Vocalis Health







Vocalis Health is an AI healthtech company pioneering the development of vocal biomarkers where health-related information is derived from analysis of people’s voice recordings to screen, detect, monitor and predict health symptoms, conditions and diseases. Vocalis Health is currently focused on screening users for COVID-19 and on monitoring patients with chronic diseases such as Chronic Obstructive Pulmonary Disease (COPD), Congestive Heart Failure (CHF) and Pulmonary Hypertension (PH).VocalisCheck is a software-only product that can be accessed via smartphones or other devices. Users simply count from 50 to 70, their voice recording is transformed to a picture (spectrogram) containing 512 features. That picture is then compared using AI machine learning/deep learning techniques to a composite picture based upon the voice recordings of COVID-19 positive participants in clinical trials to determine whether there is a high or low correlation between them. This technology can be integrated into existing mobile or web applications (via an SDK or Software Developers Kit) or can be accessed through a dedicated web-based portal.VocalisCheck is not intended to serve as a diagnostic tool. It is designed for use as a screening tool that can deliver a reliable risk score to guide who may need additional diagnostic testing, thereby enabling health systems to allocate diagnostic resources more efficiently.

Shady HassanCOO and Medical Officer1
Daniel AronovichCTO1

Barak Ben-EliezerManaging Partner …1
Rafi GidronChairman and Boar…1
Roy WiesnerBoard Member

RoundDate AnnouncedInvestors
Vocalis Health raises $9 million series SeedNovember 30, 20191

Investor NameInvestor TypeAUM ($)
aMoonVenture Capital1,212,694,500

TitleDate Announced
VocalisCheckFebruary 20, 2021


Voice sample analysis using patented machine learning (ML) and deep learning (DL) techniques. Voice is a very under-utilized biomarker which can uncover many insights about a person’s health. Analyzing these data sets, Vocalis Health is identifying, developing and validating disease-specific vocal biomarkers (respiratory symptoms, high or low peak flow measurements, respiratory patients’ hospitalization). Collect Data: Voice samples are collected from users via Vocalis Health research software solution Labeling: Voice recordings are then analyzed, verified and labeled with an associated medical record Transform to Spectrogram: The Vocalis Health technology transforms the audio recordings to visual images Feature Extraction: A unique signature is generated per disease/condition and for each individual patient Training and Validation: A 10-fold cross validation procedure is then conducted on the training data of a specific vocal biomarker

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