News
February 2024
CRUK Data Driven conference:
Nuanced insights into how different risk factors operate together to influence prostate cancer risk, found using Saddle Point Science's advanced risk signature algorithms, were presented at the CRUK Data-Driven Cancer Research conference in Manchester. In this fruitful collaboration between the Translational Oncology and Urology Research (TOUR) group at King's College London and the Karolinska Institutet in Sweden, robust epidemiological data from the AMORIS cohort were analysed using the SaddlePoint-Signature software. The advanced algorithms of SaddlePoint-Signature, which incorporate both multiple guards against over-fitting and compensation against systematic biases, were used to their full advantage to study many interacting risk factors together, something that wouldn't be feasible at low event numbers with standard regression methods, to develop robust signatures that predict prostate cancer risk.
March 2023
Saddle Point Science software is being applied in a LifeArc funded project to go deeper into TACTIC-R clinical trial data. Led by Dr Shahram Kordasti of King's College London, the project will see the advanced survival analysis algorithms of SaddlePoint-Signature and SaddlePoint-Mosaics used to investigate COVID-19 disease heterogeneity with the aim of developing models to predict both response to therapy and warning signs of poor clinical outcome.
March 2022
Early results from the application of Saddle Point Science software to data from the ReIMAGINE consortium were showcased at the EAU23 conference in Milan, Italy. The necessity for cutting-edge analysis methods to optimally and robustly extract information from ambitious clinical trials was highlighted in the presentation: "The need for advanced analytical methods for big data in urology: A first application from the ReIMAGINE risk study".
October 2023
Saddle Point Science started its work on HERD, a CRUK-funded project, leading on the development and application of Bayesian mathematical models. The aim of HERD, a collaboration involving King's College London, the National Cancer Centre of Singapore, University College London, and the University of Cambridge, is to derive a robust risk model to predict recurrence of head and neck cancer
May 2023
Algorithms developed by Saddle Point Science in the PHASE project, to predict recovery trajectory after stroke, have been installed on Eodyne's servers for use in RGS platform, ahead of extensive testing in Eodyne's RGS platform before their deployment in feasibility study...
November 2021
Saddle Point Science started work on the Personalized Health Assistance SystEm (PHASE) project, which aims to develop and validate a scalable solution for home-based rehabilitation and monitoring after stroke. PHASE is a Eureka Eurostars collaboration with Eodyne Systems of Spain, co-funded by the UK's innovation agency, Innovate UK.
