TALKING HeaDS
Join us for an afternoon of #healthdatascience, #drinks, and #networking!

Talk by Ricard Argelaguet (Altos Labs) on AI & machine learning in biology.

25 Feb, 15:00–17:00
Panum, University of Copenhagen
RSVP: https://heads.ku.dk/calendar/2025/talking-heads/talking-heads-2025-1/

OpenUK Healthcare Advisory Board has launched today to explore health and care and open tech, https://openuk.uk/healthcareadvisoryboard We can look forward to their first paper in the next few weeks #AI #medicalAI #healthtech #healthcare #opendata #opensource #openuk

Big News for #OpenSource in Medicine: Our AMPEL-CDSS is expanding to Dresden!

With €1M funding from Saxony, our clinical clinical support system will be scaled, further developed, and studied in real-world applications at Dresden University Hospital and beyond. The 3-year project is led by the new department MedKIT (more soon!) and involves multiple partners in Leipzig and Dresden. Exciting collaboration ahead!

More:
https://tu-dresden.de/med/mf/imb/forschung/forschungsprojekte/ampel

Do what you enjoy and earn money for it.

We don't want to miss any of our friend's, so we are here to remind you our Call for Papers closes on 4/20. Submit for your talks and workshop for the BIOHACKING VILLAGE during @defcon. Time flies and DEF CON 32 is only 4 months away! Submit at https://docs.google.com/forms/d/e/1FAIpQLSfMb2VLXQE2SZ1knhsQBIxmN0ptXMCzpSW8DLfqoyN_rO-Mzg/viewform?pli=1

How can we get more #OpenSource into medicine, especially into the medical device landscape? Martin Federbusch (Project Leader of AMPEL) led a discussion at Analytica in Munich on this topic. The occasion was the Open Source release of the #AMPEL #Sepsis Early Detection Model based on the complete blood count. Open Source in routine care is gaining momentum: it's no longer about the "Why," but about the "How"!

Let's do it!

There are only 18 days remaining until our call for papers closes. Submit before it's too late. We're eager to see what you have prepared. Join us at @defcon Don't miss this opportunity!
Submit: https://docs.google.com/forms/d/e/1FAIpQLSfMb2VLXQE2SZ1knhsQBIxmN0ptXMCzpSW8DLfqoyN_rO-Mzg/viewform

Out now “Levels of explicability for medical artificial intelligence: What do we normatively need and what can we technically reach?"
With Ursin, Lindner, Ropinski and Salloch on #informedconsent in #MedicalAI #bioethics https://link.springer.com/article/10.1007/s00481-023-00761-x

My name is Philipp and I am a Professor of Data Science at the University of Tübingen. My lab is at the Medical School and we work on a range of topics in #computational #neuroscience, #machinelearning for #genomics and #medicalAI for #ophthalmology. Also, I care about #machinelearning and #AI for #Africa. Find the start of a lab intro playlist here: https://www.youtube.com/playlist?list=PL05umP7R6ij33AS48nwsomvYoXAydqY6_ (more videos to come)

I've moved the #MedicalAI list to a google sheet.
https://docs.google.com/spreadsheets/d/1-m0s4lg1JKB6y0fVTbM298Ex8PnUzZVwPjQbJz3Rm4E/edit?usp=sharing

Feel free to share and anybody can add themselves!

#Introduction I'm a research engineer based in Tokyo working on application of #computervision in the domain of medical imaging. I used to work with graph neural networks during my PhD. #MedicalAI