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. https://t.co/P8BTAdXhUA
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:
https://t.co/SKaflFnIzH
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.
https://t.co/x4622E70L3
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. https://t.co/KaOb8LrLCZ
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: https://t.co/DqmGhk4S24
Talks by Vadim N. Gladyshev of @harvardmed and Joshua D. Welch (@LabWelch) of @UMich
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. https://t.co/1VM8FznIQ5
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: https://t.co/RoeSfxDW3w
Congratulations to Member Prof. Dr. Robert Zeiser for receiving this year's #CIBSSaward at our retreat for this outstanding publication:
https://t.co/ixrLISzpsv
👏💐🥳
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. https://t.co/4iEccRIZtF
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.
We contributed our modeling expertise for a Cochrane review on non-medical COVID-19 prevention measures in long term care facilities. Available now. https://t.co/TdELiaRnNq