Hoe kan artificiële intelligentie migraine-patiënten helpen? Ontdek het tijdens deze digistatie in De Krook!
Heel wat mensen hebben regelmatig last van migraine. Waar die migraine vandaan komt, of wat die migraine uitlokt, is helaas vaak moeilijk te achterhalen. Wordt het beter met bewegen of net niet?
UZGent, UGent en imec onderzoeken hoe A.I. kan helpen bij het nauwkeuriger identificeren van je activiteiten en de mogelijke migraine triggers, om migraine-patiënten sneller vooruit te helpen.
Wil je graag te weten komen hoe dit precies werkt? Wil je zelf ook graag uitproberen hoe dit onderzoek je migraine kan helpen bestrijden? We leggen je tijdens deze digistatie graag uit hoe!
Tech showcase on using hybrid AI to detect migraine triggers and support patients
Many people regularly suffer from migraines. Unfortunately, it is often difficult to determine where the migraine comes from, or what triggers the migraine. Is it getting better with exercise or on the contrary? This demo shows how AI can help to accurately identify your user behavior and detect your migraine triggers. To do so, we designed a mobile health application that, accompanied with a wearable, machine learning and AI models, automatically learns the user behavior, type of migraine and potential migraine triggers. Patients and their doctors are currently evaluating this app and accompanying dashboards within a longitudinal clinical trial at the Ghent University Hospital to get a better view on the context in which they get headaches and optimize migraine management.
Attending ESICM LIVES2021 and interested to see how our team wants to leverage data science to enhance patient care and clinical research? Join us at 15:30 CEST on Channel 8 via https://lives2021.e-lives.org for our thought-provoking talk on the prediction and causality analysis of Atrial Fibrillation in the ICU using machine learning.
Maandag 12 juli was de officiële kick off van het ADAM-project in ons leer- en innovatiecentrum RADar. Vorige maand kreeg RADar hiervoor een subsidie toegekend van Vlaams minister voor Innovatie Hilde Crevits. Het project wil de fundamenten leggen om via Artificiële intelligentie nieuwe kennis uit data te halen.
ADAM staat voor Advanced Data-Aided Medicine. Het doel van dit driejarig onderzoeksproject is dan ook artificiële intelligentie-modellen opzetten die ondersteuning bieden bij medische beslissingen. Via data kan op die manier snel de juiste behandeling gevonden worden voor patiënten.
The combination of innovations in the field of AIML (artificial intelligence & machine learning), technology and real-world data drive improvements in patient care and outcomes. This webinar will showcase concrete examples of how AIML is used to optimize patient care and outcomes in multi-stakeholder projects. The aim of the webinar is to share these examples and highlight how innovative medicine companies are contributing to these initiatives. More info can be found here.
Comon is een collectief van wetenschappers, technologen en creatievelingen van Stad Gent, imec, Universiteit Gent en Bibliotheek De Krook. Het doel? Van Gent een betere, aangenamere en wijzere stad maken. Met wetenschap en technologie als deel van de oplossing.
Eén van de makers van Comon is Sofie Van Hoecke, professor Artificiële Intelligentie aan de UGent. Sofie werkt met haar team aan een app die migraine-aanvallen voorspelt.
Lees hier het interview.
Team IC/DC, with team PreDiCT’s doctoral students Jarne Verhaeghe and Thomas De Corte as the lead of team IC/DC, received third place on 28/05/21 in the 2021 European Society of Intensive Care Medicine Datathon with the prediction of Atrial Fibrilation using uncertainty quantifying machine learning. The winning team members received free access to the conference and may present their results at the ESICM tech forum. Jarne Verhaeghe and Thomas De Corte are promoted by Sofie Van Hoecke (PreDiCT), Femke Ongenae (IDLab), and Jan De Waele (UZGhent) and together they work on Hybrid machinE leaRning for Improved Infection management in Critically ill patients (FWO HEROI²C project).
How to find synergies in data-driven and expert-based approaches for smart maintenance in industrial processes? Can we combine expert knowledge and machine learning for predictive maintenance? What about root cause analysis and anomaly detection from an AI perspective? How do the expert feedback and physics-based models fit in all this?
Join us at our free Webinar-event ‘Hybrid Machine Learning for Smart Maintenance’ on 25th March 2021 from 9 till 11 am to find out the answers to the questions above and to interact with us!
In this exclusive webinar outreach session, speakers from both the renowned scientific community @UGent (IDLab & EELab), imec, Flanders Make and industry will elaborate upon hybrid machine learning for smart maintenance. We show how to find synergies in data-driven and expert-based approaches. We detail how providing expert feedback can be used for model optimization of smart maintenance, what physics-based machine learning strategies can be deployed, and how expert knowledge can be incorporated into machine learning for root cause analysis and anomaly detection. Next to academic perspectives on smart maintenance, testimonials from a service and manufacturing company will be provided on how they perform smart maintenance using hybrid machine learning. We also warmly invite you to interact with us during the Q&A sessions.
Artificial intelligence (AI) plays an increasingly important role in various aspects of our lives. Also for companies, emerging AI and ML applications lead to a competitive advantage for the early adopters embracing these technologies. To accelerate the economic potential of these technologies, to link expertise and knowledge, AI4Growth was founded as a local network within AI & ML. With members from both research-driven AI companies, AI experts from industry and academia, and companies that want to focus more on the application of AI & ML, AI4Growth creates a unique platform. In this session AI4Growth explores what the AI-(r)evolution means for society and for companies. The potential challenges of the increasing impact of AI technology on society are discussed, but also the opportunities offered by this technological revolution. With AI experts such as Sofie Van Hoecke, and input from AI believers and adopters Benjamin Vandemarliere (Boltzmann) and Jonathan Berte (Robovision) this will be an AI-session not to be missed! Digital-first professional Clo Willaerts will moderate and give you insights into the benefits and challenges of AI.
Learn more about our research on machine learning and dynamic dashboard technologies for scalable REB health monitoring and Remaining Useful Life prediction during this webinar.
The development of Artificial Intelligence has gained momentum all over the world. The Flemish AI impulse program was set up to ensure that Flanders can continue to keep its leading position on AI. This program enables our researchers to find solutions for the challenges of tomorrow and today.
This special details AI research in Health and Society, and more specifically the PreDiCT research within the mBrain project on AI on wearables and context data for improved and personalized migraine management.
In a year in which public health is high on the agenda, science magazine Eos, in collaboration with research institute imec and Ghent University, is devoting a special issue to health and technology, with three contributions from PreDiCT.
The Eos special has three parts. The first is about prevention. Thanks to sensors, digital doubles that collect all our medical data and personalized medicines, we can detect and prevent more diseases than ever before. Part two focuses on therapy. New AI models allow doctors to design more efficient treatments, tailored to the patient. The final part focuses on care and how robots can lend a mechanical hand, and investigates the most pressing question of the moment: how can we overcome infectious diseases?
The contributions from our PreDiCT team focus on our research on migraine management using wearables, our research on personalized antibiotics therapy in the intensive care, and our vision on the future of AI for health. Read here this latter contribution (in Dutch).
Master thesis student Ward Haeck received the ArcelorMittal 2020 award for his masterthesis on ‘Transfer learning and one-shot learning for surface inspection of flat steel.’ Promotors were Sofie Van Hoecke (PreDiCT), Andy Van Yperen-De Deyne (ArcelorMittal), and Dieter De Paepe (PreDiCT).
DyVerSIFy facilitates operators in exploiting the value generated by sensor analytics to the fullest by delivering software components and methodologies that advance the state-of-the-art in dynamic visualization, adaptive anomaly detection (AD) & root cause analysis (RCA), and scalable services & processing.
Discover the innovative project results that fuse the power of machine learning and semantics to predictive maintenance, enable both user-driven and anomaly-driven dashboards, and process everything in a scalable way. Besides the technical insights, also three integrated business demos will be given during this closing event.
Zal een vrouw te vroeg bevallen of niet? Op die vraag kan een app, ontworpen door IDlab (Universiteit Gent), antwoord bieden. De software zou ook kunnen dienen voor mensen met migraine of dementie.