AI Life Science Research Lab

AI for Humanity — Good AI

Because the future of AI should include everyone.

At our Life Science AI Research Lab, we believe AI should serve humanity. We call it “Good AI” — technology designed to create meaningful impact for people and society.

Since launching the lab in 2025, we have initiated two research studies focused on improving quality of life and accessibility for different target groups.

Our mission

AI that serves people, not the other way around.

The Life Science AI Research Lab is NordAxon's commitment to applying machine learning where it can make the most human difference — in healthcare, accessibility, rehabilitation, and inclusion.

We work closely with hospitals, universities, clinics, and patient organisations to ensure every project is grounded in real-world needs, ethical research practice, and measurable benefit to the people it aims to serve.

Two active research studies in 2025.
Active research studies

Where we're focused right now.

Two long-running initiatives, each developed in close collaboration with clinical and academic partners. Both projects use machine learning to create real, lasting impact for people who need it most.

Research studyPediatric rehabilitation

Outlier analysis of children with cerebral palsy

Purpose

This initiative is a long-term research project driven by a simple but important belief: every child deserves the opportunity to reach their full potential. Our goal is to contribute to a future where children with cerebral palsy receive earlier, more intensive, and more individualised support — and where rehabilitation systems take a more proactive role in enabling long-term development and quality of life.

The project is inspired by the UN Convention on the Rights of the Child, which states:

“Governments must do all they can to ensure that children survive and develop to their full potential.”— UN Convention on the Rights of the Child

Through research, data, and AI-driven insights, we aim to help make that vision a reality.

Current state of the research study

In 2024, the project received ethical approval to begin collecting extensive data related to training history, rehabilitation efforts, and development patterns among children with cerebral palsy. Behind every data point is a real story — a child, a family, and years of dedication, training, and everyday effort. To support the research, we developed a large-scale survey platform where data is continuously being collected.

Using Machine Learning models and outlier analysis techniques, we are now identifying cases where children have developed beyond expected outcomes. By analysing these exceptional development patterns, we aim to better understand what factors may contribute to improved progress, rehabilitation outcomes, and quality of life.

The first generation of ML models has been developed and evaluated in collaboration with MedTech thesis students from the Faculty of Engineering at Lund University.

Collaborators
Hand Surgery Department, MalmöNAPASayKidLTH · Lund University
Explore the data collection survey →Read thesis paper
Research projectAccessibility & inclusion
Swedish sign language hand alphabet

Sign language AI

Purpose

Finding the meaning of an unfamiliar sign can be difficult, since existing sign language lexicons often require users to already know the corresponding spoken or written word. This creates accessibility barriers and makes independent communication and learning more challenging.

The purpose of this project is to develop an AI-powered search solution for Stockholm University's Swedish Sign Language Lexicon, enabling users to search directly using sign language itself.

By performing a sign in front of a camera, such as a mobile phone camera, users will receive matching signs from the lexicon without needing to know the correct search term beforehand.

The solution is based on Machine Learning models trained to analyse and compare recorded sign movements against signs stored in the lexicon using video analysis and AI-driven similarity matching.

The long-term goal is to improve accessibility, communication, and inclusion through AI-driven language technology.
Current state of the research study

We are currently preparing a funding application to Allmänna Arvsfonden together with a consortium consisting of the Swedish National Association of the Deaf (SDR), the Swedish Sign Language Lexicon, and the Royal Institute of Technology (KTH).

Consortium
Sveriges Dövas Riksförbund (SDR)Swedish Sign Language LexiconKTH Royal Institute of TechnologyStockholm University
Partner with NordAxon

Have a research idea that puts AI to good use?
Let's talk.

We collaborate with clinics, universities, patient organisations, and funding partners on projects where machine learning can improve quality of life, access, and care. Tell us where AI can make a human difference.