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Florian Jaeckle

@florianjaeckle.bsky.social
73 followers 166 following 20 posts

CTO @ Lyzeum Ltd & PostDoc @ Cambridge & Fellow @ Hughes Hall | Developing Interpretable AI for the Diagnosis of Coeliac Disease

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Reposted by Florian Jaeckle
Coeliac UK @coeliacuk.bsky.social · 18/06/2026
🔬 Could AI help improve coeliac disease diagnosis? Earlier this month, members of the coeliac community joined researchers in Cambridge to discuss how AI could support diagnosis in the future. www.coeliac.org.uk/news/cambridge-w…
Research update asking: Could AI help diagnose coeliac disease faster? Community input shaping future research.Audience at Cambridge workshop on using AI for coeliac disease diagnosis; highlights: research, views, shaping future.
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Reposted by Florian Jaeckle
Hughes Hall, University of Cambridge @hugheshall.bsky.social · 01/05/2026
Hughes Fellow Dr Florian Jaeckle recently joined 30 scientists in Westminster to find out how scientific research feeds into policymaking and real world decisions with the Royal Society Pairing Scheme.🙌💡 Learn more⬇️ www.hughes.cam.ac.uk/about/news/r...
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Reposted by Florian Jaeckle
Mark Chadbourn @chadbourn.bsky.social · 14/04/2025
Another health breakthrough, this time from Cambridge University. An AI tool can diagnose celiac disease from biopsy images with over 97% accuracy in seconds.
scitechdaily.com
New AI Sees Gluten Damage Doctors Often Miss – And Diagnoses Celiac in Seconds
Cambridge scientists have developed a powerful AI tool that can diagnose celiac disease from biopsy images with over 97% accuracy. Trained on thousands of samples from diverse sources, the algorithm o...
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Florian Jaeckle @florianjaeckle.bsky.social · 11/10/2025
Very excited to share our paper "Interpretable machine learning-­based detection of coeliac disease" published this week in BMJ Digital Health & AI (bmjdigitalhealth.bmj.com/content/1/1/...) @bmj.com. Key findings below 👇 [1/5]
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Reposted by Florian Jaeckle
Accelerate Programme for Scientific Discovery @acceleratescience.bsky.social · 30/05/2025
📢 New blog post! Find out how @florianjaeckle.bsky.social based at @campathology.bsky.social @cuh.nhs.uk @hugheshall.bsky.social is using AI to speed up diagnosis of coeliac disease developing an algorithm that correctly identified more than 95 cases out of 100. Find out more: bit.ly/3Z3Q6C0
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Reposted by Florian Jaeckle
NEJM AI @ai.nejm.org · 01/05/2025
A machine learning model that diagnoses celiac disease from duodenal biopsy images demonstrates strong generalizability across multiple hospitals & has the potential to enhance diagnostic efficiency & reliability in clinical practice. nejm.ai/4iJz7fZ #AI #MedSky @florianjaeckle.bsky.social
Figure 2. The Five Steps in Our Pipeline.
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Reposted by Florian Jaeckle
Johannah Ruddy @johannahruddy.bsky.social · 09/04/2025
A new #ML model developed for #CeliacDisease diagnosis achieved accuracy, sensitivity, and specificity above 95%, matching or exceeding pathologist-level performance. By diagnosing CD from diverse biopsy samples, it has the potential to reduce diagnostic time and support more reliable diagnoses.
ai.nejm.org
Machine Learning Achieves Pathologist-Level Celiac Disease Diagnosis
The diagnosis of celiac disease (CD), an autoimmune disorder with an estimated global prevalence of around 1%, generally relies on the histologic examination of duodenal biopsies. However, interpat...
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Florian Jaeckle @florianjaeckle.bsky.social · 28/03/2025
Very excited to share our latest work published yesterday in NEJM AI @ai.nejm.org. We developed an AI model that diagnoses coeliac disease at the same level of accuracy as experienced pathologists. The paper is available to read here: ai.nejm.org/stoken/defau...
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Reposted by Florian Jaeckle
Hughes Hall, University of Cambridge @hugheshall.bsky.social · 28/03/2025
Exciting developments in this field - congratulations to @florianjaeckle.bsky.social who is co-author of this important research.🌟
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Reposted by Florian Jaeckle
Med AI Media @medaimedia.bsky.social · 27/03/2025
A machine learning model that diagnoses celiac disease from duodenal biopsy images demonstrates strong generalizability across multiple hospitals and has the potential to enhance diagnostic efficiency and reliability in clinical practice. #NEJMAI #OriginalArticle
ai.nejm.org
Machine Learning Achieves Pathologist-Level Celiac Disease Diagnosis
Mar 27, 2025 Original Article by F. Jaeckle and Others
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Reposted by Florian Jaeckle
The Guardian @theguardian.com · 27/03/2025
Researchers develop AI tool that could speed up coeliac disease diagnosis
theguardian.com
Researchers develop AI tool that could speed up coeliac disease diagnosis
Cambridge study finds algorithm is as effective as a pathologist in detecting disease – and much quicker AI could speed up the diagnosis of coeliac disease, according to research. Coeliac disease is an autoimmune condition affecting just under 700,000 people in the UK, but getting an accurate diagnosis can take years. Continue reading...
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Reposted by Florian Jaeckle
Hughes Hall, University of Cambridge @hugheshall.bsky.social · 27/03/2025
An #AI tool developed by @uniofcam.bsky.social scientists could help accelerate coeliac diagnosis. "This is the first time AI has been shown to diagnose as accurately as an experienced pathologist whether an individual has coeliac or not" Dr Florian Jaeckle
hughes.cam.ac.uk
AI is as good as pathologists at diagnosing coeliac disease, study finds - Hughes Hall
A machine learning algorithm developed by Cambridge scientists was able to correctly identify in 97 cases out of 100 whether or not an individual had coeliac disease based on their biopsy, new…
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