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Danielle Nader, RCSI PhD student, has been awarded the Royal Academy of Medicine Ireland Donegan Medal. #COVID19research RCSI Research and Innovation RAMI rcsi.com/dublin/news-an…

Single-cell transcriptomes identify patient-tailored therapies for selective co-inhibition of cancer clones biorxiv.org/cgi/content/sh… #biorxiv_bioinfo

scType Marker-based cell type annotation for #SpatialTranscriptomics Visium Slide-seq Use positive + negative markers (from scTypeDB database with previously scRNAseq-identified cell type markers or custom marker genes), instead of deconvolution. R & Python

Want to find out more about #REMEDi4ALL researchers?🔬 Read about PhD student Kristen Nader's (FIMM HelsinkiUni) #DrugRepurposing research, career goals and chosen superpower in the latest edition of Early Career Researcher Insights⬇️ [loom.ly/s5cOAyY]

Researchers at FIMM have developed an effective computational platform that automatically identifies cell types from #SpatialTranscriptomics data. The method holds great potential for understanding tissue organisation in both health and disease. 💻⬇️ helsinki.fi/en/hilife-hels…

Single-cell transcriptomes identify patient-tailored therapies for selective co-inhibition of cancer clones Nature Communications Intratumoral cellular heterogeneity necessitates multi-targeting therapies for improved clinical benefits in advanced malignancies. However, systematic

scTherapy, a novel machine learning approach from Tero Aittokallio and colleagues, leverages single-cell transcriptomic profiles to identify multi-targeting treatment options for individual patients with hematological cancers or solid tumors. helsinki.fi/en/hilife-hels…

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