Simona De Summa

The importance of stupidity in scientific research #PhD #PhDlife #academics #AcademicChatter #AcademicTwitter #Postdocs #Research #Science

Our very first presentation of spatial transcriptomics data to unveil the risk of recurrence in stage II colon cancer at @siapec. An incredible team in an inspirational meeting. See you soon!

Hot topic per la prima giornata del congresso #SIAPeC-IAP : 🔬 "Patologia #Molecolare e Medicina di Precisione in #Oncologinecologia" 🧬discusso da due relatori d'onore @FabioPagni1 @UmbertoMalapel1 💯 @pmmpitalia

The trip in the spatial context of early stage colon cancer is far to be concluded. Single cell transcriptomes and spatial coordinates are clearly evidencing hidden biological processes responsible for metastatization. Stay tuned…

One needs to a solid understanding of statistics, knowledge and awareness of artifacts, and there is no substitution for experience, no single course teaches this. I always encourage everyone to consult with experienced computational colleagues on new pipelines

I particularly like this paper: Demonstrating (1) The power of perturbing a cell-subset to understand the cell-cell interactions in the TME. (2) Using mouse derived signatures to query human clinical data and (3) Using gene programs to suggest combinatorial therapy approaches.

@Dio D’altronde avevi detto dei bambini “lasciate che vengano a me”… dei bambini mica dei giovani uomini

È positivo il fatto che Papa Francesco si preoccupi dei gay in seminario. Vuol dire che la chiesa non ha altri problemi da risolvere, quindi va tutto benone.

Genesis: A Modular Protein Language Modelling Approach to Immunogenicity Prediction biorxiv.org/cgi/content/sh… #biorxiv_bioinfo

The very beginning of our spatial journey! #spatialtranscriptomics #10X #visium #coloncancer

Kudos to @ValentinaGiansa for this and thanks to all people involved! 👇👇👇 Scalable Integration of Multiomic Single Cell Data Using Generative Adversarial Networks academic.oup.com/bioinformatics…

See you with new vision for the future. #AACR2024

Not only AI. “Sometimes when you want to understand complex messy biological data, simple rigorous statistics infused with biological understanding allows you to find structure in this biological data and understand what’s going on” Thank you @dana_peer #AACR2024

Very glad for the interest on my poster during yesterday’s poster session. Computational methods for drug repurposing are a very hot topic. #AACR2024

AI is data hungry and in biology we might not (yet) have enough to be fully reliable. Results of any computational analysis should resonate with biology and be robust when parameters are changed - couldn't agree more with @dana_peer and her vision #AACR24

A dreamer and a Nobel Prize! @JimAllisonPhD #AACR2024

Female computational biologists rule! #AACR2024

#AACR2024 The very beginning.

#AACR2024 Here we go!

Just finished teaching another semester of genomic #datavisualization 🥳 Discover the awesome #dataviz made by students in the class for various #singlecell #spatialtranscriptomics data Check out the course notes + #Rstats code to explore for yourself: jef.works/genomic-data-v…

Can AI crack the code of tissue images? 🔬🔬🔬UNI, a powerful AI model, analyzes millions of tissue images like a pro, trained on a massive dataset across 20 tissue types. This could revolutionize diagnoses with faster, more accurate results! #AI #healthcare #pathology @oncoalert @NatureMedicine @harvardmed @BrighamWomens @broadinstitute doi.org/10.1038/s41591…