Personalized treatment strategies for breast adenoid cystic carcinoma: A machine learning approach by Sakhr Alshwayyat, Mahmoud Bashar Abu Al Hawa, Mustafa Alshwayyat, Tala Abdulsalam Alshwayyat, Siya sawan, Ghaith Heilat, Hanan M. Hammouri, Sara Mheid, Batool Al Shweiat, Hamdah Hanifa

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Comparing multi-texture fibrosis analysis versus binary opacity-based abnormality detection for quantitative assessment of idiopathic pulmonary fibrosis by Sebastian Nowak, Dominik Creuzberg, Maike Theis, Carmen Pizarro, Alexander Isaak, Claus C. Pieper, Julian A. Luetkens, Dirk Skowasch, Alois M. Sprinkart, Daniel Kütting

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Effects of Tp53 Gene Mutations on the Survival of Non-Small Cell Lung Cancer (NSCLC); A Short Review by Zhang C, Yang C, Shi Q

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SurvBeNIM: The Beran-Based Neural Importance Model for Explaining Survival Models by Lev V. Utkin, Danila Y. Eremenko, Andrei V. Konstantinov, Vladimir A. Muliukha

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Characterizing the pan-cancer role of exosomal miRNAs in metastasis across cancers by Piyush Agrawal, Gulden Olgun, Arashdeep Singh, Vishaka Gopalan, Sridhar Hannenhalli

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Tumor-Infiltrating Lymphocytes and Neutrophils and Their Location in Canine Mammary Neoplasms with a Solid Arrangement: A Prognostic Factor? by Mayra C. Flecher, Marina P. Reys, Débora Balabram, Karen Y. R. Nakagaki, Geovanni D. Cassali

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Identifying factors for pembrolizumab eligibility in head and neck cancer by Satoru Miyamaru, Daizo Murakami, Kohei Nishimoto, Yorihisa Orita

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Survival parametric modeling for patients with heart failure based on Kernel learning by Maryam Montaseri, Mansour Rezaei, Armin Khayati, Shayan Mostafaei, Mohammad Taheri

Subjects: “…Survival Analysis…”
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Real-World Experience with CDK4/6 Inhibitors in the First-Line Palliative Setting for HR+/HER2− Advanced Breast Cancer by Ram Patel, John Mathews, Caroline Hamm, Swati Kulkarni, Rasna Gupta, Tarquin Opperman, John Dean Chiong, Abdullah Nasser

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Analysis of chronic kidney disease epidemiology in Kazakhstan using nationwide data for 2014–2020 and forecasting future trends of prevalence and mortality for 2030 by Gulnur Zhakhina, Kamilla Mussina, Sauran Yerdessov, Arnur Gusmanov, Yesbolat Sakko, Valdemir Kim, Dmitriy Syssoyev, Meruyert Madikenova, Ainur Assan, Zhanat Kuanshaliyeva, Duman Turebekov, Kuanysh Yergaliyev, Bolat Bekishev, Abduzhappar Gaipov

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Robust survival model for the prediction of Li-ion battery lifetime reliability and risk functions by Rasheed Ibraheem, Timothy I. Cannings, Torben Sell, Gonçalo dos Reis

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Paternal Social Determinants of Childhood Mortality in Zimbabwe by Laston Gonah, Dumisani Sibanda, Sibusiso C Nomatshilla

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Long-term Prospective Comparative Analysis of Ototoxic and Survival Outcomes of Sequential Boost and Simultaneous Integrated Boost of Volumetric Modulated Arc Therapy for Head-Neck... by Nidhin Das, Sri Harsha Kombathula, Vidhu Sharma, Puneet Pareek, Kapil Soni, Amit Goyal

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Harnessing artificial intelligence for predicting breast cancer recurrence: a systematic review of clinical and imaging data by Jaqueline Alvarenga Silveira, Alexandre Ray da Silva, Mariana Zuliani Theodoro de Lima

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TWO-DIMENSIONAL MODELING OF CAR RELIABILITY DURING WARRANTY PERIOD by Piotr SLIŻ, Ewa WYCINKA, Beata JACKOWSKA

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Using the Intermediate Data Structure (IDS) to Construct Files for Statistical Analysis by Luciana Quaranta

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STATA Programs for Using the Intermediate Data Structure (IDS) to Construct Files for Statistical Analysis by Luciana Quaranta

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Convertible metal-backed glenoid in total shoulder arthroplasty: a single-centre case series with minimum 15 years’ follow-up by Riccardo Ranieri, Mario Borroni, Giacomo Delle Rose, Marco Conti, Raffaele Garofalo, Alessandro Castagna

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ncRNA-Mediated High Expression of LPCAT1 Correlates with Poor Prognosis and Tumor Immune Infiltration of Liver Hepatocellular Carcinoma by Qiu Sun, Xudong Liu, Qunlong Peng, Lei Hu, Xiaochun Jiang

“…In this study, expression analysis and survival analysis for LPCAT1 in pan cancers were first performed by using The Cancer Genome Atlas (TCGA) data, which suggested that LPCAT1 might be a potential LIHC oncogene. …”
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A prospective hospital-based study on C-reactive protein as a response predictor of antidepressant treatment in drug naïve patients with major depressive disorder by Didakamiwan Khonglah, Arghya Pal, Nitu Mallik, Debes Ray, Malay Ghosal, Rudraprasad Acharya

“…The patients with low (≤10 mg/l) and high (>10 mg/l) CRP levels were compared for time taken to achieve remission using Kaplan–Meier survival analysis. Results: The Kaplan–Meier survival analysis showed a significantly higher proportion of patients with low CRP levels attained remission than patients with higher CRP levels (Log-rank = 7.594; dF = 1; P = 0.006). …”
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