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Research

Publications: Dr Oleg Blyuss

Vos T, Hanson SW, Abbafati C, Aerts JG, Al-Aly Z, Ashbaugh C, Ballouz T, Blyuss O et al. ( 2022 ) . Estimated Global Proportions of Individuals with Persistent Fatigue, Cognitive, and Respiratory Symptom Clusters Following Symptomatic COVID-19 in 2020 and 2021 . JAMA vol. 328 , ( 16 ) 1604 - 1615 .
Pantelidou M, Caglic I, George A, Blyuss O, Gnanapragasam VJ, Barrett T ( 2022 ) . Evaluation of transabdominal and transperineal ultrasound-derived prostate specific antigen (PSA) density and clinical utility compared to MRI prostate volumes: A feasibility study . PLoS ONE vol. 17 , ( 9 September )
Armocida B, Monasta L, Sawyer S, Bustreo F, Segafredo G, Castelpietra G, Ronfani L, Pasovic M et al. ( 2022 ) . Burden of non-communicable diseases among adolescents aged 10–24 years in the EU, 1990–2019: a systematic analysis of the Global Burden of Diseases Study 2019 . The Lancet Child and Adolescent Health vol. 6 , ( 6 ) 367 - 383 .
Wulf Hanson S, Abbafati C, Aerts JG, Al-Aly Z, Ashbaugh C, Ballouz T, Blyuss O, Bobkova P et al. ( 2022 ) . A global systematic analysis of the occurrence, severity, and recovery pattern of long COVID in 2020 and 2021 .
Osmanov IM, Spiridonova E, Bobkova P, Gamirova A, Shikhaleva A, Andreeva M, Blyuss O, El-Taravi Y et al. ( 2022 ) . Risk factors for long covid in previously hospitalised children using the ISARIC Global follow-up protocol: A prospective cohort study . European Respiratory Journal vol. 59 , ( 2 )
Demichev V, Tober-Lau P, Nazarenko T, Lemke O, Kaur Aulakh S, Whitwell HJ, Röhl A, Freiwald A et al. ( 2022 ) . A proteomic survival predictor for COVID-19 patients in intensive care . PLOS Digital Health vol. 1 , ( 1 )
Blyuss O, Dibden A, Massat NJ, Parmar D, Cuzick J, Duffy SW, Sasieni P ( 2022 ) . A case–control study to evaluate the impact of the breast screening programme on breast cancer incidence in England . Cancer Medicine
Kiseleva E, Prytomanova O, Hart L, Blyuss O ( 2022 ) . Application of the Theory of Optimal Set Partitioning for Constructing Fuzzy Voronoi Diagrams . vol. 1022 ,
Kocarnik JM, Compton K, Dean FE, Fu W, Gaw BL, Harvey JD, Henrikson HJ, Lu D et al. ( 2022 ) . Cancer Incidence, Mortality, Years of Life Lost, Years Lived With Disability, and Disability-Adjusted Life Years for 29 Cancer Groups From 2010 to 2019 A Systematic Analysis for the Global Burden of Disease Study 2019 . JAMA Oncology vol. 8 , ( 3 ) 420 - 444 .
Sushentsev N, Rundo L, Blyuss O, Nazarenko T, Suvorov A, Gnanapragasam VJ, Sala E, Barrett T ( 2022 ) . Comparative performance of MRI-derived PRECISE scores and delta-radiomics models for the prediction of prostate cancer progression in patients on active surveillance . European Radiology vol. 32 , ( 1 ) 680 - 689 .
Debernardi S, Blyuss O, Rycyk D, Srivastava K, Jeon CY, Cai H, Cai Q, Shu XO et al. ( 2022 ) . Urine biomarkers enable pancreatic cancer detection up to 2 years before diagnosis . International Journal of Cancer
Bulanov NM, Suvorov AY, Blyuss OB, Munblit DB, Butnaru DV, Nadinskaia MY, Zaikin AA ( 2021 ) . Basic principles of descriptive statistics in medical research . Sechenov Medical Journal vol. 12 , ( 3 ) 4 - 16 .
Sushentsev N, Rundo L, Blyuss O, Gnanapragasam VJ, Sala E, Barrett T ( 2021 ) . MRI-derived radiomics model for baseline prediction of prostate cancer progression on active surveillance . Scientific Reports vol. 11 , ( 1 )
Nazarenko T, Whitwell HJ, Blyuss O, Zaikin A ( 2021 ) . Parenclitic and Synolytic Networks Revisited . Frontiers in Genetics vol. 12 ,
Gaba F, Blyuss O, Rodriguez I, Dilley J, Wan Y, Saiz A, Razumova Z, Zalewski K et al. ( 2021 ) . 984 Impact of SARS-CoV-2 on training and mental wellbeing of surgical gynaecological oncology trainees . International Journal of Gynecological Cancer . Conference: Miscellaneous vol. 31 , a169 - a169 .
Gaba F, Bizzarri N, Kamfwa P, Saiz A, Blyuss O, Paranjothy S, Ramirez P, Cibula D ( 2021 ) . 985 Post-Operative Morbidity & Mortality following Gynaecological Oncology Surgery: Protocol for a Global Prospective Cohort Study (GO SOAR1) . International Journal of Gynecological Cancer . Conference: Miscellaneous vol. 31 , a169 - a170 .
Gaba F, Bizzarri N, Kamfwa P, Saiz A, Blyuss O, Paranjothy S, Ramirez PT, Cibula D ( 2021 ) . Determining post-operative morbidity and mortality following gynecological oncology surgery: Protocol for a multicenter, international, prospective cohort study (Global Gynaecological Oncology Surgical Outcomes Collaborative - GO SOAR) . International Journal of Gynecological Cancer vol. 31 , ( 9 ) 1287 - 1291 .
Nazarenko T, Blyuss O, Whitwell H, Zaikin A ( 2021 ) . 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 A.N. Gorban et al . Physics of Life Reviews vol. 38 , 120 - 123 .
Chandrasekaran D, Sobocan M, Blyuss O, Miller RE, Evans O, Crusz SM, Mills-Baldock T, Sun L et al. ( 2021 ) . Implementation of multigene germline and parallel somatic genetic testing in epithelial ovarian cancer: Signpost study . Cancers vol. 13 , ( 17 )
Munblit D, Bobkova P, Spiridonova E, Shikhaleva A, Gamirova A, Blyuss O, Nekliudov N, Bugaeva P et al. ( 2021 ) . Incidence and risk factors for persistent symptoms in adults previously hospitalized for COVID-19 . Clinical and Experimental Allergy vol. 51 , ( 9 ) 1107 - 1120 .
Demichev V, Tober-Lau P, Lemke O, Nazarenko T, Thibeault C, Whitwell H, Röhl A, Freiwald A et al. ( 2021 ) . A time-resolved proteomic and prognostic map of COVID-19 . Cell Systems vol. 12 , ( 8 ) 780 - 794.e7 .
Mariño IP, Vázquez MA, Blyuss O, Ryan A, Gentry-Maharaj A, Kalsi J, Manchanda R, Jacobs I et al. ( 2021 ) . Computational learning methods for early detection of ovarian cancer . Conference: Emerging Topics in Artificial Intelligence (ETAI) 2021
Gaba F, Blyuss O, Manchanda R ( 2021 ) . Impact of SARS-CoV-2 on Training and Mental Well-being of Surgical Gynaecological Oncology Trainees . International Journal of Gynecological Cancer
Munblit D, Nekliudov NA, Bugaeva P, Blyuss O, Kislova M, Listovskaya E, Gamirova A, Shikhaleva A et al. ( 2021 ) . Stop COVID Cohort: An Observational Study of 3480 Patients Admitted to the Sechenov University Hospital Network in Moscow City for Suspected Coronavirus Disease 2019 (COVID-19) Infection . Clinical Infectious Diseases vol. 73 , ( 1 ) 1 - 11 .
Munblit D, Nekliudov NA, Bugaeva P, Blyuss O, Timashev P, Warner JO, Comberiati P, Apfelbacher C et al. ( 2021 ) . Reply to Russo et al . Clinical Infectious Diseases vol. 72 , ( 12 ) E1159 - E1160 .
Greenhawt M, Kimball S, DunnGalvin A, Abrams EM, Shaker MS, Mosnaim G, Comberiati P, Nekliudov NA et al. ( 2021 ) . Media Influence on Anxiety, Health Utility, and Health Beliefs Early in the SARS-CoV-2 Pandemic—a Survey Study . Journal of General Internal Medicine vol. 36 , ( 5 ) 1327 - 1337 .
Bulanov NM, Blyuss OB, Munblit DB, Nekliudov NA, Butnaru DV, Kodzoeva KB, Nadinskaya MY, Zaikin AA ( 2021 ) . Studies and research design in medicine . Sechenov Medical Journal vol. 12 , ( 1 ) 4 - 17 .
Bulanov NМ, Blyuss OB, Munblit DB, Nazarenko TV, Butnaru DV, Nadinskaia MY, Zaikin AA ( 2021 ) . Venn diagrams and probability in clinical research . Sechenov Medical Journal vol. 11 , ( 4 ) 5 - 14 .
Gaba F, Blyuss O, Chandrasekaran D, Osman M, Goyal S, Gan C, Izatt L, Tripathi V et al. ( 2021 ) . Attitudes towards risk-reducing early salpingectomy with delayed oophorectomy for ovarian cancer prevention: a cohort study . BJOG: An International Journal of Obstetrics and Gynaecology vol. 128 , ( 4 ) 714 - 726 .
Di Blasi R, Blyuss O, Timms JF, Conole D, Ceroni F, Whitwell HJ ( 2021 ) . Non-Histone Protein Methylation: Biological Significance and Bioengineering Potential . ACS Chemical Biology vol. 16 , ( 2 ) 238 - 250 .
Benton SC, Piggott C, Blyuss O, Li SJ, Mathews C, Carroll M, Duffy S ( 2021 ) . Impact of changing from a guaiac faecal occult blood test to a faecal immunochemical test in a national screening programme: Results from a pilot study within the national bowel cancer screening programme in England . Journal of Medical Screening
Debernardi S, O'Brien H, Algahmdi AS, Malats N, Stewart GD, Pljesa-Ercegovac M, Costello E, Greenhalf W et al. ( 2020 ) . A combination of urinary biomarker panel and PancRISK score for earlier detection of pancreatic cancer: A case-control study . PLoS Medicine vol. 17 , ( 12 )
Gaba F, Blyuss O, Sanderson S, Antoniou A, Kalsi J, Wallace A, Menon U, Legood R et al. ( 2020 ) . 401 Population testing and personalised ovarian cancer risk prediction for risk adapted targeted prevention . Conference: Prevention of gynaecologic cancera93.1 - a9a93 .
Gaba F, Blyuss O, Legood R, Izatt L, Tripathi V, Ragupathy K, Crawfordd R, Evans DG et al. ( 2020 ) . 505 Attitudes towards risk reducing early salpingectomy with delayed oophorectomy for ovarian cancer prevention: a cohort study . International Journal of Gynecological Cancer . Conference: Prevention of gynaecologic cancer vol. 30 , a93 - a94 .
Crnogorac-Jurcevic T, Debernardi S, Jach D, Brezgyte G, Ney A, Pereira SP, Greenhalf W, Wilson P et al. ( 2020 ) . EARLY DETECTION OF PANCREATIC ADENOCARCINOMA IN ‘AT-RISK’ POPULATIONS USING A BIOMARKER PANEL IN URINE (UROPANC) . Pancreatology vol. 20 , ( 8 )
Debernardi S, Jach D, Brezgyte G, Blyuss O, Crnogorac-Jurcevic T ( 2020 ) . A combination of urinary biomarker panel and PancRISK score for earlier detection of pancreatic cancer . Pancreatology vol. 20 ,
Blyuss O, Crnogorac-Jurcevic T ( 2020 ) . Response to the comment on “Development of PancRISK, a urine biomarker-based risk score for stratified screening of pancreatic cancer patients” . British Journal of Cancer vol. 123 , ( 9 )
Duffy S, Vulkan D, Cuckle H, Parmar D, Sheikh S, Smith R, Evans A, Blyuss O et al. ( 2020 ) . Annual mammographic screening to reduce breast cancer mortality in women from age 40 years: Long-term follow-up of the uk age rct . Health Technology Assessment vol. 24 , ( 55 ) 1 - 24 .
Duffy SW, Vulkan D, Cuckle H, Parmar D, Sheikh S, Smith RA, Evans A, Blyuss O et al. ( 2020 ) . Effect of mammographic screening from age 40 years on breast cancer mortality (UK Age trial): final results of a randomised, controlled trial . The Lancet Oncology vol. 21 , ( 9 ) 1165 - 1172 .
Nekliudov NA, Blyuss O, Cheung KY, Petrou L, Genuneit J, Sushentsev N, Levadnaya A, Comberiati P et al. ( 2020 ) . Excessive media consumption about COVID-19 is associated with increased state anxiety: Outcomes of a large online survey in Russia . Journal of Medical Internet Research vol. 22 , ( 9 )
Turankova T, Blyuss O, Brazhnikov A, Svistunov A, Gurusamy KS, Pavlov CS ( 2020 ) . Transient elastography with controlled attenuation parameter (CAP) for diagnosis of moderate or severe steatosis in people with suspected non-alcoholic fatty liver disease . Cochrane Database of Systematic Reviews vol. 2020 , ( 7 )
Gentry-Maharaj A, Blyuss O, Ryan A, Burnell M, Karpinskyj C, Gunu R, Kalsi JK, Dawnay A et al. ( 2020 ) . Multi-marker longitudinal algorithms incorporating HE4 and CA125 in ovarian cancer screening of postmenopausal women . Cancers vol. 12 , ( 7 ) 1 - 12 .
MacInnes EG, Duffy SW, Simpson JA, Wallis MG, Turnbull AE, Wilkinson LS, Satchithananda K, Rahim R et al. ( 2020 ) . Radiological audit of interval breast cancers: Estimation of tumour growth rates . Breast vol. 51 , 114 - 119 .
Whitwell HJ, Bacalini MG, Blyuss O, Chen S, Garagnani P, Gordleeva SY, Jalan S, Ivanchenko M et al. ( 2020 ) . The Human Body as a Super Network: Digital Methods to Analyze the Propagation of Aging . Frontiers in Aging Neuroscience vol. 12 ,
Gaba F, Blyuss O, Liu X, Goyal S, Lahoti N, Chandrasekaran D, Kurzer M, Kalsi J et al. ( 2020 ) . Population study of ovarian cancer risk prediction for targeted screening and prevention . Cancers vol. 12 , ( 5 )
MacInnes EGE, Duffy SW, Simpson JA, Wallis MG, Turnbull AE, Wilkinson LS, Satchithananda K, Rahim R et al. ( 2020 ) . Tumour volume doubling times: clinicopathological factors that correlate with increased growth rates . BREAST CANCER RESEARCH AND TREATMENT . vol. 180 , 555 - 555 .
Schilling K, Larner F, Saad A, Roberts R, Kocher HM, Blyuss O, Halliday AN, Crnogorac-Jurcevic T ( 2020 ) . Urine metallomics signature as an indicator of pancreatic cancer . Metallomics: integrated biometal science
Whitwell HJ, Worthington J, Blyuss O, Gentry-Maharaj A, Ryan A, Gunu R, Kalsi J, Menon U et al. ( 2020 ) . Improved early detection of ovarian cancer using longitudinal multimarker models . British Journal of Cancer vol. 122 , ( 6 ) 847 - 856 .
Blyuss O, Zaikin A, Cherepanova V, Munblit D, Kiseleva EM, Prytomanova OM, Duffy SW, Crnogorac-Jurcevic T ( 2020 ) . Development of PancRISK, a urine biomarker-based risk score for stratified screening of pancreatic cancer patients . British Journal of Cancer vol. 122 , ( 5 ) 692 - 696 .
Korsunskiy I, Blyuss O, Gordukova M, Davydova N, Zaikin A, Zinovieva N, Zimin S, Molchanov R et al. ( 2020 ) . Expanding TREC and KREC Utility in Primary Immunodeficiency Diseases Diagnosis . Frontiers in Immunology vol. 11 ,
Li SJ, Sharples LD, Benton SC, Blyuss O, Mathews C, Sasieni P, Duffy SW ( 2020 ) . Faecal immunochemical testing in bowel cancer screening: Estimating outcomes for different diagnostic policies . Journal of Medical Screening
Blyuss O, Cheung KY, Chen J, Parr C, Petrou L, Komarova A, Kokina M, Luzan P et al. ( 2019 ) . Statistical approaches in the studies assessing associations between human milk immune composition and allergic diseases: A scoping review . Nutrients vol. 11 , ( 10 )
Khaleva E, Gridneva Z, Geddes DT, Oddy WH, Colicino S, Blyuss O, Boyle RJ, Warner JO et al. ( 2019 ) . Transforming growth factor beta in human milk and allergic outcomes in children: A systematic review . Clinical and Experimental Allergy vol. 49 , ( 9 ) 1201 - 1213 .
Rebolj M, Blyuss O, Chia KS, Duffy SW ( 2019 ) . Long-term excess risk of breast cancer after a single breast density measurement . European Journal of Cancer vol. 117 , 41 - 47 .
Peshko D, Kulbachinskaya E, Korsunskiy I, Kondrikova E, Pulvirenti F, Quinti I, Blyuss O, Dunn Galvin A et al. ( 2019 ) . Health-Related Quality of Life in Children and Adults with Primary Immunodeficiencies: A Systematic Review and Meta-Analysis . Journal of Allergy and Clinical Immunology: In Practice vol. 7 , ( 6 ) 1929 - 1957.e5 .
Blyuss O, Duffy S, Crnogorac-Jurcevic T ( 2019 ) . Development of a biomarker panel risk score, PancRISK, for early detection of pancreatic cancer .
Irungu S, Mavrelos D, Worthington J, Blyuss O, Saridogan E, Timms JF ( 2019 ) . Discovery of non-invasive biomarkers for the diagnosis of endometriosis . Clinical Proteomics vol. 16 , ( 1 )
Bulat AF, Eliseev VI, Sovit YP, Molchanov RN, Blyuss O ( 2019 ) . Mathematical modeling of the convectivediffusive mass transfer in a hemodialysis cell . Reports of the National Academy of Sciences of Ukraine vol. 2 , ( 2 ) 40 - 44 .
Saso A, Blyuss O, Munblit D, Faal A, Moore SE, Le Doare K ( 2019 ) . Breast milk cytokines and early growth in Gambian infants . Frontiers in Pediatrics vol. 6 , ( JAN )
Rebolj M, Parmar D, Maroni R, Blyuss O, Duffy SW ( 2019 ) . Concurrent participation in screening for cervical, breast, and bowel cancer in England . Journal of Medical Screening
Korsunskiy I, Blyuss O, Gordukova M, Davydova N, Gordleeva S, Molchanov R, Asmanov A, Peshko D et al. ( 2019 ) . TREC and KREC levels as a predictors of lymphocyte subpopulations measured by flow cytometry . Frontiers in Physiology vol. 10 , ( JAN )
Manchanda R, Blyuss O, Gaba F, Gordeev VS, Jacobs C, Burnell M, Gan C, Taylor R et al. ( 2018 ) . Current detection rates and time-to-detection of all identifiable BRCA carriers in the Greater London population . Journal of Medical Genetics vol. 55 , ( 8 ) 538 - 545 .
Korsunskiy I, Blyuss O, Gordukova M, Davydova N, Zaikin A, Zinovieva N, Zimin S, Salpagarova A et al. ( 2018 ) . Trec and krec levels as a predictors of flow cytometry results . ALLERGY . vol. 73 , 45 - 45 .
Korsunskiy I, Blyuss O, Gordukova M, Davydova N, Zaikin A, Zinovieva N, Zimin S, Salpagarova A et al. ( 2018 ) . Trec and krec utility in primary immunodeficiency diseases diagnosis . ALLERGY . vol. 73 , 304 - 305 .
Vazquez MA, Marino IP, BLYUSS O, Ryan A, GENTRY-MAHARAJ A, Kalsi J, MANCHANDA R, Jacobs I et al. ( 2018 ) . A quantitative performance study of two automatic methods for the diagnosis of ovarian cancer . Biomedical Signal Processing and Control
BLYUSS O, Burnell M, Ryan A, GENTRY-MAHARAJ A, Marino I, Kalsi J, MANCHANDA R, Timms JF et al. ( 2018 ) . Comparison of longitudinal CA125 algorithms as a first line screen for ovarian cancer in the general population . Clinical Cancer Research
Blyuss OB, Cherepanova VK, Timms JF, Burnell M, Ryan A, Gentry-Maharaj A, Menon U, Zaikin AA ( 2018 ) . Comparison of longitudinal algorithms for the early detection of ovarian cancer . Opera Medica et Physiologica vol. 4 ,
Mariño IP, Vázquez MA, Blyuss O, Ryan A, Gentry-Maharaj A, Kalsi J, Manchanda R, Jacobs I et al. ( 2018 ) . Diagnosis of ovarian cancer based on longitudinal measurements of multiple biomarkers . Opera Medica et Physiologica vol. 4 , 71 - 72 .
Whitwell HJ, Blyuss O, Menon U, DiMaggio P, Timms JF, Zaikin A ( 2018 ) . Ovarian cancer applied to ovarian cancer prediction . Opera Medica et Physiologica vol. 4 , 82 - 83 .
Whitwell HJ, Blyuss O, Menon U, Timms JF, Zaikin A ( 2018 ) . Parenclitic networks for predicting ovarian cancer . Oncotarget vol. 9 , ( 32 ) 22717 - 22726 .
Cuenco J, Wehnert N, Blyuss O, Kazarian A, Whitwell HJ, Menon U, Dawnay A, Manns MP et al. ( 2018 ) . Identification of a serum biomarker panel for the differential diagnosis of cholangiocarcinoma and primary sclerosing cholangitis . Oncotarget vol. 9 , ( 25 ) 17430 - 17442 .
Stott W, Campbell S, Franchini A, Blyuss O, Zaikin A, Ryan A, Jones C, Gentry-Maharaj A et al. ( 2018 ) . Sonographers' self-reported visualization of normal postmenopausal ovaries on transvaginal ultrasound is not reliable: results of expert review of archived images from UKCTOCS . Ultrasound in Obstetrics and Gynecology vol. 51 , ( 3 ) 401 - 408 .
Mariño IP, Blyuss O, Ryan A, Gentry-Maharaj A, Timms JF, Dawnay A, Kalsi J, Jacobs I et al. ( 2018 ) . How detecting change-points in biomarkers time series can support the diagnostic approaches of ovarian cancer . Meta Gene
Manchanda R, Gaba F, Bottla K, Mousa K, Burnell M, Kalsi J, Gentry-Maharaj A, Antoniou A et al. ( 2017 ) . PREDICTING RISK OF OVARIAN MALIGNANCY IMPROVED SCREENING AND EARLY DETECTION FEASIBILITY STUDY (PROMISE-FS) . INTERNATIONAL JOURNAL OF GYNECOLOGICAL CANCER . vol. 27 , 1944 - 1944 .
Irungu S, Mavrelos D, Worthington J, Blyuss O, Saridogan E, Timms J ( 2017 ) . Searching for endometriosis biomarkers with proteomics . HUMAN REPRODUCTION . vol. 32 , 266 - 266 .
Mariño IP, Blyuss O, Ryan A, Gentry-Maharaj A, Timms JF, Dawnay A, Kalsi J, Jacobs I et al. ( 2017 ) . Change-point of multiple biomarkers in women with ovarian cancer . Biomedical Signal Processing and Control vol. 33 , 169 - 177 .
Kazarian A, Blyuss O, Metodieva G, Gentry-Maharaj A, Ryan A, Kiseleva EM, Prytomanova OM, Jacobs IJ et al. ( 2017 ) . Testing breast cancer serum biomarkers for early detection and prognosis in pre-diagnosis samples . Br J Cancer vol. 116 , ( 4 ) 501 - 508 .
Fourkala EO, Blyuss O, Field H, Gunu R, Ryan A, Barth J, Jacobs I, Zaikin A et al. ( 2016 ) . Sex hormone measurements using mass spectrometry and sensitive extraction radioimmunoassay and risk of estrogen receptor negative and positive breast cancer: Case control study in UK Collaborative Cancer Trial of Ovarian Cancer Screening (UKCTOCS) . Steroids vol. 110 , 62 - 69 .
Fourkala EO, Blyuss O, Field H, Gunu R, Ryan A, Barth J, Jacobs I, Zaikin A et al. ( 2016 ) . Erratum: Corrigendum to “Sex hormone measurements using mass spectrometry and sensitive extraction radioimmunoassay and risk of estrogen receptor negative and positive breast cancer: Case control study in UK Collaborative Cancer Trial of Ovarian Cancer Screening (UKCTOCS)” (Steroids (2016) 110 (62–69)) . Steroids vol. 113 ,
Bates R, Blyuss O, Alsaedi A, Zaikin A ( 2015 ) . Effect of noise in intelligent cellular decision making . PLoS ONE vol. 10 , ( 5 )
Molchanov RN, Blyuss OB ( 2015 ) . Prediction of bladder tumor relapse based on the risk factors and characteristics of the treatment . Medičnì Perspektivi vol. 20 , ( 1 ) 49 - 55 .
James CP, Stevens J, Blyuss O, Syngelaki A, Nicolaides K, Zaikin A, Peebles DM ( 2015 ) . GWAS Identified Inflammatory Polymorphisms Do Not Improve Clinical Markers for Predicting Preterm Birth in an Antenatal Population . REPRODUCTIVE SCIENCES . vol. 22 , 135A - 135A .
O'Brien DP, Sandanayake NS, Jenkinson C, Gentry-Maharaj A, Apostolidou S, Fourkala EO, Camuzeaux S, Blyuss O et al. ( 2015 ) . Serum CA19-9 is significantly upregulated up to 2 years before diagnosis with pancreatic cancer: Implications for early disease detection . Clinical Cancer Research vol. 21 , ( 3 ) 622 - 631 .
Blyuss O, Koriashkina L, Kiseleva E, Molchanov R ( 2015 ) . Optimal Placement of Irradiation Sources in the Planning of Radiotherapy: Mathematical Models and Methods of Solving . Computational and Mathematical Methods in Medicine vol. 2015 ,
Blyuss O, Gentry-Maharaj A, Fourkala EO, Ryan A, Zaikin A, Menon U, Jacobs I, Timms JF ( 2015 ) . Serial Patterns of Ovarian Cancer Biomarkers in a Prediagnosis Longitudinal Dataset . BioMed Research International vol. 2015 ,
Bates R, Blyuss O, Alsaedi A, Zaikin A ( 2014 ) . Effect of noise in intelligent cellular decision making .
Bates R, Blyuss O, Zaikin A ( 2014 ) . Stochastic resonance in an intracellular genetic perceptron . Physical Review E - Statistical, Nonlinear, and Soft Matter Physics vol. 89 , ( 3 )
Sandanayake NS, Camuzeaux S, Sinclair J, Blyuss O, Andreola F, Chapman MH, Webster GJ, Smith RC et al. ( 2014 ) . Identification of potential serum peptide biomarkers of biliary tract cancer using MALDI MS profiling . BMC Clinical Pathology vol. 14 , ( 1 )
Alshaker H, Krell J, Frampton AE, Waxman J, Blyuss O, Zaikin A, Winkler M, Stebbing J et al. ( 2014 ) . Leptin induces upregulation of sphingosine kinase 1 in oestrogen receptor-negative breast cancer via Src family kinase-mediated, janus kinase 2-independent pathway . Breast cancer research : BCR vol. 16 , ( 5 )
Bulat AF, Kiseleva EM, Pichugov SA, Blyuss OB ( 2010 ) . Modification of fuzzy c-means method using a nonlinear vector criterion . Journal of Automation and Information Sciences vol. 42 , ( 12 ) 13 - 21 .