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Objective measurements for faster symptom relief

Personalized medicine for better management of mental health

Ahead treatment advisor ™

Decision support tool for the management of antidepressant treatment

Ahead Treatment Advisor ™ is designed to provide healthcare professionals with information about the predicted outcome of antidepressant treatments. It is designed to be used by healthcare professionals in healthcare units which diagnose and treat patients with mental health disorders.

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problem
CHALLENGES IN MENTAL HEALTH

The problem

Only 1 out of 2 patients reach symptom remission after 6 months of trying different treatment alternatives
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innovative approach

How it works

AI algorithms predicts the outcome of different antidepressant treatment options based on patient´s patterns of activity.

1. Record activity

The patient wears a medical-grade actigraph on the wrist to record movement for about a week.

2. Analyze patterns

Gain insight into the patient’s daily activity using our innovative graphic displays.

3. Estimate outcome

Estimate the outcome of several antidepressant treatment options simultaneously – before starting any treatment.

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Benefits of using Ahead ™

Faster identification of effective treatment

Shorter time to reach symptom remission

Reduce costs for healthcare

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api integration

Excellent Plugin Integration

We appreciate your trust. Our clients choose us and our products because they know we're the best.

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About us

Team

Sandra Ceccatelli

Co-Founder & CSO

MD, Professor at Karolinska Institutet, Department of Neuroscience, Ceccatelli Laboratory. Director of Karolinska Institutet Ming Wai Lau research centre in Hong Kong

Stefan Spulber

Co-Founder & CLO

MD, Senior researcher at Karolinska Institutet, Department of Neuroscience, Ceccatelli Laboratory. Core scientific and technology development.

Jan Furuvald

CEO

Long experience from business development, leadership and internationalization, primarily from companies providing digital solutions to healthcare industry.

Sajjad Saffari

COO

Health Informatician and Cert. Biomedical Analyst from Karolinska Institutet, with experience from diagnostics, digital health and entrepreneurship.

Jan Lorenz

CTO

Health Informatician from Karolinska Institutet and former Big4 Tech consultant, with experience from full-stack engineering, data science and automation.

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Address

Sweden —
Brunnsgatan 6
111 38 Stockholm

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