Aural Analytics, a leading clinical-grade speech analytics company, recently announced collaboration with Medidata, a Dassault Systemes firm, to integrate voice analytics into the Medidata Sensor Cloud Network. Its speech platform, Speech Vitals from Aural Analytics, contributes to Medidata’s goal of enabling the discovery and delivery of third-party algorithms at scale, leading to advances in illness progression knowledge. This will spur the development of more effective patient therapies.

Judy Smythe, CEO of Aural Analytics, said, “Our industry-leading analytics automatically extract clinically relevant biomarkers that are meaningful, interpretable, and have a demonstrated correlation to traditional measures. Speech provides a rich mine of data, and our partnership with Medidata will simplify the adoption of speech assessments in studies.”

This collaboration will help Aural Analytics and Medidata to make Speech Vitals a standard product within Medidata’s Sensor Cloud, expanding the scope of its offering to crucial data streams for researchers to use in their research. Speech measures have been shown to be clinically relevant across cognitive, motor, respiratory, and behavioral domains, and they, along with other digital sensors, provide additional ways to characterize treatment effect, phenotype participants, and gain an understanding of disease impact in a real-world setting.

The system developed by Aural Analytics is based on decades of study and provides generalizable measures that precisely quantify the impact of neurodegenerative and neuropsychiatric diseases on speech. These parameters have been clinically validated and shown to be repeatable in 15 clinical investigations. Furthermore, the ability to conduct speech tests remotely decreases participant strain and allows for better scalability.

Ben Schlatka, vice president, Digital Biomarker Solutions at Medidata, said, “Medidata’s Sensor Cloud Network will include Aural Analytics’ Speech Vitals technology, making it easier than ever to leverage the power of speech in clinical research. Speech is an important data stream complementing existing Sensor Cloud biometrics, enabling deeper insights into our patients’ journey.”