The Augmented Pathologist
@AugPath
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Research Laboratory for Digital Pathology and Human Factors in AI @ Medical University Graz #digitalpathology #exAI #causability
Graz, Austria
Joined July 2020
The General Assembly of the @aidava_project took place last week in beautiful #Split, Croatia for an #overview of the project's #progress. Thanks for having us at this #productive and #fruitful gathering! #AIDAVA #AIDAVAconsortium #workinprogress #AI #datacuration #healthdata
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On 4 Sep 2025, the Court of Justice of the European Union @EUCourtPress decided that pseudonymised data are not by definition also personal #data. What does that mean for pseudonymised #HealthData? Join our IHEN/HEAP webinar to find out! Oct 10, 14-15h CET https://t.co/KTUXFX5OqY
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"#AI driven strategies for #data harmonization and #data sharing"-Heimo Müller @ECP2025
#ECP2025 #pathology #biobanking #AI #dataharmonization
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#BioMedAI holds the last #XAI Summer School 2025 this week from Sept. 1-Sept. 5, 2025 @MasarykUni in #Brno with #handson #trainings on #(X)AI in #digitalpathology
#digitalpathology #explainability #AI #WSI #XAI
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Our colleagues representing @MedUniGraz at this year's @ECDP2025
#ECDP2025 #esdip #digitalpathology #machinelearning
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impressions from our #last #BYOD workshop @heap_exposome with partners from @karolinskainst @hopsworks @SSI_dk @CSCfi @IARCWHO @UniOulu @ICM_UW @lygature
#HEAP #EHEN #exposome #ML #cohorts #sustainability #dataplatform
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🎯 Day 3 of the #ONCOSCREEN Plenary kicks off with our Oncological Living Lab on CRC Tools! Patients, clinicians & policymakers are testing ONCOSCREEN innovations hands-on—from #AI-powered diagnostics to privacy-preserving platforms. Real users. Real feedback. Real impact. 🔍💬
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Day 2 of the #ONCOSCREEN Plenary is off to a strong start in Kaunas! 🌤️ This morning, we’re diving into: 🔹 Dissemination, communication & impact strategies with @CarrCommsLtd 🔹 Clinical trial design & validation insights lead by @FiralisGroup Stay tuned for more!
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What are world models in AI—and why do they matter for reasoning, imagination, and planning? Check out my thoughts and join the conversation on LinkedIn 👇 🔗 https://t.co/eRmHNW24Lc
#AI #WorldModels #CognitiveAI #MachineLearning #LinkedIn
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🔊Let’s Talk About It: Breaking the Stigma Around Colorectal Cancer This #ColorectalCancerAwarenessMonth, let’s normalise the conversation and encourage screening and prevention. Together, we can make a difference. 👭
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3-day #kick-off meeting of #RI-Scale in #Amsterdam happening right now! #kickoff #projectstart #researchinfrastructure
#AI #scalability #datasets
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#XAI winter school 2025 in #Brno and #Graz @ project BioMedAI More info @MedUniGraz @ https://t.co/66HAwFJ8jU
#BioMedAI #medunigraz #digitalepathologie #winterschool2025
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Last day of #BioMedAI #XAI #winterschool in Graz @MedUniGraz focusing on #qualitymanagement and #standards in #digitalpathology
#BioMedAI #digitalpathology #XAI #datamanagement #qualitymanagementsystems #certification
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4th day of #BioMedAI #XAI #winterschool 2025! Today the #winterschool continues @MedUniGraz in Graz. #digitalpathology #XAI #biobankGraz #pathology
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#ONCOSCREEN has published a new blog written by University of Graz. ➡️Find out more here: https://t.co/OstzoUEviI
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Happening right now! #BioMedAI #XAI winterschool in Brno @MOU_Brno & in Graz @MedUniGraz from January 6 -January 10, 2025. #workshop #AI #datamanagement #digitalpathology
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#BioMedAI workshop by our #researchgroup @MedUniGraz in the beautiful #Styria
#BioMedAI #datamanagement #workshop #digitalpathology
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at the 3-day #BYOD #4 collaborative workshop in #Helsinki, @heap_exposome partners test and demonstrate #datagovernancemodels, #analysispipeline and #machinelearningmodels
#exposomeresearch #FAIR #machinelearning #HEAP
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🎤 At the European Public Health Conference, BBMRI-ERIC’s IT team, represented by Eva Garcia-Alvarez & Petr Holub, shared progress of the EHDS HealthDat@EU Pilot! #DataInteroperability #DataQuality #PrivacyProtection 🔗 HealthData@EU pilot: https://t.co/x2Sc0IYdXe
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🤖As the use of AI grows, racial bias within health care risks being magnified, especially if the data used for training these algorithms is flawed. They are increasingly used to predict patient outcomes and determine care decisions. https://t.co/qetngQSPql
statnews.com
The most alarming thing about AI isn’t its newness: It’s that it repeats an age-old mistake in medicine, continuing to use flawed, incomplete data to shape decisions on patient care.
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