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Page 1
Prothrombin Time.
Yang R, Zubair M, Moosavi L. Yang R, et al. 2024 Jan 23. In: StatPearls [Internet]. Treasure Island (FL): StatPearls Publishing; 2026 Jan–. 2024 Jan 23. In: StatPearls [Internet]. Treasure Island (FL): StatPearls Publishing; 2026 Jan–. PMID: 31334989 Free Books & Documents.
POC devices are of great value in emergency and operating room settings where clinical diagnosis and intervention are time-sensitive. With increased prescribing of vitamin K-antagonists like warfarin, point-of-care devices have also been more convenient for patients and c …
POC devices are of great value in emergency and operating room settings where clinical diagnosis and intervention are time-sensitive. With …
Biological Characterization of a Stable Effector Functionless (SEFL) Monoclonal Antibody Scaffold in Vitro.
Liu L, Jacobsen FW, Everds N, Zhuang Y, Yu YB, Li N, Clark D, Nguyen MP, Fort M, Narayanan P, Kim K, Stevenson R, Narhi L, Gunasekaran K, Bussiere JL. Liu L, et al. J Biol Chem. 2017 Feb 3;292(5):1876-1883. doi: 10.1074/jbc.M116.748707. Epub 2016 Dec 19. J Biol Chem. 2017. PMID: 27994063 Free PMC article.
The engineering and stability and pharmacokinetic assessments of the SEFL scaffold is described in the accompanying article (Jacobsen, F. W., Stevenson, R., Li, C., Salimi-Moosavi, H., Liu, L., Wen, J., Luo, Q., Daris, K., Buck, L., Miller, S., Ho, S-Y., Wang, W., C …
The engineering and stability and pharmacokinetic assessments of the SEFL scaffold is described in the accompanying article (Jacobsen, F. W. …
Machine learning for air quality index (AQI) forecasting: shallow learning or deep learning?
Kalantari E, Gholami H, Malakooti H, Nafarzadegan AR, Moosavi V. Kalantari E, et al. Environ Sci Pollut Res Int. 2024 Nov;31(54):62962-62982. doi: 10.1007/s11356-024-35404-1. Epub 2024 Oct 28. Environ Sci Pollut Res Int. 2024. PMID: 39467867
In this study, several machine learning (ML) models consisting of shallow learning (SL) models (e.g., random forest (RF), K-nearest neighbor (KNN), weighted K-nearest neighbor (WKNN), support vector machine (SVM), artificial neural network (ANN), and deep learning ( …
In this study, several machine learning (ML) models consisting of shallow learning (SL) models (e.g., random forest (RF), K-nearest n …
An evidence-based review literature about risk indicators and management of unknown-origin xerostomia.
Agha-Hosseini F, Moosavi MS. Agha-Hosseini F, et al. J Dent (Tehran). 2013 May;10(3):273-82. J Dent (Tehran). 2013. PMID: 25512755 Free PMC article. Review.
Neuropathic etiology such as localized oral alteration of thermal sensations, saliva composition change (for example higher levels of K, Cl, Ca, IgA, amylase, calcium, PTH and cortisol), lower levels of estrogen and progesterone, smaller salivary gland size, and illnesses …
Neuropathic etiology such as localized oral alteration of thermal sensations, saliva composition change (for example higher levels of K …
Rivaroxaban in patients undergoing surgical mitral valve repair.
Noohi F, Sadeghipour P, Kordrostami S, Shafe O, Maleki M, Kyavar M, Bakhshandeh H, Rezaei Y, Rokni M, Moosavi J, Amin A, Tashakori Beheshti A, Hosseini S. Noohi F, et al. J Thromb Thrombolysis. 2020 Apr;49(3):475-479. doi: 10.1007/s11239-020-02046-2. J Thromb Thrombolysis. 2020. PMID: 32002769 Clinical Trial.
In patients undergoing mitral valve repair (MVre), a 3-month course of anticoagulation is currently recommended. The role of the non-vitamin K antagonist oral anticoagulants has here been scarcely studied. In the present mixed cohort study, the safety and efficacy of rivar …
In patients undergoing mitral valve repair (MVre), a 3-month course of anticoagulation is currently recommended. The role of the non-vitamin …
Chemical fractions of potassium in arid region calcareous soils: The impact of microclimates and physiographic variability.
Poozesh Shirazi M, Enjavinezhad SM, Moosavi AA. Poozesh Shirazi M, et al. PLoS One. 2024 Nov 25;19(11):e0314239. doi: 10.1371/journal.pone.0314239. eCollection 2024. PLoS One. 2024. PMID: 39585889 Free PMC article.
The XRD analyzing patterns showed that the distribution of K forms is controlled by K-bearing minerals (i.e., illite) in finer particles of the soils. Physiographic units significantly affect the distribution of K forms due to different microclimates (such as …
The XRD analyzing patterns showed that the distribution of K forms is controlled by K-bearing minerals (i.e., illite) in finer …
50 results