Concr

Concr has been a member of Linktree for 3 years and joined in June 2023. The social media accounts linked to from Concr are: • LinkedIn • Email Besides social media accounts, concrspace has populated their site with: • De-risking pipeline economics and market access • Transparent AI in Clinical Trials • Digital Controls for Cancer Drug Trials • The New Reality of Living Long with Cancer: Interviewing Andrew Biankin • Interview with 9AM Business • FarrSight® Platform for Drug Developers • Personalised therapy in CUP: A feasibility study of Bayesian AI digital twins using ctDNA • Artificial intelligence’s role in cancer diagnosis • Using AI-generated molecular digital twins to predict chemotherapy response in cancer • Conserved facultative heterochromatin across cell types identify regulatory sequences underpinning cell identity and disease | Nucleic Acids Research | Oxford Academic • The Dark Matter of Oncology - SoTA Letters • Bayesian Digital Twins Show Potential For Predicting Prognosis And Treatment Response • How Bayesian-inspired uncertainty management could shape the future of trustworthy AI - • Bayesian Theory, Oncology & Digital Twins for Cancer: Irina Babina, Concr • Personalised therapy in triple-negative breast cancer with Bayesian Digital Twins • Brief report: Unlocking the potential of ‘other’ cancers • Partner pre-publication: Epigenetic constraint of cellular genomes links genetic variation to function • Nouveaux résultats suggérant l'intérêt d'un "jumeau numérique" pour choisir le meilleur anticancéreux - TICpharma • In press: The Times • In press: genomeweb • Schedule a meeting / demo • A Bayesian foundation model of cancer biology predicts optimal treatment for individual patients and clinical trial results. • Scientists Develop a ‘Digital Twin’ Model to Predict Cancer Treatment Responses - ASCO Post • 'Digital twin' could help predict how well cancer treatments may work - Scimex • Digital twins of cancer patients predict effectiveness of treatments - The Engineer • Late-Breaking Abstract: ENA Symposium Poster on AML #517 • Concr to present latest results at ENA-2024 • Patient Data Is an Asset and a Liability—Experts Advice • NHS, academia & industry unite on digital health innovation • ‘Going into industry’ is still a dirty phrase for academia. We need to change this | Sifted • Podcast: From Dark Matter to Digital Twins • Already using Scientist.com? Submit your request directly • Regulating complexity in AI-enabled omics and multi-omics technologies for precision medicine | npj Digital Medicine • PharmaPhorum: How predictive analysis can shift the research imbalance • Europe's emerging cancer tech startups: Concr • Cambridge Enterprise features Concr in review • Cambridge Angels interviews Concr's CEO • Concr is Hello Tomorrow finalist! • Application of digital twins for personalized oncology - Nature Reviews Cancer • Improving outcomes of patients with pancreatic cancer - Nature Reviews Clinical Oncology • Sifted spotlight on Concr • Feature: European HealthTech Market Map 2025 - AlbionVC • Technology Networks Feature: How Astrophysics Is Powering Cancer Innovation • Predicting tissue of origin from somatic mutation features • A prognostic machine learning model for early breast cancer • Identification and differentiation of cells from H&E slides in breast cancer • AACR posters • Cure: Breaking Cancer’s Breakthrough Bottleneck • Blueprint for Change: shaping the future of clinical development • Introduction to Concr • Improving Precision Oncology - Concr's approach • Concr announces new partnership with CariGenetics • First patients recruited to Concr's trial of response prediction in breast cancer • New government tech deals boost the business of cancer detection • Concr secures Innovate UK grant • Concr predicts trial outcomes in silico • Two trials reveal ‘hidden’ cancer for Christie patient • Partnerships • Latest news • About us