Medical Biometry and Statistics — IMBI

We got the funding for our CRC Small Data!!! This means 31 open doctoral researcher positions for pushing the boundaries of artificial intelligence and modeling, starting on Oct 1st, 2023, thanks to the German Research Foundation. smalldata-initiative.de

Our joint paper in the Journal of Statistical Software has been published here: jstatsoft.org/article/view/v…

Congratulations to successfully funded Transregio CRC 359 "PILOT"! The RDM department of IMBI is involved with an infrastructure project and is looking forward to collaborating with all scientific projects in the CRC: kommunikation.uni-freiburg.de/pm-en/press-re…

scvi -- but written in Julia... So cool to see! github.com/maren-ha/scVI.…

One more week to apply: #PhD position to work with @AdrianiNikol on a newly funded #DFG Emmy Noether Program. The project entails development of methods for generalizing definitions of populations, treatments, outcomes of interest in #EvidenceSynthesis. uniklinik-freiburg.de/imbi-en/news.h…

Our new paper shows that deep learning+ODEs for personalized medicine is feasible with a small number of individuals and time points, such as in rare disease registries. doi.org/10.1002/bimj.2…

Our paper on JuliaConnectoR is online now. Get access to flexible Julia machine learning tools from R. jstatsoft.org/article/view/v…

Join our workshop on advanced single-cell methods and applications on Monday, March 14th, 16-17:30 (MET/Berlin/Paris time) via Zoom! For registration, visit: tinyurl.com/single-cell-gm… Talks by Vadim N. Gladyshev of @harvardmed and Joshua D. Welch (@LabWelch) of @UMich

Our paper on interpretable deep learning for single-cell gene expression data is online now. link.springer.com/article/10.100…

Our tutorial paper on differentiable programming is online now — with an illustration how these techniques allowed us to quickly build our COVID-19 intensive care bed prediction models for the RKI in the first pandemic wave. tandfonline.com/doi/abs/10.108…

This is an instance where one would (nearly) wish that the prognoses from our (COVID-19) models (presentation of Lothar Wieler at 27:16) would not be right: youtube.com/watch?v=lH-gpV…

Congratulations to Member Prof. Dr. Robert Zeiser for receiving this year's #CIBSSaward at our retreat for this outstanding publication: pubmed.ncbi.nlm.nih.gov/33115954/ 👏💐🥳 This research is an outstanding example of the integrative signalling research in CIBSS.

Our new paper demonstrates considerable benefits when incorporating stratum information into neural networks with time-to-event data. Biostatistics+deep learning=success. academic.oup.com/bib/advance-ar…

Harald Binder now is President of the German Association for Medical Informatics, Biometry and Epidemiology (GMDS) @gmdsEV. Looking forward to joint initiatives of the data science disciplines in biomedicine.

Join our workshop on single cell data at @gmds_tmf_2021 on September 28th (jointly organized with Georg Fuellen). gmds-tmf-2021.de/events/tacklin…

We contributed our modeling expertise for a Cochrane review on non-medical COVID-19 prevention measures in long term care facilities. Available now. cochrane.org/CD015085/PUBHL…

We are finally all together 🥳 and even the sun came out ☀️

New paper from a collaboration showing how to combine machine learning ideas with causal inference for microbiome data. doi.org/10.1002/bimj.2…

The CRC 1453 has released a new website: sfb1453.uni-freiburg.de. We are participating in projects S1 and INF.

Our new paper provides a solution for generating synthetic data by deep learning for privacy-preserving distributed computing. bmcmedresmethodol.biomedcentral.com/articles/10.11…