Concr

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-aa… #precisiononcology #MachineLearning #techbio #FromCosmologyToOncology

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

#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

To access the story and learn more about VISION: bit.ly/concr-intro-7 #SaMD #Genomics #ClinicalTrials #BreastCancer #PrecisionOncology #FromCosmologyToOncology

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.

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.

To read the article: bit.ly/concr-explaine… #TechBio #Biomarkers #CancerResearch #PrecisionOncology #FromCosmologyToOncology

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.

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.

For more information about the Concr presentation and posters: bit.ly/concr-event-7 #TechBio #Cancer #MachineLearning #TranslationalOncology #FromCosmologyToOncology

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.

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.

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

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.

For more information about Concr at #AACR23: lnkd.in/gtgnpWh5 #TechBio #Cancer #MachineLearning #TranslationalOncology #FromCosmologyToOncology

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

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

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.