Reposted by Bernhard Y. Renard
🧬🖥️So excited to show you the outcome of @pascivers.bsky.social and my latest project: "From Hype to Health Check: Critical Evaluation of Drug Response Prediction Models with DrEval" doi.org/10.1101/2025.05.26.655288, published with M. Picciani, M. Wilhelm, K. Baum & @itisalist.bsky.social.
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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
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
In his project in collaboration with the Icahn School of Medicine at Mount Sinai @hpims.bsky.social, he is exploring the effect of biological administration timing on treatment outcomes in patients with Inflammatory Bowel Disease. Supervised by Dr. Susanne Ibing @sibing.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!
Congress 2025!
Reposted by Bernhard Y. Renard
We’re excited to share that our paper on rapid molecular classification of brain tumors has just been published in Nature Medicine!
Check out the awesome opportunity to join the group of one of the brilliant minds at our chair!
Reposted by Bernhard Y. Renard
I'm setting up my lab at @hpi.bsky.social, on the edge of vibrant Berlin! PhD/postdoc positions in AI for safe synthetic biology & infectious diseases (AMR), in collab with @melanianowicka.bsky.social.
Apply by Feb 24: email [email protected] with “[Open-25]” in the subject. DM for details!
Apply by Feb 24: email [email protected] with “[Open-25]” in the subject. DM for details!
Her work produces daily immunity indices for each regional location, given vaccination and infection data for different infectious diseases, which in turn can be used to, e.g., predict the spread of disease 🧬🤧🌐
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!
She has published numerous papers and presented her work at various conferences.
Her next step will focus on her research collaborations across the atlantic. 🚀
Her next step will focus on her research collaborations across the atlantic. 🚀
Her achievements are outstanding and we are very proud to be celebrating this day with her!💐
She started her PhD as a part of the Böttinger Lab, spent some time working with Mount Sinai in NY and switched to our Lab later. She led projects with many students, one of which won the DMEA Sparks Award🏆
She started her PhD as a part of the Böttinger Lab, spent some time working with Mount Sinai in NY and switched to our Lab later. She led projects with many students, one of which won the DMEA Sparks Award🏆
💐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” 🩻🧬👩🏼💻
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” 🩻🧬👩🏼💻
With an ablation study, we demonstrated the added value of information derived from clinical notes not only for the computable phenotyping, but also the disease prediction task.
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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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New paper: Electronic Health Records-Based Identification of Newly Diagnosed Crohn’s Disease Cases
By Susanne Ibing @sibing.bsky.social , Julian Hugo, et al., now available in Artificial Intelligence in Medicine.
authors.elsevier.com/a/1kA113KEGa...
🧵 1/6 Thread below:
By Susanne Ibing @sibing.bsky.social , Julian Hugo, et al., now available in Artificial Intelligence in Medicine.
authors.elsevier.com/a/1kA113KEGa...
🧵 1/6 Thread below:
authors.elsevier.com
