From Voice to Health Biomarkers - Launch of VOICE-BIOME™ Platform

From Voice to Health Biomarkers - Launch of VOICE-BIOME™ Platform

By Zana Technologies GmbH
Online event

Overview

Live webinar presenting the VOICE-BIOME™, an end-to-end platform designed to accelerate biomarker discovery.

Don't miss the live Webinar on Voice to Biomarkers!

Voice is increasingly recognized as a powerful, non-invasive health signal. Yet, turning raw speech into reliable biomarkers remains complex.

This live webinar will publicly present VOICE-BIOME™, an end-to-end platform designed to support voice biomarker discovery from data collection to analytics and machine learning models.


Why Attend?

  • See how voice can be transformed into clinically meaningful biomarkers
  • Learn how VOICE-BIOME™ supports the full pipeline: data collection, analysis, and model training
  • Hear directly from clinical leaders working at the intersection of voice, AI, and medicine
  • Get a first look at the platform through live demo


Agenda

Welcome & Introduction
Why voice biomarkers matter now and what is missing in today’s tooling

Expert Dialogue: From Clinical Need to Voice Biomarkers
A technology-driven conversation with clinical partner Dr. Sami Simons, co-developer of voice biomarkers for COPD exacerbation detection and contributor to large-scale clinical deployment projects.

Platform Reveal & Live Demo
A walkthrough of VOICE-BIOME™ — from voice capture to analytics, model training, and visualization.

Audience Q&A
Ask questions and explore how VOICE-BIOME™ can support your research or innovation goals.


Who should attend?

  • Clinical and academic researchers
  • Digital health and AI innovators
  • Life science and medtech companies
  • Developers exploring voice-based health signals
  • Healthcare professionals interested in novel monitoring approaches


Category: Science & Tech, Other

Good to know

Highlights

  • 1 hour
  • Online

Location

Online event

Organized by

Zana Technologies GmbH

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Events

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Hosting

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Free
Jan 20 · 7:00 AM PST