

A clinical decision support tool for better management of antidepressant treatment
NorthernLight Diagnostics is a Karolinska Institutet spin-off developing AI-powered decision support tools that help clinicians choose the right antidepressant treatment faster and with higher precision.
Challenges in Mental Health Treatment
Many patients with depression experience long trial-and-error cycles with antidepressants, leading to delayed symptom relief and reduced quality of life.
Current treatment decisions often rely on generalized guidelines rather than individual patient data, leaving clinicians without tools to tailor therapy effectively.
Clinicians face growing caseloads and complex medication choices without adequate support, increasing the risk of suboptimal treatment and clinician burnout.
Our collaboration
NorthernLight Diagnostics came to us to build a decision-support solution for clinicians treating patients with depression. Their main challenge was the inefficiency of antidepressant treatment selection — a trial-and-error process that prolongs symptoms, increases clinician workload, and drives up healthcare costs.
The goal was to create a platform that uses objective, patient-specific data to guide antidepressant treatment decisions, enabling doctors to deliver faster, more effective care while reducing costs per patient.

AI-powered tool to improve outcomes and reduce workload in depression care
Together with NorthernLight Diagnostics, we created an AI-powered decision support tool for depression treatment that predicts the outcome of different antidepressant options before therapy begins. This solution helps clinicians personalize care, reduce trial-and-error, and shorten time to symptom relief for patients.






Better outcomes for everyone involved
Ahead Treatment Advisor helps patients find effective antidepressants faster, reducing trial-and-error and accelerating recovery.
By shortening treatment cycles and lowering clinician workload, the solution decreases overall costs while improving quality of care.






