Development and Validation of a Nomogram to Predict Ventricular Fibrillation During Percutaneous Coronary Intervention in Patients With Acute Myocardial Infarction by Ruifeng Liu, Xiangyu Gao, Jihong Fan, Huiqiang Zhao

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The role of mathematics in transdisciplinarity content of modern education by V. A. Testov, E. A. Perminov

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Predicting Tolerance to Cow’s Milk Allergy in Children Using IgE and IgG4 Peptide Binding Profiles by Carlos Fernández-Lozano, Sergio Olmos-Piñero, Laura Sánchez-Ruano, Soledad Terrados, Mª del Carmen Diéguez, Montserrat Fernández-Rivas, Cristina Vlaicu, Inmaculada Cerecedo, Alejandro Gonzalo-Fernandez, Belén de la Hoz, Javier Martínez-Botas

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A robust machine learning approach to predicting remission and stratifying risk in rheumatoid arthritis patients treated with bDMARDs by Fatemeh Salehi, Emmanuelle Salin, Benjamin Smarr, Sara Bayat, Arnd Kleyer, Georg Schett, Ruth Fritsch-Stork, Bjoern M. Eskofier

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Decoding Inflammation: The Role of Neutrophil-to-Lymphocyte Ratio and Platelet-to-Lymphocyte Ratio in Predicting Critical Outcomes in COVID-19 Patients by Aida-Isabela Adamescu, Cătălin Tilișcan, Laurențiu Mihăiță Stratan, Nicoleta Mihai, Oana-Alexandra Ganea, Sebastian Ciobanu, Adrian Gabriel Marinescu, Victoria Aramă, Ștefan Sorin Aramă

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Lung Cancer incidence in both sexes across global areas: data from 1978 to 2017 and predictions up to 2035 by Dong-Ning Lu, Yan Jiang, Wan-Chen Zhang, Rong-Kang Du, Ao Zeng, Yi-Mu Wu, Xiao Zhou

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Clinicopathological-based nomogram prediction and molecular characterization of postoperative recurrence in clinical T1 clear cell renal cell carcinoma by Zhao Yang, Keruo Wang, Haowen Chang, Songyang Li, Hongli Zhang, Yilei Lu, Jiaming Zhang, Kangkang Liu, Yuanjie Niu, Zhiqun Shang

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Monte Carlo Simulation Strategies for Predicting CO/CH Adsorption onto Activated Carbons from Pure Gas Isotherms by José C.A. de Oliveira, Rafael B. Rios, Raúl H. López, Hugo R. Peixoto, Valéria Cornette, A. Eurico B. Torres, Célio L. Cavalcante, Diana C.S. Azevedo, Giorgio Zgrablich

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Pretreatment immune-inflammatory prognostic score in predicting clinical outcomes in esophageal squamous cell carcinoma receiving neoadjuvant immunochemotherapy by Qiang Zhao, Liang Wang, Xun Yang, Jifeng Feng, Jifeng Feng, Qixun Chen, Qixun Chen

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LiSENCE: A Hybrid Ligand and Sequence Encoder Network for Predicting CYP450 Inhibitors in Safe Multidrug Administration by Abena Achiaa Atwereboannah, Wei-Ping Wu, Sophyani B. Yussif, Muhammed Amin Abdullah, Edwin K. Tenagyei, Chiagoziem C. Ukuoma, Yeong Hyeon Gu, Mugahed A. Al-antari

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Bioelectrical impedance analysis–derived phase angle predicts possible Sarcopenia in patients on maintenance hemodialysis: a retrospective study by Ying Zeng, Yang Chen, Yujie Yang, Ying Qiu, Ping Fu, Huaihong Yuan

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Optimisasi Hyperparameter BiLSTM Menggunakan Bayesian Optimization untuk Prediksi Harga Saham by Fandi Presly Simamora, Ronsen Purba, Muhammad Fermi Pasha

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The Perceived Concerns of Nurse Educators' Use of GenAI in Nursing Education: Protocol for a Scoping Review by Denise R. Gehring, Sharon K. Titus, Ragi George

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NCR as a biomarker for nutritional status and inflammation in predicting outcomes in patients with cancer cachexia: a prospective, multicenter study by Xiangrui Li, Li Deng, Hailun Xie, Shuqun Li, Hong Zhao, Tong Liu, Xiaoyue Liu, Shiqi Lin, ChengAn Liu, Han-Ping Shi

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Glycated Hemoglobin: a promising biomarker for predicting acute exacerbation and short-term mortality of chronic obstructive pulmonary disease by Asmaa Ali, Liang Wu, Mai M. Saleh, Heba Salem, Ahmad Aljarallah, Samah Mohamad Lotfy, Amr Aly Elshormilisy, Seham Ezzat Fathy Elfeky

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Predicting the Effect of Meropenem Against <i>Klebsiella pneumoniae</i> Using Minimum Inhibitory Concentrations Determined at High Inocula by Maria V. Golikova, Kamilla N. Alieva, Elena N. Strukova, Julia R. Savelieva, Daria A. Kondratieva, Svetlana A. Dovzhenko, Mikhail B. Kobrin, Vladimir A. Ageevets, Alisa A. Avdeeva, Stephen H. Zinner

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Predicting Social Frailty in Older Adults Using Fitbit-Derived Circadian and Heart Rate Biomarkers: Cross-Sectional Study by Hiroki Maekawa, Yu Kume

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Predicting forest above-ground biomass using SAR imagery and GEDI data through machine learning in GEE cloud by Chiranjit Singha, Kishore Chandra Swain, Satiprasad Sahoo, Ayad M. Fadhil Al-Quraishi, Joseph Omeiza Alao, Hussein Almohamad, Mohamed Fatahalla Mohamed Ahmed, Hazem Ghassan Abdo

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AI-based body composition analysis of CT data has the potential to predict disease course in patients with multiple myeloma by Franz Wegner, Malte Maria Sieren, Hanna Grasshoff, Lennart Berkel, Christoph Rowold, Marcel Philipp Röttgerding, Soleiman Khalil, Sam Mogadas, Felix Nensa, René Hosch, Gabriela Riemekasten, Anna Franziska Hamm, Nikolas von Bubnoff, Jörg Barkhausen, Roman Kloeckner, Cyrus Khandanpour, Theo Leitner

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Extracellular Volume by Computed Tomography Is Useful for Prediction of Prognosis in Dilated Cardiomyopathy Cases with Heart Failure with Reduced Ejection Fraction by Satomi Yashima, Hiroyuki Takaoka, Joji Ota, Moe Matsumoto, Yusei Nishikawa, Yoshitada Noguchi, Shuhei Aoki, Kazuki Yoshida, Katsuya Suzuki, Makiko Kinoshita, Haruka Sasaki, Noriko Suzuki-Eguchi, Tomonori Kanaeda, Yoshio Kobayashi

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