Publications: DR Oleg Blyuss

Hughes CS, Blyuss O, Kocher HM ( 2026 ) . Plasma vascular endothelial growth factor levels are a potential therapy-response biomarker for pancreatic cancer . Frontiers in Oncology vol. 15 ,

( 2026 ) . PP01.01/OA02.01: Plasma Proteomics for Risk Prediction of Lung Cancer . Journal of Thoracic Oncology vol. 21 , ( 1 )

Calhas S, Liu Y, Waters S, Blyuss O, Marshall CR, Proitsi P ( 2025 ) . Leveraging multi‐modal data for individualised risk prediction for dementia . Alzheimer's & Dementia vol. 21 , ( Suppl 2 )

Sushentsev N, Warren AY, Colling R, Verrill C, Pazukhina E, Blyuss O, Seibert TM, Barrett T et al. ( 2025 ) . Active Monitoring, Surgery, and Radiotherapy for Cribriform-Positive and Cribriform-Negative Prostate Cancer . JAMA Oncology vol. 11 , ( 12 ) 1512 - 1517 .

Zaikin A, Sviridov I, Oganezova JG, Menon U, Gentry-Maharaj A, Timms JF, Blyuss O ( 2025 ) . Synolitic Graph Neural Networks of High-Dimensional Proteomic Data Enhance Early Detection of Ovarian Cancer . Cancers vol. 17 , ( 24 )

Howard FM, Fasching PA, Santa-Maria CA, Lim E, Sparano JA, Lustberg MB, Bachelot T, Blyuss O et al. ( 2025 ) . Machine Learning–Based Prediction of Distant Recurrence Risk and Ribociclib Treatment Effect in HR+/HER2− Early Breast Cancer Using Real-World and NATALEE Data . Clinical Cancer Research vol. 32 , ( 2 ) 428 - 437 .

Vershinina O, Sushentsev N, Zaikin A, Blyuss O, Barrett T, Ivanchenko M ( 2025 ) . Improving the Potential for Predicting Prostate Cancer Progression in Patients on Active Surveillance Using Explainable Artificial Intelligence . Cancers vol. 17 , ( 22 )

Howard F, Fasching PA, Santa-Maria CA, Sparano J, Lustberg M, Bachelot T, Blyuss O, Brezden-Masley C et al. ( 2025 ) . 405P Optimizing prognostic models for early breast cancer (EBC) recurrence using real-world data (RWD) and machine learning (ML) . ESMO Real World Data and Digital Oncology vol. 10 ,

Sideris M, Brincat MR, Blyuss O, Oxley SG, Sia J, Kalra A, Wei X, Fierheller CT et al. ( 2025 ) . P-POSSUM Falls Short: Predicting Morbidity in Ovarian Cancer (OC) Cytoreductive Surgery . Cancers vol. 17 , ( 21 )

Ashmawy RE, Blyuss O, Nikolova D, Pavlov CS, Gluud C, Andrenacci PJ ( 2025 ) . Bile acids for metabolic dysfunction‐associated steatotic liver disease in adults . Cochrane Database of Systematic Reviews vol. 2025 , ( 9 )

Howard FM, Fasching PA, Santa-Maria CA, Lim E, Sparano J, Lustberg M, Bachelot T, Blyuss O et al. ( 2025 ) . 372P A NATALEE data–based machine learning (ML) model to predict distant recurrence (DR) and treatment (tx) effect in real-world (RW) patients (pts) with HR+/HER2– early breast cancer (EBC) without CDK4/6 inhibitor (CDK4/6i) tx . Annals of Oncology vol. 36 ,

Dreytser E, Blyuss O, Mudrova A, Turankova T, Gurusamy KS, Pavlov CS ( 2025 ) . Aspartate aminotransferase‐to‐platelet ratio index (APRI) for staging of fibrosis in adults with chronic hepatitis C . Cochrane Database of Systematic Reviews vol. 2025 , ( 8 )

Sushentsev N, Li IG, Xu G, Warren AY, Hsu CY, Baxter M, Panchal D, Kastner C et al. ( 2025 ) . Predicting Active Surveillance Failure for Patients with Prostate Cancer in the Magnetic Resonance Imaging Era: A Multicentre Transatlantic Cohort Study . European Urology Oncology

Arun S, Grosheva M, Kosenko M, Robertus JL, Blyuss O, Gabe R, Munblit D, Offman J ( 2025 ) . Systematic scoping review of external validation studies of AI pathology models for lung cancer diagnosis . npj Precision Oncology vol. 9 , ( 1 )

Saunders TS, Virpal P, Andreou M, Parmar A, Derksen C, Blyuss O, Walter FM, Funston G ( 2025 ) . Diagnostic Risk Prediction Models for Upper Gastrointestinal Cancers: A Systematic Review . Cancer Epidemiology Biomarkers & Prevention vol. 34 , ( 8 ) 1240 - 1251 .

Anza-Ramirez C, Miranda JJ, Armocida B, Correia JC, Van Spall HGC, Beran D, Aali A, Abate KH et al. ( 2025 ) . Characterising acute and chronic care needs: insights from the Global Burden of Disease Study 2019 . Nature Communications vol. 16 , ( 1 )

Kalra A, Ganesan S, Sia JJY, Papalois K-B, Pandya A, Xiong R, Wei X, Oxley SG et al. ( 2025 ) . Uptake and patient-related outcomes of mainstreaming genetic testing: a systematic review and meta-analysis . American Journal of Obstetrics and Gynecology vol. 233 , ( 4 ) 276 - 291 .

Sushentsev N, Comune R, Sinci KA, Blyuss O, Caglič I, Kastner C ( 2025 ) . A 10‐year analysis of MRI‐driven prostate cancer diagnosis and active surveillance: trends and implications . BJU International vol. 136 , ( 2 ) 224 - 226 .

Mohammadi SM, Rumyantsev M, Abdeeva E, Baimukhambetova D, Bobkova P, El-Taravi Y, Pikuza M, Trefilova A et al. ( 2025 ) . Post-COVID-19 Condition Prediction in Hospitalised Cancer Patients: A Machine Learning-Based Approach . Cancers vol. 17 , ( 4 )

Sparano JA, Lustberg MB, de Nonneville A, Bachelot T, Santa-Maria CA, Blyuss O, Fasching PA, Brezden-Masley C et al. ( 2025 ) . P258: Factors associated with distant recurrence (DR) risk in patients (pts) with HR+/HER2− early breast cancer (EBC): a machine learning (ML) model–based analysis using real-world (RW) data . The Breast vol. 80 ,

Kalra A, Ganesan S, Sia J, Papalois K-B, Pandya A, Xiong R, Wei X, Oxley S et al. ( 2025 ) . Uptake And Patient-Related Outcomes Of Mainstreaming Genetic Testing – A Systematic Review And Meta-Analysis . International Journal of Gynecological Cancer . vol. 35 ,

Gaba F, Blyuss O, Ash K, Collaborators GS, Taskiran C, Vatansever D, Giray B, Multinu F et al. ( 2025 ) . Survival after interval and delayed cytoreduction surgery in advanced ovarian cancer: a Global Gynaecological Oncology Surgical Outcomes Collaborative–Led Study (GO SOAR2) . International Journal of Gynecological Cancer vol. 35 , ( 4 )

Gaba F, Ash K, Blyuss O, Chandrasekaran D, Brockbank E ( 2025 ) . Robotic Surgery from a Gynaecological Oncology Perspective: A Global Gynaecological Oncology Surgical Outcomes Collaborative Led Study (GO SOAR3) . Diseases vol. 13 , ( 1 )

Krivonosov M, Nazarenko T, Ushakov V, Vlasenko D, Chen S, Zaikin A ( 2024 ) . Analysis of Multidimensional Clinical and Physiological Data with Synolitical Graph Neural Networks . Technologies vol. 13 , ( 1 )

Krivonosov MI, Pazukhina E, Zaikin A, Viozzi F, Lazzareschi I, Manca L, Caci A, Santangelo R et al. ( 2024 ) . Evaluating the Effect of Climate on Viral Respiratory Diseases Among Children Using AI . Journal of Clinical Medicine vol. 13 , ( 23 )

Tajbakhsh J, Debernardi S, Blyuss O, Bai J, Weng R, Lo S, Pandol SJ ( 2024 ) . A Clinical Laboratory Improvement Amendments/College of American Pathologists–Compliant Noninvasive Laboratory-Developed Test for Early Detection of Pancreatic Ductal Adenocarcinoma . Journal of Molecular Diagnostics vol. 27 , ( 1 ) 54 - 61 .

Ali N, Debernardi S, Kurotova E, Tajbakhsh J, Gupta NK, Pandol SJ, Wilson P, Pereira SP ( 2024 ) . Evaluation of urinary C-reactive protein as an early detection biomarker for pancreatic ductal adenocarcinoma . Frontiers in Oncology vol. 14 ,

Li Z, Andreev A, Hramov A, Blyuss O ( 2024 ) . Novel efficient reservoir computing methodologies for regular and irregular time series classification . Nonlinear Dynamics vol. 113 , ( 5 ) 4045 - 4062 .

Ney A, Nené NR, Sedlak E, Acedo P, Blyuss O, Costello E, Williams NR, Menon U ( 2024 ) . Identification of a serum proteomic biomarker panel using diagnosis specific ensemble learning and symptoms for early pancreatic cancer detection . PLOS Computational Biology vol. 20 , ( 8 )

Gaba F, Mohammadi SM, Blyuss O ( 2024 ) . Predicting Risk of Post-Operative Morbidity and Mortality following Gynaecological Oncology Surgery (PROMEGO): A Global Gynaecological Oncology Surgical Outcomes Collaborative Led Study . Cancers vol. 16 , ( 11 )

Bulat AF, Eliseev VI, Sovit YP, Molchanov RN ( 2024 ) . 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 .

Abrego L, Zaikin A, Marino IP, Krivonosov MI, Jacobs I, Gentry‐Maharaj A ( 2024 ) . Bayesian and deep‐learning models applied to the early detection of ovarian cancer using multiple longitudinal biomarkers . Cancer Medicine vol. 13 , ( 7 )

Schilling K, Chen H, Debernardi S, Blyuss O ( 2024 ) . Analysis of urinary potassium isotopes and association with pancreatic health: healthy, diabetic and cancerous states . Frontiers in Endocrinology vol. 15 ,

Oxley SG, Wei X, Sideris M, Blyuss O, Kalra A, Sia JJY, Ganesan S, Fierheller CT et al. ( 2024 ) . Utility Scores for Risk-Reducing Mastectomy and Risk-Reducing Salpingo-Oophorectomy: Mapping to EQ-5D . Cancers vol. 16 , ( 7 )

Glazyrina A, Zholobova E, Iakovleva E, Bobkova P, Krasnaya E, Kovygina K, Romanova O, Blyuss O et al. ( 2024 ) . Short-term and medium-term clinical outcomes of multisystem inflammatory syndrome in children: a prospective observational cohort study . Italian Journal of Pediatrics vol. 50 , ( 1 )

Semenenko Y, Simes V, Khamіnіch О ( 2024 ) . Evaluation of efficiency and monitoring of the hydraulic transport complex operation modes using a mathematical model of the pulp formation unit . Geo-Technical mechanics ( 170 ) 28 - 40 .

Molchanov RM, Honcharuk OO, Khareba GG, Duka RV ( 2023 ) . Segmental ischemia and indocyanine green navigation: impact on perioperative parameters in laparoscopic vs. open partial nephrectomy . Medičnì Perspektivi vol. 28 , ( 4 ) 80 - 87 .

Gaba F, Blyuss O, Chandrasekaran D, Bizzarri N, Refky B, Barton D, Ind T, Nobbenhuis M et al. ( 2023 ) . Prognosis Following Surgery for Recurrent Ovarian Cancer and Diagnostic Criteria Predictive of Cytoreduction Success: A Systematic Review and Meta-Analysis . Diagnostics vol. 13 , ( 22 )

Gaba F, Ash K, Blyuss O, Bizzarri N, Saiz A, Cibula D ( 2023 ) . International Variations in Surgical Morbidity and Mortality Post Gynaecological Oncology Surgery: A Global Gynaecological Oncology Surgical Outcomes Collaborative Led Study (GO SOAR1) . Cancers vol. 15 , ( 20 )

Gaba F, Ash K, Blyuss O, Bizzarri N, Kamfwa P, Saiz A, Paranjothy S ( 2023 ) . #145 International variations in post-operative morbidity and mortality following gynaecological oncology surgery (GO SOAR1) . International Journal of Gynecological Cancer . Conference: Poster/ePoster Sessions vol. 33 , a410 - a411 .

Sobocan M, Chandrasekaran D, Sideris M, Blyuss O, Fierheller C, Kalra A, Sia J, Miller RE et al. ( 2023 ) . Patient decision aids in mainstreaming genetic testing for women with ovarian cancer: A prospective cohort study . BJOG An International Journal of Obstetrics & Gynaecology vol. 131 , ( 6 ) 848 - 857 .

Molchanov RM, Blyuss ОB ( 2023 ) . Advantages of selective ischemia and indocyanine green fluorescence navigation in laparoscopic partial nephrectomy: preliminary results . Urologiya vol. 26 , ( 2 ) 102 - 110 .

Spiridonova E, Bobkova P, Tyrykina M, Kartashova V, Nikitin Y, Gushchin M, Skibo I, Vasiliev A et al. ( 2023 ) . Potential utility of calculated globulin as a screening tool for antibody deficiency in children . Immunology Letters vol. 258 , 51 - 53 .

Blyuss KB, Kyrychko YN, Blyuss OB ( 2023 ) . Complex dynamics near extinction in a predator-prey model with ratio dependence and Holling type III functional response .

Sushentsev N, Abrego L, Colarieti A, Sanmugalingam N, Stanzione A, Zawaideh JP ( 2023 ) . 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 . European Urology Open Science vol. 52 , 36 - 39 .

Gaba F, Blyuss O, Tan A, Munblit D, Oxley S, Khan K, Legood R, Manchanda R ( 2023 ) . Breast Cancer Risk and Breast-Cancer-Specific Mortality following Risk-Reducing Salpingo-Oophorectomy in BRCA Carriers: A Systematic Review and Meta-Analysis . Cancers vol. 15 , ( 5 )

Channon-Wells S, Vito O, McArdle AJ, Seaby EG, Patel H, Shah P, Pazukhina E, Wilson C et al. ( 2023 ) . Immunoglobulin, glucocorticoid, or combination therapy for multisystem inflammatory syndrome in children: a propensity-weighted cohort study . The Lancet Rheumatology vol. 5 , ( 4 ) e184 - e199 .

Sushentsev N, Rundo L, Abrego L, Li Z, Nazarenko T, Sala E, Zaikin A ( 2023 ) . Time series radiomics for the prediction of prostate cancer progression in patients on active surveillance . European Radiology vol. 33 , ( 6 ) 3792 - 3800 .

Nené NR, Ney A, Nazarenko T, Blyuss O, Johnston HE, Whitwell HJ, Sedlak E, Gentry-Maharaj A et al. ( 2023 ) . Serum biomarker-based early detection of pancreatic ductal adenocarcinomas with ensemble learning . Communications Medicine vol. 3 , ( 1 )

Blyuss KB, Kyrychko YN ( 2022 ) . Complex dynamics near extinction in a predator-prey model with ratio dependence and Holling type III functional response . Frontiers in Applied Mathematics and Statistics vol. 8 ,

Gaba F, Ash K, Blyuss O, Bizzarri N, Kamfwa P, Ramirez PT, Kotsopoulos IC, Chandrasekaran D et al. ( 2022 ) . Patient outcomes following interval and delayed cytoreductive surgery in advanced ovarian cancer: protocol for a multicenter, international, cohort study (Global Gynaecological Oncology Surgical Outcomes Collaborative) . International Journal of Gynecological Cancer vol. 32 , ( 12 ) 1606 - 1610 .

Collaborators GBODLC, 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: The Journal of the American Medical Association vol. 328 , ( 16 ) 1604 - 1615 .

Gaba F, Blyuss O, Tan A, Chandrasekaran D, Munblit D, Legood R, Khan K, Manchanda R ( 2022 ) . 2022-RA-1390-ESGO Meta-analysis of breast cancer risk and breast cancer specific mortality following risk reducing salpingo-oophorectomy in BRCA carriers . Conference: Prevention of gynaecologic cancera385.1 - a3a385 .

Debernardi S, Blyuss O, Rycyk D, Srivastava K, Jeon CY, Cai H, Shu X ( 2022 ) . Urine biomarkers enable pancreatic cancer detection up to 2 years before diagnosis . International Journal of Cancer vol. 152 , ( 4 ) 769 - 780 .

Pantelidou M, Caglic I, George A, Blyuss O, Gnanapragasam VJ ( 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 )

Collaborators GCRF, Tran KB, Lang JJ, Compton K, Xu R, Acheson AR, Henrikson HJ, Kocarnik JM et al. ( 2022 ) . The global burden of cancer attributable to risk factors, 2010–19: a systematic analysis for the Global Burden of Disease Study 2019 . The Lancet vol. 400 , ( 10352 ) 563 - 591 .

Blyuss O, Dibden A, Massat NJ, Cuzick J ( 2022 ) . A case–control study to evaluate the impact of the breast screening programme on breast cancer incidence in England . Cancer Medicine vol. 12 , ( 2 ) 1878 - 1887 .

Kiseleva E, Prytomanova O, Blyuss O ( 2022 ) . Application of the Theory of Optimal Set Partitioning for Constructing Fuzzy Voronoi Diagrams . System Analysis & Intelligent Computing , vol. 1022 , Springer Nature

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 & Adolescent Health vol. 6 , ( 6 ) 367 - 383 .

Collaboration GBODC, Kocarnik JM, Compton K, Dean FE, Fu W, Gaw BL, Harvey JD, Henrikson HJ 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 . JAMA Oncology vol. 8 , ( 3 ) 420 - 444 .

Demichev V, Tober-Lau P, Nazarenko T, Lemke O, Aulakh SK, 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 )

Bulanov NM, Suvorov AY, Blyuss OB, Munblit DB, Nadinskaia MY ( 2021 ) . Basic principles of descriptive statistics in medical research . Sechenov Medical Journal vol. 12 , ( 3 ) 4 - 16 .

Nazarenko T, 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 ,

Gaba F, Bizzarri N, Kamfwa P, Paranjothy S, Ramirez P ( 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 et al. ( 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 .

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 & Experimental Allergy vol. 51 , ( 9 ) 1107 - 1120 .

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, Rodriguez I, Dilley J, Wan Y-LL, Saiz A, Razumova Z, Zalewski K et al. ( 2021 ) . Impact of SARS-CoV-2 on training and mental well-being of surgical gynecological oncology trainees . International Journal of Gynecological Cancer vol. 31 , ( 9 ) 1268 - 1277 .

Sushentsev N, Rundo L, Nazarenko T, Suvorov A, Sala E ( 2021 ) . 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 .

Osmanov IM, Spiridonova E, Bobkova P, Gamirova A, Shikhaleva A, Andreeva M, Blyuss O, El-Taravi Y et al. ( 2021 ) . Risk factors for post-COVID-19 condition in previously hospitalised children using the ISARIC Global follow-up protocol: a prospective cohort study . European Respiratory Journal vol. 59 , ( 2 )

Sushentsev N, Rundo L, 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 )

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 .

Nazarenko T, Blyuss O, Whitwell H ( 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 .

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 vol. 28 , ( 4 ) 426 - 432 .

Bulanov NM, Blyuss OB, Munblit DB, Nekliudov NA, Butnaru DV ( 2021 ) . Studies and research design in medicine . Sechenov Medical Journal vol. 12 , ( 1 ) 4 - 17 .

Bulanov NМ, Blyuss OB, Nazarenko TV, Nadinskaia MY ( 2021 ) . Venn diagrams and probability in clinical research . Sechenov Medical Journal vol. 11 , ( 4 ) 5 - 14 .

Greenhawt M, Kimball S, DunnGalvin A, Abrams EM, Shaker MS, Mosnaim G, Comberiati P, Nekliudov NA ( 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 .

Di Blasi R, Blyuss O, Timms JF, Whitwell HJ ( 2021 ) . Non-Histone Protein Methylation: Biological Significance and Bioengineering Potential . ACS Chemical Biology vol. 16 , ( 2 ) 238 - 250 .

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 vol. 28 , ( 3 ) 277 - 285 .

Debernardi S, O’Brien H, Algahmdi AS, Malats N, Stewart GD, Plješa-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 . International Journal of Gynecological Cancer . Conference: Prevention of gynaecologic cancer vol. 30 ,

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, Wilson P, Duffy S ( 2020 ) . EARLY DETECTION OF PANCREATIC ADENOCARCINOMA IN ‘AT-RISK’ POPULATIONS USING A BIOMARKER PANEL IN URINE (UROPANC) . Pancreatology . vol. 20 ,

Munblit D, Nekliudov NA, Bugaeva P, Blyuss O, Timashev P, Warner JO, Comberiati P, Apfelbacher C et al. ( 2020 ) . Reply to Russo et al . Clinical Infectious Diseases vol. 72 , ( 12 ) e1159 - e1160 .

Debernardi S, Jach D, Brezgyte G ( 2020 ) . A combination of urinary biomarker panel and PancRISK score for earlier detection of pancreatic cancer . Pancreatology . vol. 20 ,

Munblit D, Nekliudov NA, Bugaeva P, Blyuss O, Kislova M, Listovskaya E, Gamirova A, Shikhaleva A et al. ( 2020 ) . 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 .

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 .

Nekliudov NA, Blyuss O, Cheung KY, Petrou L, Genuneit J, Comberiati P, Warner JO, Tudor-Williams G 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 )

Gaba F, Blyuss O, Chandrasekaran D, Osman M, Goyal S, Gan C, Izatt L, Tripathi V et al. ( 2020 ) . Attitudes towards risk‐reducing early salpingectomy with delayed oophorectomy for ovarian cancer prevention: a cohort study . BJOG An International Journal of Obstetrics & Gynaecology vol. 128 , ( 4 ) 714 - 726 .

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 .

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 ) 1468 - 1468 .

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 )

Turankova T, Blyuss O, Brazhnikov A, Svistunov A ( 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 )

Whitwell HJ, Bacalini MG, Blyuss O, Chen S, Garagnani P, Gordleeva SY, Kanakov O, Kustikova V 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 EG, Duffy SW, Simpson JA, Wallis MG, Turnbull AE, Wilkinson LS, Rahim R, Dodwell D et al. ( 2020 ) . Radiological audit of interval breast cancers: Estimation of tumour growth rates . The Breast vol. 51 , 114 - 119 .

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 vol. 12 , ( 5 ) 752 - 757 .

Korsunskiy I, Blyuss O, Gordukova M, Davydova N, Zinovieva N, Zimin S, Molchanov R, Eremeeva A et al. ( 2020 ) . Expanding TREC and KREC Utility in Primary Immunodeficiency Diseases Diagnosis . Frontiers in Immunology vol. 11 ,

Whitwell HJ, Worthington J, Blyuss O, Gentry-Maharaj A, Gunu R, Menon U, Jacobs I ( 2020 ) . Improved early detection of ovarian cancer using longitudinal multimarker models . British Journal of Cancer vol. 122 , ( 6 ) 847 - 856 .

MacInnes EGE, Duffy SW, Simpson JA, Wallis MG, Turnbull AE, Wilkinson LS, Satchithananda K, Dodwell D ( 2020 ) . Tumour volume doubling times: clinicopathological factors that correlate with increased growth rates . BREAST CANCER RESEARCH AND TREATMENT . vol. 180 , 555 - 555 .

Blyuss O, Zaikin A, Cherepanova V, Munblit D, Kiseleva EM, Prytomanova OM, Duffy SW ( 2019 ) . 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 .

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 )

Rebolj M, Parmar D, Maroni R, Duffy SW ( 2019 ) . Concurrent participation in screening for cervical, breast, and bowel cancer in England . Journal of Medical Screening vol. 27 , ( 1 ) 9 - 17 .

Rebolj M, Blyuss O, Chia KS ( 2019 ) . Long-term excess risk of breast cancer after a single breast density measurement . European Journal of Cancer vol. 117 , 41 - 47 .

Khaleva E, Gridneva Z, Geddes DT, Oddy WH, Colicino S, Blyuss O, Warner JO ( 2019 ) . Transforming growth factor beta in human milk and allergic outcomes in children: A systematic review . Clinical & Experimental Allergy vol. 49 , ( 9 ) 1201 - 1213 .

Blyuss O, Duffy S ( 2019 ) . Development of a biomarker panel risk score, PancRISK, for early detection of pancreatic cancer .

Irungu S, Mavrelos D, Worthington J, Saridogan E, Timms JF ( 2019 ) . Discovery of non-invasive biomarkers for the diagnosis of endometriosis . Clinical Proteomics vol. 16 , ( 1 )

Peshko D, Kulbachinskaya E, Korsunskiy I, Kondrikova E, Quinti I, Blyuss O ( 2019 ) . Health-Related Quality of Life in Children and Adults with Primary Immunodeficiencies: A Systematic Review and Meta-Analysis . The Journal of Allergy and Clinical Immunology In Practice vol. 7 , ( 6 ) 1929 - 1957.e5 .

Korsunskiy I, Blyuss O, Gordukova M, Davydova N, Gordleeva S, Asmanov A, Peshko D, Zinovieva N et al. ( 2019 ) . TREC and KREC Levels as a Predictors of Lymphocyte Subpopulations Measured by Flow Cytometry . Frontiers in Physiology vol. 9 ,

Saso A, Blyuss O, Munblit D, Faal A ( 2019 ) . Breast Milk Cytokines and Early Growth in Gambian Infants . Frontiers in Pediatrics vol. 6 ,

Blyuss O, Burnell M, Ryan A, Gentry-Maharaj A, Mariño IP, 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 vol. 24 , ( 19 ) 4726 - 4733 .

Vázquez MA, Mariño 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 vol. 46 , 86 - 93 .

Mariño IP, Blyuss O, Ryan A, Gentry-Maharaj A, Timms JF, Dawnay A, Zaikin A ( 2018 ) . How detecting change-points in biomarkers time series can support the diagnostic approaches of ovarian cancer . Human Gene vol. 17 ,

Blyuss OB, Cherepanova VK, Burnell M, Ryan A, Gentry-Maharaj A, Menon U ( 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 ( 2018 ) . Ovarian cancer applied to ovarian cancer prediction . Opera Medica Et Physiologica vol. 4 , 82 - 83 .

Whitwell HJ, Menon U, Zaikin A ( 2018 ) . Parenclitic networks for predicting ovarian cancer . Oncotarget vol. 9 , ( 32 ) 22717 - 22726 .

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 )

Cuenco J, Wehnert N, Blyuss O, Kazarian A, Whitwell HJ, Menon U, Manns MP ( 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 .

Korsunskiy I, Blyuss O, Gordukova M, Davydova N, Zaikin A, Zimin S, Salpagarova A, Filipenko M 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 .

Mariño IP, Blyuss O, Ryan A, Gentry-Maharaj A, Timms JF, Dawnay A ( 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 . British Journal of Cancer vol. 116 , ( 4 ) 501 - 508 .

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 ( 2017 ) . Searching for endometriosis biomarkers with proteomics . HUMAN REPRODUCTION . vol. 32 , 266 - 266 .

Fourkala E-O, Blyuss O, Field H, Gunu R, Ryan A, Barth J, Zaikin A ( 2016 ) . 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 110 (2016) 62–69] . Steroids vol. 113 ,

Fourkala E-O, Blyuss O, Field H, Gunu R, Ryan A, Barth J ( 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 .

Blyuss O, Gentry-Maharaj A, Fourkala E-O, Ryan A, Zaikin A, Timms JF ( 2015 ) . Serial Patterns of Ovarian Cancer Biomarkers in a Prediagnosis Longitudinal Dataset . BioMed Research International vol. 2015 , ( 1 )

Blyuss O, Koriashkina L, 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 , ( 1 )

Bates R, Blyuss O, Alsaedi A ( 2015 ) . Effect of Noise in Intelligent Cellular Decision Making . PLOS ONE vol. 10 , ( 5 )

Molchanov RN ( 2015 ) . Prediction of bladder tumor relapse based on the risk factors and characteristics of the treatment . Medičnì Perspektivi vol. 20 , ( 1 ) 49 - 55 .

O'Brien DP, Sandanayake NS, Jenkinson C, Gentry-Maharaj A, Apostolidou S, Camuzeaux S, Dawnay A, Zaikin A 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 .

James CP, Stevens J, Blyuss O, Syngelaki A, Nicolaides K ( 2015 ) . GWAS Identified Inflammatory Polymorphisms Do Not Improve Clinical Markers for Predicting Preterm Birth in an Antenatal Population . REPRODUCTIVE SCIENCES . vol. 22 , 135A - 135A .

Alshaker H, Krell J, Frampton AE, Waxman J, Blyuss O, Zaikin A ( 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 vol. 16 , ( 5 )

Bates R, Blyuss O, Alsaedi A, Zaikin A ( 2014 ) . Effect of noise in intelligent cellular decision making .

Bates R, Blyuss O ( 2014 ) . Stochastic resonance in an intracellular genetic perceptron . Physical Review E vol. 89 , ( 3 )

Sandanayake NS, Camuzeaux S, Sinclair J, Blyuss O, Andreola F, Chapman MH, Webster GJ, Smith RC ( 2014 ) . Identification of potential serum peptide biomarkers of biliary tract cancer using MALDI MS profiling . BMC Clinical Pathology vol. 14 , ( 1 )

Bulat AF, Kiseleva EM, Pichugov SA ( 2010 ) . Modification of Fuzzy c-Means Method Using a Nonlinear Vector Criterion . Journal of Automation and Information Sciences vol. 42 , ( 12 ) 13 - 21 .

Hanson SW, Abbafati C, Aerts JG, Al-Aly Z, Ashbaugh C, Ballouz T, Blyuss O, Bobkova P et al. . A global systematic analysis of the occurrence, severity, and recovery pattern of long COVID in 2020 and 2021 .

Demichev V, Tober-Lau P, Nazarenko T, Aulakh SK, Whitwell H, Lemke O, Röhl A, Freiwald A et al. . A proteomic survival predictor for COVID-19 patients in intensive care .

Demichev V, Tober-Lau P, Nazarenko T, Thibeault C, Whitwell H, Lemke O, Röhl A, Freiwald A et al. . A time-resolved proteomic and diagnostic map characterizes COVID-19 disease progression and predicts outcome .

Li Z, Pazukhina E, Apostolidou S, Zalesskaia S, Gunu R, Pandya T, Zaikin A, Whitwell HJ et al. . Computational screening for lung cancer with protein biomarkers: biomarker selection, longitudinal strategy and evaluation .

Nené NR, Ney A, Nazarenko T, Blyuss O, Johnston HE, Whitwell HJ, Sedlak E, Gentry-Maharaj A et al. . Early detection of pancreatic ductal adenocarcinomas with an ensemble learning model based on a panel of protein serum biomarkers .

Pantelidou M, Caglic I, George A, Blyuss O, Gnanapragasam V, Barrett T . Evaluation of Transabdominal and Transperineal Ultrasound-Derived Prostate Specific Antigen (PSA) Density and Clinical Utility Compared to MRI Prostate Volumes: A Feasibility Study .

Nekliudov NA, Blyuss O, Cheung KY, Petrou L, Genuneit J, Sushentsev N, Levadnaya A, Comberiati P et al. . Excessive Media Consumption About COVID-19 is Associated With Increased State Anxiety: Outcomes of a Large Online Survey in Russia (Preprint) .

Ney A, Nené NR, Sedlak E, Acedo P, Blyuss O, Whitwell HJ, Costello E, Gentry-Maharaj A et al. . Identification of a serum proteomic biomarker panel using diagnosis specific ensemble learning and symptoms for early pancreatic cancer detection .

Li Z, Jacobs I, Menon U, Gentry-Maharaj A, Zakharov D, Zaikin A, Blyuss O . LOCD: a novel LOWESS based computational methodology for early detection of ovarian cancer with biomarker screening .

Li Z, Andreev A, Hramov A, Blyuss O, Zaikin A . Novel efficient reservoir computing methodologies for regular and irregular time series classification .

Spiridonova E, Bobkova P, Tyrykina M, Kartashova V, Nikitin Y, Gushchin M, Skibo I, Vasiliev A et al. . Potential utility of calculated globulin as a screening tool for antibody deficiency in children .

Sushentsev N, Li IG, Xu G, Warren AY, Hsu CY, Baxter M, Panchal D, Kastner C et al. . Predicting Active Surveillance Failure for Prostate Cancer Patients in the MRI Era: a Multicentre Transatlantic Cohort Study .

Osmanov IM, Spiridonova E, Bobkova P, Gamirova A, Shikhaleva A, Andreeva M, Blyuss O, El-Taravi Y et al. . Risk factors for long covid in previously hospitalised children using the ISARIC Global follow-up protocol: A prospective cohort study .

Munblit D, Bobkova P, Spiridonova E, Shikhaleva A, Gamirova A, Blyuss O, Nekliudov N, Bugaeva P et al. . Risk factors for long-term consequences of COVID-19 in hospitalised adults in Moscow using the ISARIC Global follow-up protocol: StopCOVID cohort study .

Li Z, Zaikin A, Blyuss O . Time-series Classification for Patients under Active Surveillance and Screening Using Echo State Network .