Webinar
June 25, 2026

What voice and face can tell about your health - and how to act on this data

On demand video:

Stress, fatigue, and early mental health changes don't wait for a clinical appointment to show up. The signals are already there — in how a person's face looks and how their voice sounds. The question is whether the tools exist to detect them reliably, at scale, and without friction.

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AI has reached a point where that's becoming possible. In this session, we explore what it means in practice: what voice and camera-based physiological monitoring actually capture, where these technologies are already being applied, and what it takes to integrate them responsibly into digital health products.

‍

Speakers from Shen AI and audEERING join us for a grounded conversation on the science, the use cases, and the harder questions the field still needs to answer.

‍

Join us live on June 25th, 7 PM CEST.

On demand video:
For whom:
What you'll learn:

Why mental health is so hard to detect - and why that's changing

Most conditions go undetected until they're serious. The tools we've relied on are episodic, subjective, and dependent on self-report - and that's starting to shift.

What voice reveals about health

Around 7,000 acoustic parameters. Signals of stress, fatigue, and depression - often before the person is aware. audEERING explains what the science supports.

What the face reveals about health

Heart rate, HRV, stress index extracted from subtle changes in facial blood flow and micromovements, no hardware required. Shen AI explains what these signals reflect.

Where these tools are already being used

Use cases across employee wellbeing, telehealth, and consumer health — and what responsible deployment looks like in each.

Live Q&A

Bring your questions and get them answered live.

Bring your questions and get them answered live.

Meet the speakers:

Monica Gonzalez Machorro

Researcher, audEERING

Przemek Jaworski

CTO & co-founder

Patrick Venn

Account Executive @ Shen AI

Webinar
June 25, 2026

What voice and face can tell about your health - and how to act on this data

On demand video:

Stress, fatigue, and early mental health changes don't wait for a clinical appointment to show up. The signals are already there — in how a person's face looks and how their voice sounds. The question is whether the tools exist to detect them reliably, at scale, and without friction.

‍

AI has reached a point where that's becoming possible. In this session, we explore what it means in practice: what voice and camera-based physiological monitoring actually capture, where these technologies are already being applied, and what it takes to integrate them responsibly into digital health products.

‍

Speakers from Shen AI and audEERING join us for a grounded conversation on the science, the use cases, and the harder questions the field still needs to answer.

‍

Join us live on June 25th, 7 PM CEST.

On demand video:
What you'll learn:

Why mental health is so hard to detect - and why that's changing

Most conditions go undetected until they're serious. The tools we've relied on are episodic, subjective, and dependent on self-report - and that's starting to shift.

What voice reveals about health

Around 7,000 acoustic parameters. Signals of stress, fatigue, and depression - often before the person is aware. audEERING explains what the science supports.

What the face reveals about health

Heart rate, HRV, stress index extracted from subtle changes in facial blood flow and micromovements, no hardware required. Shen AI explains what these signals reflect.

Where these tools are already being used

Use cases across employee wellbeing, telehealth, and consumer health — and what responsible deployment looks like in each.

Live Q&A

Bring your questions and get them answered live.

Bring your questions and get them answered live.

Meet the speakers:

Monica Gonzalez Machorro

Researcher, audEERING

Przemek Jaworski

CTO & co-founder

Patrick Venn

Account Executive @ Shen AI