What a run! 🏃‍♀️🏃‍♂️
Last week, our group took part in the Berlin #Firmenlauf, and we had an amazing time out there, running, cheering each other on, and just enjoying the energy of the event! #TeamVibes

Thanks to everyone who made it such a memorable day 🤗 #ScienceInSneakers @hpi.bsky.social

We're proud to have Akin present his ongoing master's thesis project at the European Crohn's and Colitis Organisation (ECCO)
Congress 2025!

Ferdous Nasri presenting her work on the 'Spatio-temporal immunity index tool for infectious diseases' at the Digital Health Summit at University of Cape Town in South Africa!

💐Congratulations to ✨ Dr. Susanne Ibing! 🎓

Susanne, @sibing.bsky.social, successfully defended her doctoral dissertation @hpi.bsky.social this month on “Computational Strategies for Chronic Disease Characterization and Treatment by Leveraging Electronic Health Records and Omics Data” 🩻🧬👩🏼‍💻

When comparing coded conditions between identified cases and controls, we saw significant overrepresentation of GI-related conditions in cases, indicating the diagnostic delay of the disease.

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We found that adding information on age at diagnosis extracted from the clinical notes improves the phenotyping performance and allows to better distinguish between referral and incident cases, compared phenotyping mainly relying on structured clinical data.

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For automated cohort identification, we compared two computable phenotyping approaches with different levels of NLP and information extracted from clinical notes incorporated.

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Diagnostic delay is a common problem in Crohn’s disease, and with delayed treatment induction leading to overall worsened outcomes. This study aimed to automatically identify newly diagnosed patients to use pre-diagnostic EHR for data disease prediction.

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Happy New Year and a warm hello world from our group! 🥳😄