We are delighted to introduce our latest video series, made by our partner Observa in the framework of the HEREDITARY project. Guided by Stephen McNamara, a research instructor at the University of Colorado Anschutz Medical Campus, we delve into the potential of AI for early diagnosis of neurodegenerative diseases and ways of communicating with patients and the public.
Each video offers a closer look at the research group’s objectives, methodology, and layers, helping you to understand the impact of this pioneering work on healthcare and data research.
This video series is part of the HEREDITARY voices series.
Episode 1. Clinical tools for diagnosis
In this first episode, Stephen McNamara explains how they are trying to find ocular biomarkers that are able to connect imaging in the eye to broader systemic diseases, such as Parkinson. By looking at images and scans from the back of the eye, they can ultimately determine whether someone has a neurodegenerative disease now or in a near future. In that way, invasive imaging or testing can be avoided, eliminating the uncertainties surrounding these diagnoses.
Episode 2. The Eye: The mirror of the body
The research group is making diagnoses and establishing connections between the whole body from a detailed analysis of the eye. By doing so, it increases certainty about different diseases, improves predictions and helps patients receive specific therapies and treatments.
Episode 3. Information, AI and Decision Making
Information is key, not only to train models to make better disease predictions, but also to ensure that patients are aware of these new scientific treatments and how it can affect their lives. Transparency becomes increasingly relevant in a world where AI is a new and evolving feature.
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