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Study on Large Language Models in Precision Oncology published

We proudly announce that our study on large language models in precision oncology has now been published in JAMANetworkOpen.

Treating cancer is becoming increasingly complex, but also offers more and more possibilities. Clinical interpretation of complex biomarkers for precision oncology currently requires manual investigations of previous studies and databases. Conversational large language models (LLMs) might be beneficial as automated tools for assisting clinical decision-making.

See the full press release for more details.

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HPC User Meeting

We are happy to invite you to the HPC User Meeting on October 26, 2023. Note that this course is a directly before the HPC Crash Course on October 26, 2023.

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Crash-Course: 'HPC in Biomedical Research'

We are happy to announce a short, crash-course version of “HPC in Biomedical Research”. Note that this course is a directly after the HPC User Meeting on October 26, 2023.

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New Course: 'HPC in Biomedical Research'

We are happy to announce the course “HPC in Biomedical Research”.

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SODAR paper published

We proudly announce that our SODAR paper describing a system for omics data access and retrieval, has been published in GigaScience.

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Next R Crash Course in September 2023

We are continuing with another installment of the R crash course.

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Research project for precision oncology

In the G-BA funded project IntSim-Onko we are developing methods to understand similarities between cancer patients on the basis of molecular characterization and clinical patient history.

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MSTARS funded until 2026

MSTARS - Multimodal Clinical Mass Spectrometry to Target Treatment Resistance, is BMBF funded and started the second funding period.

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Center for Precision Medicine certified

The Core Unit Bioinformatics supports the Charité Comprehensive Cancer Center in research projects for precision oncology and the molecular tumor board.

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Next R Crash Course in March 2023

We are continuing with another installment of the R crash course.

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