Concr
Solving data to enable precision therapy for all
Fall 2025 Presentations
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NHS, academia & industry unite on digital health innovation
NHS, academia & industry unite on digital health innovation
The integration of large-scale genomic and multimodal data is critical to advancing oncology research. However, challenges related to data storage, sharing, and governance hinder its effective use. We share experience from conducting a multi-site, cross-industry UK project utilising large-scale genomic data obtained from tissue and liquid biopsies from patients with cancer, to produce recommendations for enabling and optimising the use of multimodal data in oncology research.
Application of digital twins for personalized oncology - Nature Reviews Cancer
Application of digital twins for personalized oncology - Nature Reviews Cancer
Digital twins are virtual representations that evolve over time with new data inputs. In this Comment, Asghar and Chung describe cancer applications of digital twins that include the integration of molecular information and individual drug responses of patients, and explain how they can inform individualized treatment, accelerate drug development through clinical trial simulation and enable the exploration of multiscale relationships in the entire human body to drive new therapeutic discoveries.
Feature: European HealthTech Market Map 2025 - AlbionVC
Feature: European HealthTech Market Map 2025 - AlbionVC
Improving outcomes of patients with pancreatic cancer - Nature Reviews Clinical Oncology
Improving outcomes of patients with pancreatic cancer - Nature Reviews Clinical Oncology
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We are now a registered supplier with Scientist.com! Save time and submit your request directly
Technology Networks Feature: How Astrophysics Is Powering Cancer Innovation
Technology Networks Feature: How Astrophysics Is Powering Cancer Innovation
New report: 'other' cancers and ML
PharmaPhorum: How predictive analysis can shift the research imbalance
PharmaPhorum: How predictive analysis can shift the research imbalance
Discover how predictive analysis can address the oncological 'other' and shift the research imbalance in cancer research. Explore innovative approaches to improve outcomes and advance treatment options.
Brief report: Unlocking the potential of ‘other’ cancers
Brief report: Unlocking the potential of ‘other’ cancers
Cure: Breaking Cancer’s Breakthrough Bottleneck
Cure: Breaking Cancer’s Breakthrough Bottleneck
Blueprint for Change: shaping the future of clinical development
Blueprint for Change: shaping the future of clinical development
Partner pre-publication: Epigenetic constraint of cellular genomes links genetic variation to function
Partner pre-publication: Epigenetic constraint of cellular genomes links genetic variation to function
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Introduction to Concr
Improving Precision Oncology - Concr's approach
Improving Precision Oncology - Concr's approach
Concr announces new partnership with CariGenetics
Concr announces new partnership with CariGenetics
ENA Symposium 2024
Late-Breaking Abstract: ENA Symposium Poster on AML #517
Late-Breaking Abstract: ENA Symposium Poster on AML #517
Scientists Develop a ‘Digital Twin’ Model to Predict Cancer Treatment Responses - ASCO Post
Scientists Develop a ‘Digital Twin’ Model to Predict Cancer Treatment Responses - ASCO Post
A “digital twin” model constructed from the clinical and molecular profiles of patients with cancer may accurately predict how a patient is likely to respond to a specific chemotherapy.
Digital twins of cancer patients predict effectiveness of treatments - The Engineer
Digital twins of cancer patients predict effectiveness of treatments - The Engineer
Nouveaux résultats suggérant l'intérêt d'un "jumeau numérique" pour choisir le meilleur anticancéreux - TICpharma
Nouveaux résultats suggérant l'intérêt d'un "jumeau numérique" pour choisir le meilleur anticancéreux - TICpharma
TICpharma.com est un site d'informations sur la transformation digitale des industries de sant�.
'Digital twin' could help predict how well cancer treatments may work - Scimex
'Digital twin' could help predict how well cancer treatments may work - Scimex
Concr to present latest results at ENA-2024
Concr to present latest results at ENA-2024
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First patients recruited to Concr's trial of response prediction in breast cancer
First patients recruited to Concr's trial of response prediction in breast cancer
New government tech deals boost the business of cancer detection
New government tech deals boost the business of cancer detection
Concr secures Innovate UK grant
Concr secures Innovate UK grant
Concr predicts trial outcomes in silico
Concr predicts trial outcomes in silico
Two trials reveal ‘hidden’ cancer for Christie patient
Two trials reveal ‘hidden’ cancer for Christie patient
Concr in the media
Sifted spotlight on Concr
Sifted spotlight on Concr
UK and Australia-based startup, Concr, uses methods from astrophysics to predict cancer patients' treatment responses and outcomes.
In press: The Times
In press: The Times
Astronomers are teaming up with the NHS to solve the mystery of cancer patients whose tumours cannot be traced. Thousands of people a year are diagnosed with ca
In press: genomeweb
In press: genomeweb
The firm will use its AI-based platform to create "digital twins" of TNBC patients and predict neoadjuvant treatment response.
Cambridge Angels interviews Concr's CEO
Cambridge Angels interviews Concr's CEO
Cambridge Enterprise features Concr in review
Cambridge Enterprise features Concr in review
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Europe's emerging cancer tech startups: Concr
Europe's emerging cancer tech startups: Concr
Concr is Hello Tomorrow finalist!
Concr is Hello Tomorrow finalist!
Discover cutting-edge startups in Advanced Computing, Aerospace, Health Tech, Energy, Environment, Food & Agri, Biotech, Industry, Medicine, and Construction at the Hello Tomorrow Global Summit
AACR Annual Meeting 2023
AACR posters
AACR posters
Predicting tissue of origin from somatic mutation features
Predicting tissue of origin from somatic mutation features
Abstract. Background: Predicting tissue of origin (ToO) using clinical and molecular data improves diagnostic accuracy up to 95% in patients with Cancer
A prognostic machine learning model for early breast cancer
A prognostic machine learning model for early breast cancer
Abstract. Background: Accurate modelling of the impact of patient-specific features and cancer treatments on survival allows the assignment of targeted
Identification and differentiation of cells from H&E slides in breast cancer
Identification and differentiation of cells from H&E slides in breast cancer
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