Oscar M Rueda
@OMRueda
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MRC Investigator, MRC BSU. University of Cambridge
Cambridge, England
Joined September 2021
Are you looking for a statistics/ML postdoc? Come to work with @antonis02 and me in the NEMO study, an international collaboration aiming to detect ovarian cancer earlier through cutting-edge multi-omics, funded by the Alliance for Cancer Early Detection.
cam.ac.uk
An exciting opportunity has arisen for a highly motivated Research Associate to join the Centre for Cancer Genetic Epidemiology (CCGE) at the Department of Public Health & Primary Care, University of
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Excited to share our latest work on monitoring response to treatment using ctDNA and shallow WGS using a Bayesian Model developed by @SolonSTATS with @CarlosC24501217, Emma Beddowes and Mario Ortega.
febs.onlinelibrary.wiley.com
There is an unmet need in metastatic breast cancer patients to monitor therapy response in real time. In this study, we show how a noninvasive and affordable strategy based on sequencing of plasma...
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RT @LiseMangiante: The Curtis Lab’s latest study on the genomic architecture of breast cancer from the pre-invasive to metastatic setting i….
nature.com
Nature - A study identifies three dominant genomic archetypes of breast cancer induced by discrete mutational processes, describing a continuum of genomic profiles and detailing the mechanisms...
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RT @MRC_BSU: New #BreastCancer Research published in @AACR Cancer Research - PDXs can predict patient drug responses and model phenotypic….
aacrjournals.org
Patient-derived tumor xenografts from treatment-naïve breast cancer samples can predict patient drug responses and model treatment-induced phenotypic and functional evolution, making them valuable...
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Thanks to everyone involved in this project!!! Well done @Abigail_Shea1 !!!.
Thanks to @PaedCancerEvol, @Abigail_Shea1, @OMRueda and @CarlosC24501217 for letting me be part of this beautiful project! And the patients! It was a blast to work with all of you! The rock star @Abigail_Shea1 for leading the project!🌟.Link to article:
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Amazing new paper!!! Well done Daniel and the rest of the team!!!.
Thrilled to share that our paper is out!📢This marks my first co-second (wth @y_lubling) authorship collab during my PhD—couldn't be prouder of our team's work "Modeling TNBC drug responses with patient-derived xenografts opens doors to precision medicine strategies" @CR_AACR 1/n.
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RT @DannGuerreroR: One year ago, I had the great opportunity to try my first grant project I got PhD award scheme during for this multi-omi….
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RT @MarcoBarreca3: 🎉 I’m thrilled to announce that our new scientific article has been published in @Nature_NPJ Precision Oncology! In this….
nature.com
npj Precision Oncology - Development and validation of a gene expression-based Breast Cancer Purity Score
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RT @stephensammut: How does immune failure enable metastasis and evolution in breast cancer? . Join us for a computational #singlecell #PhD….
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The Armitage conference is coming in November! This year it is dedicated to the work of Prof. Peter Armitage and it has a very exciting program.
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It has been a pleasure having you in the unit, Scott!!.
It's been a pleasure to have interns with us again this summer. Heather, Scott, Hongda, Luke, Ted and Tudor completed there #Internships by each presenting on the projects they have been working on 🤩👏. @Cambridge_Uni
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RT @MRC_BSU: Many congratulations to @pauldwkirk on being promoted to Principal Research Associate, co-leading our new Biostatistical Machi….
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See below a great opportunity to start your independent career in an excellent environment!!!.
📢 Our exciting new Biostatistical Machine Learning theme is recruiting for 2 new roles 👇. Independent Junior Group Leader. Research Associate. #MachineLearning #ArtificialIntelligence #DataScience @pauldwkirk @Cambridge_Uni
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Great work by Izzy!.
Interested in how we can use #AI to help detect and diagnose cancer?. We share our findings in our paper published in Biology Methods & Protocols 🕵️♂️ 🧬 #EarlyCancerDetection. 🧵Tweetorial below. 1/12.
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