by Admin | Dec 5, 2024 | Hereditary
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.
by Admin | Nov 13, 2024 | Hereditary
We are delighted to introduce our latest video series, made by our partner Observa, where we delve into the research of the HEREDITARY project, guided by our esteemed coordinator, Gianmaria Silvello from the University of Padua (UNIPD).
Gianmaria Silvello is a computer science engineer researcher at Department of Information Engineering of the University of Padua. His research spans knowledge management, intelligent information systems, information access, algorithmic fairness, digital libraries and data provenance and citation.
Each video offers a closer look at the project’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. The project approach
In this first episode, Gianmaria explains the focus of the project, the interaction between the gut and the brain, and its main challenge: integrating multilingual and multimodal data distributed across several centres. To meet this challenge, the project will rely on federated learning and federated analytics techniques.
Episode 2. Federated learning
Federated learning is a machine learning technique that aims to train a model under the principles of collaboration between multiple entities to ensure that information remains decentralized, reinforcing privacy and security.
Episode 3. Semantic data integration
Hereditary aims to simplify the way we interact with data in order to achieve a better understanding of it. One of the project main goals is to make data accessible to everyone through a common, accessible language. Therefore, we’ll be able to treat multiple neurological diseases in a unified way, using the same terms or ideas and getting answers that everyone understands.
Episode 4. Expected results
Gianmaria talks about Hereditary’s approach to achieving its main holistic goal around gut-brain interplay. Connections between different data from many different perspectives are processed and combined with previously obtained patient information and literature knowledge to illuminate specific aspects of the diseases we didn’t know about before. This will provide a better picture to ultimately find new treatments and better diagnoses.
Episode 5. Artificial Intelligence
AI has a central role in the Hereditary project. Deep learning algorithms are being used to process, classify and establish relations between the different elements. Generative AI is also taken into account to extract information from texts, but also to generate new ones. AI is used in many different ways and at different levels, without forgetting that the previous data management and processing is fundamental for the AI to work properly.
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