Genialis builds in silico models of disease biology to advance discovery & de-risk development of novel therapeutics.
Very cool paper! Deep learning classifier of cancer pathology using whole transcriptome data. The possibilities seem endless for extending algorithms like these to more specific stratification challenges in oncology. @Genialis https://twitter.com/deepgradient/status/1194087817233797120
I'm thrilled to share my last paper.
DeePathology: Deep Multi-Task Learning for Inferring Molecular Pathology from Cancer Transcriptome | Scientific Reports - https://www.nature.com/articles/s41598-019-52937-5
@kieranrcampbell @MarzyehGhassemi @quaidmorris @mathoncoblog @anshulkundaje
Thread: real patient encounters at #SITC2019
At #sitc2019, listening to Dr. Stephen Ansell (Mayo) speaking on Perturbations in T cell Populations Within the Tumor Microenvironment of Hematologic Cancers
Join @RecursionPharma’s @TinaMarrLarson with Genialis’ @rafecooks to discuss revolutionizing #drugdiscovery through lab automation, #AI and an uncompromising focus on people. Listen to #talkingprecisionmedicine here or wherever you get your podcasts.
Another partnership to celebrate: Our portfolio company @Genialis joined forces with #thermofisher. 🤝
Genialis' mission has always been to empower scientists to tackle our most urgent challenges. This new partnership with @thermofisher joins two great sets of tools and makes them accessible to biomedical researchers everywhere! #NGS #RNAseq https://twitter.com/FirstStarVC/status/1189286726033915905
Genialis believes #RNAseq is an indispensable tool for bio R&D from basic research to patient #biomarkers & the long road in between. We’ve partnered with @thermofisher to put world class tools in the hands of scientists to empower discovery.