@eshaematology.bsky.social#ESHAI2026: And a special thanks to Ellen Laker & Ilaria Looser #ESHYOUNGREPORTERS, for lively reporting this workshop from a scientific perspective!
Chairs: Claudia Haferlach, Franziska Michor, Kimmo Porkka, Thorsten Zenz
#ESHCONFERENCES #HAEMATOLOGY #HEMATOLOGY #AI #Healthcare
@eshaematology.bsky.socialWhat a great 1st #ESHAI2026! A huge thanks to C. Haferlach, F. Michor, K. Porkka & T. Zenz for putting together such an exciting & inspiring program, to all faculty for a superb meeting & to all participants for engaging so actively with questions & comments!
Upcoming #ESHCONFERENCES ➡ www.esh.org
@eshaematology.bsky.social🗨️ Let’s finish up session VII with a Panel Discussion!
Matthias Heinig, Moritz Schaefer, Matteo Della Porta and Alexander Angleitner dive into audience questions on ‘Securing the digital future of haematology - strategies and solutions’
@eshaematology.bsky.social🌍 Next up, an insightful talk by Matthias Heinig titled ‘Fostering collaboration: the human cell atlas’. We explore the need, guidelines, practical examples and prospects of the Human Cell Atlas project.
@eshaematology.bsky.social🚀 Our final session of #ESHAI2026 begins! We are discussing all things ‘Infrastructure, security and collaboration in the age of digital haematology’
Matteo Della Porta delivers a fascinating presentation on how best practices and challenges of data security in haematology.
@eshaematology.bsky.socialSession VI concludes with an insightful Panel Discussion led by Moritz Middeke, Christian Pohlkamp, @junyanlu.bsky.social , Isolde Summerer and Georgios Paterakis.
❔ How are AI failures received by team-members?
❔ How do we standardise high-quality data cleaning?
@eshaematology.bsky.socialWe continue with an engaging talk from @junyanlu.bsky.social: ‘Ensuring reproducibility and reliability in haematological data’. Reproducibility can fail at every step and Junyan Lu offers four practical principles for improving reproducibility and reliability.
@eshaematology.bsky.socialUp next is Jan Moritz Middeke with a refreshing talk about: “Navigating the Pitfalls: what we can learn from an AI Project that required a second approach”.
Moritz shares examples of obstacles in his projects, why they happen and how to overcome them.
@eshaematology.bsky.social🚀 Session VI on ‘AI in haematology: successes, setbacks, and the path to standardization’ begins with an insightful presentation by Isolde Summerer
What makes a Chromosome Banding Analysis (CBA) good AI use case?
Chairs: Jan Moritz Meddeke and Christian Pohlkamp
@eshaematology.bsky.social#ESHAI2026: another lively round of interactive Meet the Expert sessions! Moritz Schaefer, Matthias Heinig, Uri Ilan and Aziz Nazha engaged in informal discussions with participants.Chairs: Claudia Haferlach, Franziska Michor, Kimmo Porkka, Thorsten Zenz
#ESHCONFERENCES #HAEMATOLOGY #HEMATOLOGY
@eshaematology.bsky.social💡Final Panel Discussion of the day, with a major focus on AI implementation in the clinics and on how validation and clear institutional guidelines are needed!
Many thanks to our panel: Jan Eckardt, Matteo Della Porta, Fabio Steffan, Uri Ilan and Runhai He.
#ESHAI2026 #ESHCONFERENCES #AI
@eshaematology.bsky.socialWith a fascinating talk from Fabio Steffen we dive into the topic of ‘AI agents in tumorboards’. He presents an end-to-end pipeline for image-based functional drug screening to inform therapeutic decision-making in paediatric haematology.
@eshaematology.bsky.socialUri Ilan delivers a compelling talk on ‘Personalised treatment in haematology through big data analysis’.
We explore how paediatric precision oncology could be practically implemented into clinical practice, looking specifically at Capricorn as an AI tool.
@eshaematology.bsky.social📢Session V begins with a brilliant presentation by Jan-Niklas Eckardt: ‘Synthetic data and the potential in haematology’
Jan-Niklas Eckardt shows us how we can accelerate clinical trials and boost success rates with tabular synthetic patient data!
@eshaematology.bsky.socialChristian Pohlkamp on AI in from the diagnostic perspective!
How do we automate and digitize the cytomorphology pipeline in diagnostics?
Munich Leukemia Laboratory automates sample preparation, slide scanning, cell type labelling and clinical report-writing!
@eshaematology.bsky.social🚀Session IV Big data and AI for improved diagnosis and prognostication in haematology.
Carsten Marr talks computer vision for cytology and hematologic diagnosis: from single cell classification, AML subtype prediction and integration of modalities in vision models!
@eshaematology.bsky.socialSession III concludes with a highly engaging Panel Discussion led by Kimmo Porkka, Thorsten Zenz, Jeff Tyner, Joachim Schultze and Micol Caccia. We explore data sharing agreements, scRNAseq as a clinical tool and meaning of open data.
Thank you to our great panel!
@eshaematology.bsky.socialAn outstanding example of Data Integration in the BEAT-AML Network!
Jeffrey Tyner gives exciting insights into how the BEAT-AML network can predict treatment responses, identify rational drug combinations, and look towards mechanisms of sensitivity or resistance.
@eshaematology.bsky.social🌍 Exploring Swarm Learning with @joachimschultze.bsky.social
The Swarm Learning Ecosystem is an open source and globally deployable infrastructure for collaborative AI in medicine.
A look at problems, solutions and examples of Swarm Learning in action!