SciTransfer
FineBirth · Project

AI-Powered Point-of-Care Device to Prevent Unnecessary Preterm Labor Hospitalizations

healthTestedTRL 6

Imagine a smart sensor that can tell if a pregnant woman is actually in early labor or just having a false alarm. Instead of relying on guesswork, it uses special sound waves to feel the stiffness of the cervix, similar to how you might check if a fruit is ripe. An AI then analyzes this feel to give a fast, objective answer right at the bedside.

By the numbers
45M
Annual cases of Threatened Preterm Labour
300
Patients in multicentre clinical study
7
Clinical study sites
2.5M
Funding requested for development and validation
The business problem

What needed solving

Current methods for detecting true preterm labor are ineffective, leading to unnecessary hospitalizations and wasted medical resources for millions of women annually.

The solution

What was built

A point-of-care diagnostic system consisting of a patented intravaginal probe, AI algorithms, and a cloud-based data management platform.

Audience

Who needs this

Maternity hospital administratorsOB-GYN medical device distributorsPrenatal clinic ownersPublic health procurement officers
Business applications

Who can put this to work

Medical Device Manufacturing
mid-size
Target: OB-GYN diagnostic equipment provider

If you are a diagnostic equipment provider dealing with the lack of objective tools for preterm labor, this project developed a patented intravaginal probe and AI software that identifies true TPTL events in real-time. This allows for the creation of a new product line for prenatal clinics.

Healthcare Providers
enterprise
Target: Private maternity hospital chain

If you are a hospital chain dealing with high hospitalization rates and economic burdens from 45M annual TPTL cases, this project developed a PoC device that optimizes resource allocation. It helps avoid unnecessary treatments by definitively differentiating true from false labor.

Digital Health
SME
Target: Health-tech cloud platform provider

If you are a cloud provider dealing with the need for specialized medical data management, this project developed an online cloud platform and transversal database for cervical tissue analysis. This provides a scalable infrastructure for managing AI-driven diagnostic data.

Frequently asked

Quick answers

What is the cost or pricing of the device?

Based on available project data, specific pricing for the end-user is not mentioned, though the company sought €2.5M for development and validation.

How is the technology scaled for industrial use?

The project focuses on design, production, and securing CE certification to enable European marketing and industrial-scale deployment.

What is the IP and licensing status?

The solution includes a patented intravaginal probe and proprietary AI algorithms developed by Innitius.

What regulatory hurdles are being addressed?

The project is pursuing CE certification for Europe and has completed FDA pre-submission tasks, including a Q-Sub supplement and clinical strategy protocols.

What is the timeline for market entry?

The project period runs from 2023-04-01 to 2026-03-31, with the goal of obtaining regulatory approval during this window.

Consortium

Who built it

The project is led by a single Spanish SME, Ultrasound-Innovation Medtech (Innitius), resulting in a 100% industry ratio. This lean structure suggests a fast-track commercialization approach, focusing on direct ownership of the IP and a streamlined path from clinical validation to market entry without the complexity of academic partnerships.

How to reach the team

Contact Ultrasound-Innovation Medtech Sociedad Limitada in Spain

Next steps

Talk to the team behind this work.

Contact us to explore licensing opportunities for torsional wave elastography in obstetrics.

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