MilgoSense
AI-based Diagnostic Tool for Schizophrenia
Startup Pre-Funding Health Tech & Life Sciences Est. 2023
Total Raised
Undisclosed
Pre-Funding
Last Round
Undisclosed
Team
1
1-10 employees
Confidence
79/100
About
MilgoSense is an early-stage venture that seeks to disrupt the future of schizophrenia diagnosis, monitoring, and decision-making using simple, non-invasive, cheap, remote and AI-based diagnostic tool. Schizophrenia is a severe, chronic, and disabling mental disorder affecting approximately 1.1% of the population worldwide. It represents a significant economic burden for patients, payers, and society. Current annual US healthcare estimated costs exceed $155B. It usually starts in teenagers, where the symptoms are confusing and not easy to differentiate from somewhat more typical states of mind at this age. Early diagnosis and treatment may help get symptoms under control and may reduce the need for costly long-term hospitalizations. Early treatment entry may reduce hospitalizations and increase independent living by 41.5–46% and employment by 42–58%. The fundamental unmet need the company wish to address is the lack of an objective decision-support tool to help prioritize and bring those teenagers in distress as soon as possible to a trained psychiatrist before it is too late.
Classification
Sector
Health Tech & Life SciencesDigital HealthcareDigital Medical Diagnostics
Core Technology
Artificial Intelligence
Target Customer
Healthcare & Life SciencesHealthcareProviders
Business Model
B2B
Tags
digital-healthcarediagnosticsmental-healthartificial-intelligence
Details
Product Stage
R&D
Employees
1-10
Exact Count
1
District
Center District
Founded
2023
Registrar
516897626
Locations
Kiryat Ono, Israel
Links
Website
LinkedIn
Admin
Last Update
Oct 10, 2024
Verified by
Yanina Wainscheinker
Claimed
Yes
Missing
sector, video or image, funding rounds, news, markets, not claimed
Team (1)
Dovi Kelman
Founder & CEO
Founder
Internal
Created by
Yanina Wainscheinker (yanina.wainscheinker@sncentral.org)
Created
2024-10-10T00:00:00.000Z