Nostos Genomics

AI-driven genetic analysis platform

AION by Nostos Genomics uses AI to help scientists quickly and accurately identify genetic diseases. This platform streamlines the complex analysis process, reducing the time it takes to deliver a diagnosis and helping patients receive treatment sooner.
#UX Design  #UI Design  #UX Strategy  #MVP Design  #UX Research 
Duration: 12 months


Genetic disease analysis is a very complex process that requires a lot of manual work with data. Currently, it can take up to several months until the patient gets his/her diagnosis after submitting the blood test results. AION solves this problem by allowing test labs to run complex analysis much faster.

Collaborative Goal

The collaborative goal was to develop a new visual language, establish a design styleguide, create a library of components, and design an MVP that seamlessly integrates new features into the existing ecosystem. This would ensure a consistent and intuitive user experience.
Problem Statement
How might we significantly shorten the time to diagnose a genetic disease?

My Role

As the Product Designer for Nostos Genomics' AION project, I was tasked with establishing a new visual language and design style guide, creating a components library, and designing an MVP that seamlessly integrated new features into the platform's existing ecosystem. My role involved collaborating with the team to ensure a consistent and intuitive user experience for the AI-driven variant interpretation platform, and I worked closely with stakeholders to deliver a product that met their needs and expectations.

Main Challenge

The main challenge was to empathize with the end-users who are scientists working in genetic diagnostics. As a product designer, this was a unique challenge that required me to understand the complexities of their work and design a product that meets their needs. Thankfully, we had a scientist on our team who provided valuable insights and helped us overcome these challenges by answering our questions and providing feedback.

Our Process



In this first stage, my main goal was to dig deeper into the problem of genetic disease diagnostics and the industry status quo. I have talked to the main stakeholders, and our end users and researched all kinds of information on this topic. After that I gained a deep understanding of user needs and how our MVP is going to make their life better.



Based on the User research insights, together with the Product Manager and a Customer Success manager, we created a product vision that included the strategic roadmap, hi - level UX concepts, and a list of features to include in the product. We then formulated requirements and developed a product strategy that would guide our design decisions. User Needs + Business Goals = List of Key Features & Product Vision.



During the UX/UI design stage I developed the advanced UX for the features, defined within the Product Strategy. I have also created visual elements of the platform, including color schemes, typography, and iconography while ensuring consistency with the brand identity. I established a clear visual hierarchy to emphasize important information and conducted extensive usability testing to ensure that the design was user-friendly and intuitive. My goal was to deliver a design that facilitated easy navigation and increased user engagement with the AI-driven variant interpretation platform.



During the optimization stage, we conducted user testing and gathered feedback from end-users to identify areas for improvement. This feedback allowed us to refine the design and address any issues that arose during testing. We also focused on optimizing the platform's performance, including reducing load times and increasing the speed of data analysis. Through ongoing testing and iterations, we were able to deliver a high-quality MVP that met the needs of our users and provided a seamless experience for genetic scientists.

In 2022 Nostos Genomics closed a €5M Seed Financing round led by 42CAP & Frontline Ventures

Final MVP

Submit Data
On this screen user submits a vcf file and fills all the data necessary for analysis.
Detailed Case
On this screen user can see the details of the analysis results: Filters on columns, Adding Report to the Case, Seeing detailed information on each variant
On this screen user sees a more detailed information about the genom type.
Detailed information on American College of Medical Genetics and Genomics (ACMG) classification.