct efficient and cost-effective evaluations. The tool aims to facilitate early detection of conditions like Alzheimer's, Parkinson's, delirium, and depression, as well as differentiate between diseases and the effects of improperly dosed medications.
Target Audience
The primary target audience includes healthcare providers, such as neurologists, psychiatrists, and geriatric specialists, who require efficient and accurate tools for diagnosing neuropsychiatric disorders.
Features
- Tablet-based interface for standardized neuropsychological assessments
- Capture of dynamic graphomotor data, including pressure sensitivity, processing speed, and movement analysis
- Algorithms for analyzing collected data to identify patterns indicative of specific neuropsychiatric disorders
- Reporting module for generating comprehensive patient reports
- Data storage and management in compliance with relevant data privacy regulations