Nice Xmas party @CompHealthMuc -with review over a fantastic year of science, celebrated with mulled wine, piñatas and candies by Santa who surprisingly visited us 🎅🏽😍
🏆 Carlo De Donno, a PhD student at the Theis Lab, received the Helmholtz Munich Best Paper Award today. Proud moment for us all! 🎉
Find more about the paper below:
🔗 t1p.de/vmtph#excellence#HelmholtzMunich
💡 Lambert Moyon (@lambosaur), a postdoc from the Marsico Lab, spoke at the ISMB/ECCB 2023! What an exciting talk – he presented a benchmark of #ML methods for interaction predictions of protein-RNA. Learn more on choosing the optimal prediction method 👉 bit.ly/prtbench
🗣️ Marc Horlacher, a PhD student from the Marsico Lab, held an exciting talk at the ISMB/ECCB 2023. He spoke about unraveling protein-RNA interactions and RBPNet – learn more about the tool here 👉 bit.ly/RBPNet 🧬 #RNAresearch#DeepLearning
@fabian_theis presenting his #ERC advanved grant DeepCell - learning and modeling the molecular response of single cells to drug perturbations @HelmholtzMunich town hall meeting. What a promising and exciting project for the next 5 years
A new week means another #comphealth seminar🎉 Thanks to @jmrko for the insightful talk today on "Reconstructing neural networks with neural networks" 🧠💪
Incredibly insightful AIH Symposium this week thanks to all participants, especially @MihaelaVDS, @marinkazitnik and @TrackingActions for their inspiring talks👏 With over 60+ in person and 70+ online participants, it was a fruitful day🍎; ending with pizza, drinks & posters😍
Starting the year right with 100 participants at our #comphealth seminar💪Thanks to the brilliant Björn Ommer from @LMU_Muenchen for his talk on "Deep Generative Models and their Application in the Life Sciences"🎉
What a fantastic day! We are celebrating that our @fabian_theis is winner of the Gottfried Wilhelm Leibniz Prize 2023- we are so proud and happy!! Not the last glass today 🤩🥂🍾🥳
👏Amazing preview at our #comphealthseminar of the upcoming work from @LaraUrban42 and her team where they leverage in situ real-time #genomics 🧬and #AI for tackling the question of planetary health🌍, for monitoring #biodiversity 🐨🦜🦋and benefiting human #health🫂
Reminiscing💭 our @CompHealthMuc seminar earlier this week with Prof. Huisken from @huiskenlab, learning about: FLAMINGO, a light sheet microscope🔬 that can be highly customized, allows remote access & travel to the sample! Hello new doors to interdisciplinary collaboration🤝 🤩
🎉A very warm welcome to our new PI: Carlos Talavera-López @cartalop at @CompHealthMuc & @LMU_Uniklinikum 👏 A computational clinician, his group🧑💻👩💻 studies the systemic effects of infection & inflammation using spatially-resolved #singlecell technologies & #machinelearning
Serving you a little humour😆on #DNADay💪👩🔬🧬
Check out this great @NatureGenet commentary written by our very own @caina89 & colleagues on this timely & thought-provoking topic➡️ 🧬the genetics of educational attainment👩🎓👩🏫
go.nature.com/3OCqC7V
👉Handcrafting info measures to solve #neuroscience questions! 💡Insightful talk by Michael Wibral today from @WibralLab at our #comphealth seminar! Going beyond classical #informationtheory with information decomposition to better understand biological and #neuralnetworks 🧠🤖
All about the #brain & #technology🧠 Thanks to Michael Schwarzfischer from CereGate for his inspiring talk on brain interfaces and their work on #neurostimulation at our #comphealth seminar👏 The recent advances merging #neuroscience & #therapy are truly astonishing! 💪💡
A fresh week means another inspiring talk at our #comphealth seminar 🎉 Thanks to William Rayner, Head of Data Informatics at the Institute of Translational Genomics 🧬, for sharing a candid account of his career. Here's to a bright future in #data management 👨💼🖥️
#DataScience
Driven to be a better scientist!👨💻💪
Another inspiring talk from today's #comphealth seminar👏 Thanks to Nicholas Del Grosso for sharing his personal experience of becoming a research software engineer (RSE), his road to software expertise and the challenges involved💡
A wonderful talk earlier this week at our #comphealthseminar 💡 with Paolo Casale on GWAS & presenting a mixed model approach (StructLMM) & examples for analysis of the gene-environment interactions🧬. His future direction lies in high-dimensional phenotypes using #DeepLearning.
At this week’s Computational Health seminar we got @jankosinski, who visited us to talk about AlphaFold and Integrative Structural Biology approaches to improve the modeling of the Nuclear Pore Complex!
Today at #ICBLunchtimeSeminar, Florian Büttner @Science_Flo from @dkfz@goetheuni talked about a generalizable approach (FALCON) to train uncertainty aware DNNS. This new approach is able to give low confident predictions when data is truly out-of-domain. #ICBgoesvirtual
Last week at #ICBLunchtimeSeminar, Maren Büttner @marenbuettner talked about her work on compositional modeling in single-cell data analysis (scCODA) and shared her personal insights on the PhD experience. Thank you Maren for a truly inspiring talk!
Last week at #ICBLunchtimeSeminar, Dagmar Kainmueller @kainmuellerd@MDC_Berlin talked about how to avoid stitching artifacts resulting from tile-and-stitch approaches when dealing with large data and the ability of CNNs to distinguish same-looking objects #ICBgoesvirtual
This week at #ICBLunchtimeSeminar, Sarah Kim-Hellmuth @skimhellmuth from the Institute of Translational Genomics - @HelmholtzMunich and and Dr. von Hauner Children‘s Hospital @LMU_Uniklinikum with a talk on genetic effects on gene expression in health and disease #ICBgoesvirtual
Last week at #ICBLunchtimeSeminar: Kevin Zhou from USTC gave a talk about "Traits and Trends of AI in Medical Imaging". Addressing the need for a paradigm shift from "small task, big data" to "big task, small data". #ICBgoesvirtual@HelmholtzMunich
Lude Franke @LudeFranke from University of Groningen showed how single cell eQTL uncovers key genes of diseases and presented Gene Network (genenetwork.nl/) at our recent #ICBLunchtimeSeminar
@AhmidiNarges presenting the "Super Expert Doctor"- a combination of AI and causal inference that aims at improving multiple aspects in clinical practice like decision support - at today‘s town hall meeting @HelmholtzMunich 👀👏🏻
The goal: to understand cellular processes in the development of diseases with the help of Big Data and AI. Fabian Theis and Yoshua Bengio explain the idea. helmholtz.de/en/health/we-ca… (hk)
At #ICBLunchtimeSeminar, Tamer Jarada @tjarada, University of Calgary,introduced his novel computational approaches for integrating both biological and biomedical data to understand the functional and behavioural correlation between drugs and diseases. #ICBgoesvirtual
In one of our recent #ICBLunchtimeSeminar#ICBgoesvirtual Dieter Saur from @TU_Muenchen , Institute of Translational Cancer Research and Experimental Cancer Therapy, gave a real life talk on how to model and target pancreatic cancer and its microenvironment.
@arjunrajlab and colleagues built a time-machine to bridge morphological states and molecular cellular readouts⏳👀 very exciting talk at ICB seminar #ICBLunchtimeSeminar#ICBgoesvirtual, on the application of Rewind to elucidate molecular features of drug-resistant melanoma cell
How can genomics help elucidate complex diseases such as the Restless Leg Syndrome? Juliane Winkelmann
@janewinkelmann, Institute for Neurogenomics @HelmholtzMunich takes us on tour from early GWAS targets to drug repurposing opportunities #ICBLunchtimeSeminar#ICBgoesvirtual
How can human genetics help us in drug development? Joanna Howson @joannahowson, from Cambridge Cardiovascular, showcased how SNPs identified in GWAS studies can be linked to potential drug targets to inform drug development! #ICBLunchtimeSeminar#ICBgoesvirtual
Which phenotypes characterize organoids and how can more complex structures be engineered? Matthias Meier @PioneerCampus proposed a micro-well chip to investigate the differentiation process of organoids on a spatial and single cell resolution #ICBLunchtimeSeminar#ICBgoesvirtual
Reproducibility is a key part of good scientific practice, but what do we need to do to make a paper reproducible?Heidi Seibold @Heidibaya from @helmholtz_ai gave us the breakdown:version control, providing data and code access and describing methods properly #ICBLunchtimeSeminar
Ever been frustrated by the sparsity of your scATAC-seq data? Our #ICBLunchtimeSeminar featured Mariano Gabitto @MGabitto, Flatiron Institute, showing us how he obtains robust units of open chromatin data using statistical modeling and prior knowledge nucleosome size in ChromA!
AI models don't need to be trained on MRI heart images to reconstruct them!Daniel Rueckert @DanielRueckert, from the TUM and Imperial College London, demonstrated how to resolve undersampled medical images and precisely track tissue movements. #ICBLunchtimeSeminar#ICBgoesvirtual
Let's celebrate: today is World Science Day!
By analysing and interpreting biomedical data with mechanistic models and #ML methods,@ICB_munich researchers can provide computational solutions to biomedical challenges.
comp.bio#ScienceDayHMGU#ScienceDay
A warm welcome to the Helmholtz AI Health Consultant Team @helmholtz_ai! We are
looking forward to fruitful and productive collaborations with you! @ICBLunchtimeSeminar @ICBgoesvirtual
GWAS have not yet reached their full potential in personalized medicine! Mechanistic investigations of SNP mode of action with Chip-seq could support drug repositioning says Gisela Orozco @G_orozco_C, from the University of Manchester #ICBLunchTime_Seminar#ICBgoesvirtual
The beauty of data science is to learn from methods applied in diverse fields. Torsten Enßlin from the MPI for Astrophysics uses information field theory and neural networks to resolve unrecognizable objects in telescope and CT images. #ICBLunchtimeSeminar#ICBgoesvirtual
Personalized healthcare is only possible if we understand gene regulation.Judith Zaugg @zauggj from EMBL uses regulatory networks to learn biomarkers from epigenetics, transcriptomics and proteomics data to advance personalization of treatment strategies #ICBLunchtimeSeminar
AI can help us living more consciously ! Erwin Boettinger from the Hasso-Platter-Institut uses an integrated health system and apps that enable quick health status updates and an exploration of diseases.#icbgoesvirtual#ICBLunchtimeSeminar
Sharing data is often the barrier for computational diagnostics! In our #ICBLunchtimeSeminar Joachim Schultze @LabSchultze presented swarm learning -a method to train classifiers in a decentralized manner for a precise and quick diagnosis of Leukemia and COVID-19 #ICBgoesvirtual
Spatial transcriptomics images are pretty, but what can we learn from them? #ICBLunchtimeSeminar featured Paurush Praveen @paurushsinha from Miltenyi Biotec who uses AI to segment cells and learn tissue patterns with knowledge graphs to analyse and classify tumors #ICBgoesvirtual
Housekeeping factors are uninformative and boring? Prof. Danny Nedialkova from MPI says no! In our #ICBLunchtimeSeminar she showed how cellular heterogeneity is affected by these factors via proteostasis networks and tRNAseq data analysis. #ICBgoesvirtual
Development is the most dynamic of processes: one cell turns into a whole organism.Nicolas Battich, van Oudenaarden lab, showed how he leverages these dynamics to dissect synthesis and degradation rates of RNA using his novel scEU-seq protocol #ICBLunchtimeSeminar#ICBgoesvirtual