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Chief Isaac Oluwole Delano: The Man, His Time, and His Significance
Published 2021-12-01“…However, situations necessitated his transfer to Kings College in 1921 where he met with his lifetime friends and college mates; Sir Adetokunbo Ademola, Justice N.O.A. Morgan as well as Dr. …”
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Artificial intelligence links CT images to pathologic features and survival outcomes of renal masses
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Gestational diabetes induces autistic-like behaviors in offspring by disrupting the GABAergic system
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A Nomogram Based on Circulating Inflammatory Factors for Predicting Prognosis of Newly Diagnosed Multiple Myeloma Patients
Published 2025-02-01“…Mowang Wang,1– 4,* Xiaoyan Yue,5,* Yingying Ding,5,* Zhen Cai,1,4 Haowen Xiao,5 He Huang,1– 4 Jingsong He1,4 1Bone Marrow Transplantation Center, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang Province, People’s Republic of China; 2Liangzhu Laboratory, Zhejiang University Medical Center, Hangzhou, Zhejiang Province, People’s Republic of China; 3Institute of Hematology, Zhejiang University, Hangzhou, Zhejiang Province, People’s Republic of China; 4Zhejiang Province Engineering Laboratory for Stem Cell and Immunity Therapy, Hangzhou, Zhejiang Province, People’s Republic of China; 5Department of Hematology and Cell Therapy, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang Province, People’s Republic of China*These authors contributed equally to this workCorrespondence: He Huang; Jingsong He, Bone Marrow Transplantation Center, the First Affiliated Hospital, Zhejiang University School of Medicine, No. 79 Qingchun Road, Hangzhou, Zhejiang Province, 310006, People’s Republic of China, Email huanghe@zju.edu.cn; hejingsong@zju.edu.cnPurpose: The growth and survival of multiple myeloma (MM) cells depend heavily on bone marrow microenvironment, where inflammation emerges as a significant feature and is commonly associated with unfavorable prognosis in MM. …”
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LRP11 promotes stem-like T cells via MAPK13-mediated TCF1 phosphorylation, enhancing anti-PD1 immunotherapy
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Constructing a machine learning model for systemic infection after kidney stone surgery based on CT values
Published 2025-02-01“…Abstract This study aims to develop a machine learning model utilizing Computed Tomography (CT) values to predict systemic inflammatory response syndrome (SIRS) after endoscopic surgery for kidney stones. …”
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Neutrophil to Lymphocyte Ratio as a Predictor of Adverse Outcome in Patients with Decompensated Liver Cirrhosis
Published 2019-03-01“…NLR is an independent risk factor of lethal outcome and SIRS development in patients with decompensated liver cirrhosis.…”
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Outcome and Management of Sepsis at RozhHalat Emergency Hospital in Erbil –Kurdistan region of Iraq
Published 2018-07-01“…The qSOFA score is as good as SIRS criteria in predicting mortality. High lactate, multi-organ failure and multisource of infection associated with the worst outcome. …”
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Lung-homing nanoliposomes for early intervention in NETosis and inflammation during acute lung injury
Published 2025-02-01“…Also, attenuation of systemic inflammatory response syndrome (SIRS), with notable reductions in NETosis and neutrophil trafficking was investigated. …”
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