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Georgina Cosma

Showing results (11-20 of 17) with videos related to

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Neural Networks : the Official Journal of the International Neural Network Society|November 15, 2019
A review of learning in biologically plausible spiking neural networksAboozar Taherkhani, Ammar Belatreche, Yuhua Li, et al.
Frontiers in Immunology|January 13, 2018
Identifying the Presence of Prostate Cancer in Individuals with PSA Levels <20 ng ml<sup>-1</sup> Using Computational Data Extraction Analysis of High Dimensional Peripheral Blood Flow Cytometric Phenotyping DataGeorgina Cosma, Stéphanie E McArdle, Stephen Reeder, et al.
Frontiers in Digital Health|April 11, 2025
Temporal patterns of multiple long-term conditions in individuals with intellectual disability living in Wales: an unsupervised clustering approach to disease trajectoriesRania Kousovista, Georgina Cosma, Emeka Abakasanga, et al.
BMJ Open|January 22, 2025
Nature and prevalence of long-term conditions in people with intellectual disability: retrospective longitudinal population-based studyGemma Lewin, Rania Kousovista, Emeka Abakasanga, et al.
Frontiers in Immunology|January 3, 2022
Prostate Cancer: Early Detection and Assessing Clinical Risk Using Deep Machine Learning of High Dimensional Peripheral Blood Flow Cytometric Phenotyping DataGeorgina Cosma, Stéphanie E McArdle, Gemma A Foulds, et al.
Frontiers in Digital Health|March 3, 2025
Equitable hospital length of stay prediction for patients with learning disabilities and multiple long-term conditions using machine learningEmeka Abakasanga, Rania Kousovista, Georgina Cosma, et al.
Elife|July 28, 2020
Identifying prostate cancer and its clinical risk in asymptomatic men using machine learning of high dimensional peripheral blood flow cytometric natural killer cell subset phenotyping dataSimon P Hood, Georgina Cosma, Gemma A Foulds, et al.
Pageof 2

Showing results (11-20 of 17) with videos related to

Sort By:
Pageof 2
You have reached the last page of results.This site can display upto 17 results.
Neural Networks : the Official Journal of the International Neural Network Society|November 15, 2019
A review of learning in biologically plausible spiking neural networksAboozar Taherkhani, Ammar Belatreche, Yuhua Li, et al.
Frontiers in Immunology|January 13, 2018
Identifying the Presence of Prostate Cancer in Individuals with PSA Levels <20 ng ml<sup>-1</sup> Using Computational Data Extraction Analysis of High Dimensional Peripheral Blood Flow Cytometric Phenotyping DataGeorgina Cosma, Stéphanie E McArdle, Stephen Reeder, et al.
Frontiers in Digital Health|April 11, 2025
Temporal patterns of multiple long-term conditions in individuals with intellectual disability living in Wales: an unsupervised clustering approach to disease trajectoriesRania Kousovista, Georgina Cosma, Emeka Abakasanga, et al.
BMJ Open|January 22, 2025
Nature and prevalence of long-term conditions in people with intellectual disability: retrospective longitudinal population-based studyGemma Lewin, Rania Kousovista, Emeka Abakasanga, et al.
Frontiers in Immunology|January 3, 2022
Prostate Cancer: Early Detection and Assessing Clinical Risk Using Deep Machine Learning of High Dimensional Peripheral Blood Flow Cytometric Phenotyping DataGeorgina Cosma, Stéphanie E McArdle, Gemma A Foulds, et al.
Frontiers in Digital Health|March 3, 2025
Equitable hospital length of stay prediction for patients with learning disabilities and multiple long-term conditions using machine learningEmeka Abakasanga, Rania Kousovista, Georgina Cosma, et al.
Elife|July 28, 2020
Identifying prostate cancer and its clinical risk in asymptomatic men using machine learning of high dimensional peripheral blood flow cytometric natural killer cell subset phenotyping dataSimon P Hood, Georgina Cosma, Gemma A Foulds, et al.
Pageof 2