We were delighted to welcome Annie Hartley, Assistant Professor of Biomedical Informatics and Data Science, Yale Institute for Global Health at #AMLDEPFL2024.
Listen to her speech ‘Foundational Humanitarian AI’ on the AMLD YouTube channel https://lnkd.in/gbFms7Tb to find out how they are transferring Meditron, a fully open source LLM for medicine, from paper to the field to support humanitarian response and access to care in low resource settings
#AMLDEPFL2024 was great, both workshops and conference proper, I learned a lot, really got a sense of the direction in which "the wind is blowing", many interesting discussions and potential collaborations. Thank you so much for having me (I intervened in the track AI for public health) and congratulations to the organisers @amld @marcelsalathe and colleagues!
Very much looking forward to coming back next year.
Benjamin Ribba, from Roche, works on reinforcement learning in precision dosing.
Those algorithms can adjust dosing based on factors specific to patients.
The track "AI and Healthcare Insights" at #AMLDEPFL2024 continues next with Marios Anthimopoulos
On the track "AI and the Molecular World" 🧪 Riza Ozçeli, from TU Eindhoven, showcases the capacity of Chemical Language Models in the creation of new molecules by de novo design.
Those bioactive compounds are then used in drug research and discovery.
Ine HJ Van Der Fels-Klerx from Wageningen University explains how AI can be used to monitor dangers in food production.
In this case, AI systems track and predict the presence of mycotoxins in cereal grain at the regional level in Europe.
"AI for Food Production and Nutrition" at #AMLDEPFL2024
The DeepFake Maze lets you impersonate any person in real-time.
Made by Prof. Sabine Süsstrunk and her team at EPFL to raise awareness about the capacity and risks of current AI systems.
Presented at #AMLDEPFL2024
Applied Machine Learning Days
Stéphane Ghozzi