Browsing Wolfson Institute of Preventive Medicine by Author "Zaikin, A"
Now showing items 1-10 of 10
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Ensemble of correlation, parenclitic and synolitic graphs as a tool to detect universal changes in complex biological systems Comment on "Dynamic and thermodynamic models of adaptation" by AN Gorban et al.
Nazarenko, T; Blyuss, O; Whitwell, H; Zaikin, A (2021) -
Multi-Marker Longitudinal Algorithms Incorporating HE4 and CA125 in Ovarian Cancer Screening of Postmenopausal Women
Gentry-Maharaj, A; Blyuss, O; Ryan, A; Burnell, M; Karpinskyj, C; Gunu, R; Kalsi, JK; Dawnay, A; Marino, IP; Manchanda, R (MDPI, 2020-07) -
Parenclitic and Synolytic Networks Revisited
Nazarenko, T; Whitwell, HJ; Blyuss, O; Zaikin, A (2021) -
Parenclitic networks for predicting ovarian cancer.
Whitwell, HJ; Blyuss, O; Menon, U; Timms, JF; Zaikin, A (2018-04-27)Prediction and diagnosis of complex disease may not always be possible with a small number of biomarkers. Modern 'omics' technologies make it possible to cheaply and quantitatively assay hundreds of molecules generating ... -
PREDICTING RISK OF OVARIAN MALIGNANCY IMPROVED SCREENING AND EARLY DETECTION FEASIBILITY STUDY (PROMISE-FS)
Manchanda, R; Gaba, F; Bottla, K; Mousa, K; Burnell, M; Kalsi, J; Gentry-Maharaj, A; Antoniou, A; Blyuss, O; Zaikin, A (2017-11) -
A proteomic survival predictor for COVID-19 patients in intensive care.
Demichev, V; Tober-Lau, P; Nazarenko, T; Lemke, O; Kaur Aulakh, S; Whitwell, HJ; Röhl, A; Freiwald, A; Mittermaier, M; Szyrwiel, L (2022-01)Global healthcare systems are challenged by the COVID-19 pandemic. There is a need to optimize allocation of treatment and resources in intensive care, as clinically established risk assessments such as SOFA and APACHE II ... -
Serum biomarker-based early detection of pancreatic ductal adenocarcinomas with ensemble learning
Nene, NRR; Ney, A; Nazarenko, T; Blyuss, O; Johnston, HEE; Whitwell, HJJ; Sedlak, E; Gentry-Maharaj, A; Apostolidou, S; Costello, E (2023) -
Time series radiomics for the prediction of prostate cancer progression in patients on active surveillance
Sushentsev, N; Rundo, L; Abrego, L; Li, Z; Nazarenko, T; Warren, AY; Gnanapragasam, VJ; Sala, E; Zaikin, A; Barrett, T (2023) -
A time-resolved proteomic and prognostic map of COVID-19
Demichev, V; Tober-Lau, P; Lemke, O; Nazarenko, T; Thibeault, C; Whitwell, H; Roehl, A; Freiwald, A; Szyrwiel, L; Ludwig, D (2021) -
Using a Recurrent Neural Network To Inform the Use of Prostate-specific Antigen (PSA) and PSA Density for Dynamic Monitoring of the Risk of Prostate Cancer Progression on Active Surveillance
Sushentsev, N; Abrego, L; Colarieti, A; Sanmugalingam, N; Stanzione, A; Zawaideh, JP; Caglic, I; Zaikin, A; Blyuss, O; Barrett, T (2023)