Time to move beyond risk assessment models for ambulatory cancer-associated thrombosis by Karlyn A. Martin, Chris Holmes

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Epidemiological Manifestations and Risk Assessment of Melanoma and other Skin Cancers in Altaiskiy Krai by A. I. Blokh, V. L. Stasenko

“…A component analysis of the dynamic changes in morbidity during the studied period was carried out. The risk of development to 75, 85 years old and throughout life of the studied cancers was assessed for a residents of the Altaiskiy krai. …”
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Deep learning assessment of metastatic relapse risk from digitized breast cancer histological slides by I. Garberis, V. Gaury, C. Saillard, D. Drubay, K. Elgui, B. Schmauch, A. Jaeger, L. Herpin, J. Linhart, M. Sapateiro, F. Bernigole, A. Kamoun, A. Filiot, O. Tchita, R. Dubois, M. Auffret, L. Guillou, I. Bousaid, M. Azoulay, J. Lemonnier, M. Sefta, S. Everhard, A. Sarrazin, J-F Reboud, F. Brulport, J. Dachary, B. Pistilli, S. Delaloge, P. Courtiol, F. André, V. Aubert, M. Lacroix-Triki

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RISK ASSESSMENT FOR THE POPULATION OF SAINT-PETERSBURG FROM RESIDENTIAL EXPOSURE TO RADON by D. V. Kononenko

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CORONET online risk assessment tool and Charlson comorbidity index in predicting fatalities in cancer patients with COVID-19 by A. S. Rusanov, M. I. Sekacheva, A. A. Tyazhelnikov

“…Сomparing and evaluating the prognostic potential of the CORONET online risk assessment tool and the Charlson Comorbidity Index in predicting mortality in cancer patients with COVID-19.Materials and methods. …”
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Risk Prediction Model for Elderly Differentiated Thyroid Cancer Based on Combined Sleep Quality Assessment and Multimodal Ultrasound by Xudan Lou, Na Yi, Yingchun Liu, Yuanyuan Xu, Jieyuzhen Qiu, Xiaoming Tao, Zhijun Bao

“…ABSTRACT Objective To explore the differential diagnosis for benign and malignant thyroid nodules and the diagnostic value of sleep quality, to construct and validate a risk prediction model, providing the basis for clinical treatment decision for elderly thyroid cancer. …”
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Cancer Risk Associated with Inhalation Exposure to PM₁₀-Bound PAHs and PM₁₀-Bound Heavy Metals in Polish Agglomerations by Barbara Kozielska, Dorota Kaleta

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A retrospective study on nutrition risk assessment and nutritional management of head and neck cancer patients undergoing surgery in a tertiary care teaching hospital by Koyel Pal Chowdhury, Debasis Barman, Arunabha Sengupta

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Health Risk Assessment of NO₂, PM₂.₅ and PM₁₀ Exposure in Children and Adolescents by Anwar Mallongi, Aminuddin Syam, Sukri Palutturi, Wesam A. Madhoun, Sopa Chinwetkitvanich, Dede A. Musadad, Wahiduddin, Ernyasih, Ratna D. Puji Astuti, Annisa U. Rauf, Shubham Pathak

“…In contrast, adolescents showed cancer risks of 102 and 223, indicating high risks. …”
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Cancer mortality risk in the Urals Cohort of Exposed Population Offspring by D. A. Zavyalov, L. Yu. Krestinina

“…The objective of the study is to analyze solid cancer mortality and estimate the risk value of solid cancer mortality in the offspring of parents irradiated in the Southern Urals, depending on the dose to the parents' gonads as well as to conduct a preliminary assessment of the mortality risk from cancer of individual locations depending on the gonadal dose. …”
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The risk of mortality from multiple primary cancers in colorectal cancer survivors: analysis of data from the South Australian Cancer Registry by Mulugeta Melku, Oliver G. Best, Jean M. Winter, Lauren A. Thurgood, Ganessan Kichenadasse, Molla M. Wassie, Muktar Ahmed, Erin L. Symonds

“…Abstract Purpose Colorectal cancer (CRC) survivors face an increased risk of multiple primary cancers (MPCs), but evidence on MPC-related mortality is limited. …”
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Robot-Assisted Radical Prostatectomy in High-Risk Prostate Cancer by V. N. Pavlov, M. V. Loginova, A. A. Izmailov, M. F. Urmantsev

“…Background. Prostate cancer (PC) is subdivided into risk categories according to patient prognosis. …”
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Association Study of Polymorphisms in the LEP Gene with Breast Cancer Risk by Ahmad Hamta, Paniz Ghasemian Safaei

“…The present study aimed to assess the association between polymorphisms in the Leptin gene and breast cancer risk in Arak, Iran. …”
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Assessing the influence of circulating tumor cells on the prognosis of breast cancer by A. V. Zyuzyukina, V. I. Borodulina, O. S. Kolovskaya, G. S. Zamay, D. A. Kirichenko, T. N. Zamay, A. S. Kichkaylo, R. A. Zukov

“…To monitor antitumor therapy using the level of circulating tumor cells (CTC) in the peripheral blood of breast cancer (BC) patients using aptamers.Materials and methods. …”
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Assessment of Patient Experience During Active Surveillance for Prostate Cancer by Devon M. Langston, Matthew J. DePuccio, Ann Scheck McAlearney, Sooyoung Kim, Alice A. Gaughan, Alicia Scimeca, Shawn Dason, Tasha Posid, John O. DeLancey

“…Active surveillance is a preferred strategy for patients with low-risk prostate cancer to delay and/or avoid side effects of treatment. …”
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ASSESSING THE RISK OF COMPLICATIONS DURING INDUCTION IN THE PATIENTS WITH LARGE MEDIASTINAL MASS by E. G. Kryukova, B. A. Akselrod, V. V. Stadler, M. O. Vozdvizhenskiy

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Surveillance for melanoma and other skin cancers at the regional level by A. I. Blokh, V. L. Stasenko

“…The most ultraviolet-susceptible phototypes of the skin (Fitzpatrick I and II) were present in 11.5% (146/1266) and 29.8% (377/1266) of respondents, respectively.Conclusion. Routine assessment of the risk factors of melanoma and non-melanoma skin cancers can contribute to the efficient surveillance and prevention. …”
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Predicting cancer risk using machine learning on lifestyle and genetic data by Mohamed Abdelmoaty Ahmed, Ahmed AbdelMoety, Asmaa Mohamed Ahmed Soliman

“…The findings highlight the effectiveness of boosting-based ensemble models in capturing complex interactions within health data and support their potential use in personalized cancer risk assessment. This research underscores the value of integrating genetic and modifiable lifestyle variables into predictive modeling to enhance early detection and preventive healthcare strategies.…”
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Objective methods for assessing the severity of patients condition in a surgical intensive care unit by F. A. Pchelintseva, M. V. Petrova, I. S. Shmyr, K. A. Mironov, E. V. Gameeva

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Mammographic Screening as a Tool for Cardiovascular Risk Assessing. Part 1. Breast Arterial Calcification: Pathomorphology, Prevalence and Risk Factors by E. V. Bochkareva, I. V. Kim, E. K. Butina, I. D. Stulin, S. A. Trukhanov, B. A. Rudenko, S. A. Boytsov, O. M. Drapkina

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