@RenardLab

Data Analytics and Computational Statistics research group @HPI_DE ✨ Account run by Prof. Renard & Ferdous Nasri (@ferbsx).

 Potsdam, Germany
hpi.de/en/research/research-groups/data-analytics-and-computational-statistics.html
Joined July 2022
  • Tweets156
  • Following67
  • Followers166
46Media
We're on Bluesky! 🦋 Follow us over there: bsky.app/profile/renardlab.b…
1
75
Ferdous Nasri presenting her work on the 'Spatio-temporal immunity index tool for infectious diseases' at the Digital Health Summit @UCT_news in Cape Town, South Africa!
Ferdous joyously next to her poster at UCT.

ALT Ferdous joyously next to her poster at UCT.

Ferdous@ferbsx7 Feb 2025
Happy that I had the honour of presenting my work at the Digital Health Summit in Cape Town, and got the chance to get into great discussions with researchers on the continent! Thanks to @ictdchick for organising the summit and bringing us all together 💐
Group photo of the Digital Health Summit attendees at the University of Cape Town in South Africa.

ALT Group photo of the Digital Health Summit attendees at the University of Cape Town in South Africa.

Ferdous presenting a poster of her research on "Spatio-temporal immunity index tool for infectious diseases"

ALT Ferdous presenting a poster of her research on "Spatio-temporal immunity index tool for infectious diseases"

1
1
2
310
The 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.
1
1
65
New paper: Electronic Health Records-Based Identification of Newly Diagnosed Crohn’s Disease Cases By @SusanneIbing , @JulianHug0, et al., now available in Artificial Intelligence in Medicine. authors.elsevier.com/a/1kA11… 🧵 1/6 Thread below:
1
3
80
more replies
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. 🧵 5/6
1
58
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. 🧵 6/6
47
Happy new year from our group! 🥳😄
The group standing in front of a meeting room smiling towards the camera.

ALT The group standing in front of a meeting room smiling towards the camera.

10
103
Renard Lab retweeted
HPI.MS@HPI_MS2 Dec 2024
Check out “Electronic Health Records-based identification of newly diagnosed Crohn’s Disease cases”, a new paper from HPI·MS PhD student @SusanneIbing, Masters graduate @JulianHug0, and collaborators, now available in Artificial Intelligence in Medicine. sciencedirect.com/science/ar…
3
6
281
... and that's a wrap from our group at #ECCB2024! Thank you and congratulations to @EloLab_fi, @nyronen and the organising teams for bringing together such a great conference! Looking forward to the next @ECCBinfo 🚀 – at Turku, Finland
Group photo in front of the ECCB banner. Smiling faces from left: Bernhard Renard, Julian Zabbarov, Ferdous Nasri, Yannick Hartmaring, Tobias Pietz, Marta Lemanczyk, Simon Witzke, and Katharina Baum.

ALT Group photo in front of the ECCB banner. Smiling faces from left: Bernhard Renard, Julian Zabbarov, Ferdous Nasri, Yannick Hartmaring, Tobias Pietz, Marta Lemanczyk, Simon Witzke, and Katharina Baum.

1
2
16
655
Our collaborator Alexander Rakowski presented „Metadata-guided Feature Disentanglement for Functional Genomics“ @ECCBinfo #ECCB2024 Check out the proceedings paper: academic.oup.com/bioinformat… – at Turku, Finland
4
14
627
Simon Witzke presenting his poster @ECCBinfo! #ECCB2024 @witsyke and @Iv_Pascal recent work in explaining aleatoric uncertainty in regression can help increase transparency in digital health. – at Turku, Finland
Simon Witzke happily standing in front of his poster.

ALT Simon Witzke happily standing in front of his poster.

1
3
11
491
They show that feature driving the mean prediction of low-density lipoprotein cholesterol considerably differ from the features driving aleatoric uncertainty. This highlights the value of uncovering hidden factors behind predictive uncertainty.
1
64
Check out Ferdous Nasri's poster (P410) @ECCBinfo now! She will tell you about the spatiotemporal immunity index tool for infectious diseases ✨ #ECCB2024 #immunity #modelling #spatiotemporal – at Turku, Finland
Ferdous Nasri standing happily in front of her poster.

ALT Ferdous Nasri standing happily in front of her poster.

2
1
15
781
Towards connecting deep learning and ODEs: We present a framework to optimize synthetic dataset characteristics for time series forecasting in biological systems. Meet @JulianZabbarov at poster 188, today from 5-6:30pm @ECCBinfo. #ECCB2024 – at Turku, Finland
Julian Zabbarov smiling proudly in front of his poster titled "Optimizing ODE-derived Synthetic Data for Transfer Learning in Dynamical Biological Systems".

ALT Julian Zabbarov smiling proudly in front of his poster titled "Optimizing ODE-derived Synthetic Data for Transfer Learning in Dynamical Biological Systems".

2
12
482
We proudly present PEPerMINT @ECCBinfo #ECCB2024, a new deep learning method for replacing missing peptide measurement values for improved downstream analyses! doi.org/10.1093/bioinformati… #DeepLearning

PEPerMINT: peptide abundance imputation in mass spectrometry-based proteomics using graph neural...

AbstractMotivation. Accurate quantitative information about protein abundance is crucial for understanding a biological system and its dynamics. Protein ab

academic.oup.com
1
4
11
561
PEPerMINT is based on a graph neural network structure and also leverages amino acid sequence embeddings. It is a joint project with the labs of Katharina Baum, Sukrit Gupta (@YoSukrit) and Hanno Steen (@steen_lab).
1
95
Listen to the talk held today by Tobias Pietz at 15:25 in Logomo Hall! #ECCB2024 @ECCBinfo @BostonChildrens @HPI_DE @FU_Berlin
1
3
234
Load more