По вашему запросу найдено документов: 38

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Artificial intelligence for direct-to-physician reporting of ambulatory electrocardiography
Johnson, L.S., Zadrozniak, P., Jasina, G., Grotek-Cuprjak, A., Andrade, J.G., Svennberg, E., Diederichsen, S.Z., McIntyre, W.F., Stavrakis, S., Benezet-Mazuecos, J., Krisai, P., Iakobishvili, Z., Laish-Farkash, A., Bhavnani, S., Ljungström, E., Bacevicius, J., Vreeswijk, N.L., Rienstra, M., Spittler, R., Marx, J.A., Oraii, A., Miracle Blanco, A., Lozano, A., Mustafina, I., Zafeiropoulos, S., Bennett, R., Bisson, J., Linz, D., Kogan, Y., Glazer, E., Marincheva, G. l., Rahkovich, M., Shaked, E., Ruwald, M.H., Haugan, K., Węcławski, J., Radoslovich, G., Jamal, S., Brandes, A., Matusik, P.T., Manninger, M., Meyre, P.B., Blum, S., Persson, A., Måneheim, A., Hammarlund, P., Fedorowski, A., Wodaje, T., Lewinter, C., Juknevicius, V., Jakaite, R., Shen, C., Glotzer, T., Platonov, P., Engström, G., Benz, A.P., Healey, J.S. (2025)
Developments in ambulatory electrocardiogram (ECG) technology have led to vast amounts of ECG data
Многофакторный анализ прогностических и предиктивных онкомаркеров у пациентов с трижды негативным раком молочной железы
Multifactorial Analysis of Prognostic and Predictive Biomarkers in Triple Negative Breast Cancer Patients
В. Н. Павлов, V. N. Pavlov, М. Ф. Урманцев, M. F. Urmantsev, Р. Ф. Гильманова, R. F. Gilmanova, Ю. А. Исмагилова, J. A. Ismagilova, М. Р. Бакеев, M. R. Bakeev (Креативная хирургия и онкология, №2, 2025)
Relationship of MicroRNAs to Transposons in Osteoarthritis Development
Mustafin, R.N., Khusnutdinova, E.K. (2025)
was conducted for data on changes in the expression of specific microRNAs derived from transposons during aging
Анализ данных иммуногистохимического исследования слизистой оболочки полости рта при эрозивно-язвенной форме плоского лишая
Immunohistochemical study data analysis off oral mucosa in the erosive and ulcerative form of the lichen planus
Usmanova, I.N., Lakman, I.A., Gurievskaya, O.A., Bulgakova, A.I., Borzilova, O.H., Fazlyakhmetova, K.Sh., Khafizova, A.A., Teregulov, I.I., Vasil’ev, Yu.L, Усманова, И.Н., Лакман, И.А., Гурьевская, О.А., Булгакова, А.И., Борзилова, О.Х., Фазлыахметова, К.Ш., Хафизова, А.А., Терегулов, И.И., Васильев, Ю.Л. (2025)
Immunohistochemical study data analysis off oral mucosa in the erosive and ulcerative form
Bioinformatics analysis of potential pathogenesis and risk genes of neuroinflammation-promoted brain injury in intracerebral hemorrhage
Gareev, Ilgiz, Beylerli, Ozal, Musaev, Elmar, Wang, Chunlei, Pavlov, Valentin (2025)
. Methods: The GSE24265 dataset, consisting of data from four perihematomal brain tissues and seven
Impact of Antiaggregant and Anticoagulant Medications on Perioperative Complications in Upper Tract Urothelial Carcinoma
Liu, Kang, Wong, Chris Ho-Ming, Zhao, Hongda, Ng, Chi Fai, Teoh, Jeremy Yuen-Chun, Laguna, Pilar (2025)
Background and objective: Contemporary data are limited regarding the clinical practice
Роль оральной микробиоты в этиологии, патогенезе пародонтита и в системной патологии
The role of oral microbiota in the etiology, pathogenesis of periodontitis and systemic pathology
Gimranova, I.A., Gritsenko, V.A., Rabinovich, I.M., Akmalova, G.M., Shvets, D.Yu., Гимранова, И.А., Гриценко, В.А., Рабинович, И.М., Акмалова, Г.М., Швец, Д.Ю. (2025)
Evaluation of Polygenic Risk Score for Prediction of Childhood Onset and Severity of Asthma
Savelieva, Olga, Karunas, Alexandra, Prokopenko, Inga, Balkhiyarova, Zhanna, Gilyazova, Irina, Khidiyatova, Irina, Khusnutdinova, Elza (2025)
meta-analysis, and genotype data for 882 individuals with asthma/controls from the Volga-Ural region
Complex Analysis of Micronutrient Levels and Bone Mineral Density in Patients with Different Types of Osteogenesis Imperfecta
Valeeva, Diana, Akhiiarova, Karina, Minniakhmetov, Ildar, Mokrysheva, Natalia, Khusainova, Rita, Tyurin, Anton (2025)
: The obtained data emphasize the importance of the levels of micronutrients in the pathogenesis of connective
Assessment of biocompatibility and toxicity of basic copper carbonate nanoparticles stabilized with biological macromolecules
Blinov, Andrey, Nagdalian, Andrey, Rzhepakovsky, Igor, Rekhman, Zafar, Askerova, Alina, Agzamov, Vadim, Kayumov, Umedzhon, Tairov, Dilshod, Ibrahimov, Sobirzhon, Sayahov, Ilgiz (2025)
data showed that Cu(CH3COO)2 is the optimal precursor and (NH4)2CO3 is the optimal precipitator

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