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Solving data to enable precision therapy for all Follow us on LinkedIn for the latest news: https://teapaw.org/t.co/yfuxXvuKPX

Cambrigde, UK
Joined August 2022
Photo by Concr (@ConcrTweets)Photo by Concr (@ConcrTweets)Photo by Concr (@ConcrTweets)Photo by Concr (@ConcrTweets)Photo by Concr (@ConcrTweets)Photo by Concr (@ConcrTweets)Photo by Concr (@ConcrTweets)Photo by Concr (@ConcrTweets)Photo by Concr (@ConcrTweets)Photo by Concr (@ConcrTweets)
As world’s cancer research community prepares to gather at the ASCO Annual Meeting, catch up with our recent studies presented earlier this year at AACR: bit.ly/concr-event-aacr2023 #precisiononcology #MachineLearning #techbio #FromCosmologyToOncology
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Listen to our CEO Matt Foster discuss origins of Concr and how we work with partners to improve drug development to realise the promise of #PrecisionOncology in this episode of AI for Pharma Growth: bit.ly/concr-intro-8 #AI #MachineLearning #TechBio #FromCosmologyToOncology
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#LSXWorld Congress in only 2 days away! You’re invited to our showcase on 3rd May at 14.30 at the newly-established techbio stage, to find out more about our current work and plans for the future. bit.ly/concr-event-10 #techbio #precisiononcology #fromcosmologytooncology
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Having an #NHS medical oncologist as a Co-Founder and CSO doesn’t just mean that our predictions are clinically meaningful; it also ensures that Concr technology addresses unmet clinical needs, to the highest standards.
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It is designed to validate Concr modelling to predict drug responses and patient survival for women with early #TNBC by merging clinical information with genomic data, identifying which drugs will work and which won’t, before the patient has started treatment.
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Biomarkers hold the key to unlocking the links between intricate biological processes and clinical outcomes. For biomarkers to pave the way for reliable and accessible #PersonalisedMedicine, particularly in #cancer, they must be accurate, informative and cost-effective.
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In this piece, they explore how #biomarkers have already revolutionised the current clinical landscape, and what more needs to be done, in order to match more #cancer patients with safer, more effective and affordable therapies.
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If you're at #AACR23 today, then make sure to listen to Dr Aidan Kubeyev present on the results of the latest application of Concr’s prognostic #MachineLearning models on early #BreastCancer.
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Join Dr Matthew Griffiths and Dr Uzma Asghar in the poster hall (Section 33, Board Numbers 7 and 12) from 1:30 PM to learn about how Concr technology can differentiate tumours from other cell types from H&E slides, and identify tissue of origin from somatic mutation features.
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Concr will be attending the 9th #LSXWorld Congress in London next month. Our Head of Strategy, Dr Irina Babina, will join the representatives of leading #biotech, #medtech and #healthtech companies to discuss the future of healthcare and life sciences innovation.
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Find us at the TechBio Showcase on May 3rd at 2:30 PM or get in touch to book a 1:1 today! To find out more about Concr at LSX World Congress 2023: bit.ly/concr-event-10 #TechBio #LSXWorld #PrecisionMedicine #FromCosmologyToOncology
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Only three days left before #AACR23! With two posters and an oral presentation, there will be much to talk about! Come find us presenting on Tuesday 18th, or get in touch now to lock in a meeting with the Concr delegation: lnkd.in/gzVkfJkt
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What do ultramassive #BlackHoles and #Cancer have in common? They are “elusive, and their origins are unclear”. Additionally, both are studied by our Durham University collaborator, @JwNightingale22, who applied a technique called #GravitationalLensing to the discovery.
A team of #astronomers lead by @JwNightingale22 from @DurhamPhysics has discovered one of the biggest #blackholes ever found using light-bending gravity. Find out more about this research, published today by @RoyalAstroSoc here 👉 fal.cn/3wXWd #DUresearch
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The same statistical methodologies are at the heart of Concr’s algorithms aimed at unearthing #biomarkers of response to cancer treatments. To learn more about how Concr utilises this approach to make sense of disparate #oncology data: bit.ly/concr-exp-6 #TechBio
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