Introduction: The objective of this study was to investigate the possible link between infl uenza (Flu) infection and Kawasaki disease (KD). Methods: We examined the medical records of 1,053 KD cases and 4,669 infl uenza infection cases hospitalized at our institute from January 1, 2011 to December 31, 2013. Cases of KD with concomitant infl uenza infection formed the KD + Flu group. Each KD + ...

Infection with SARS-CoV-2 virus is a serious challenge for the entire medical and scientific community. Medical institutions are facing record numbers of patients conflicting claims about due to its mutagenic properties, thanks D614G protein from Coronavirus (CoV) defining determines mutagenicity SARS - CoV MERS-CoV [1,2]. With expansion COVID-19 Pandemic, researchers have reported [3] clinical...

BACKGROUND Descriptive epidemiologic studies of recurrent and non-recurrent Kawasaki disease (KD) may identify other potentially important differences between these illnesses. METHODS Data from the USA and Japan, the Centers for Disease Control and Prevention (CDC) national KD surveillance(1984-2008) and the 17th Japanese nationwide survey (2001-2002), respectively, were analyzed to examine r...

Intravenous immunoglobulin (IVIG) is used to treat several autoimmune and inflammatory diseases, but some patients are refractory IVIG require alternative treatments. Identifying a biomarker that could segregate responders from non-responders has been subject of intense research. Unfortunately, previous transcriptomic studies aimed at addressing resistance have failed predict identify IVIG-non-...

Kawasaki Disease (KD) is a self-limited acute vasculitis that mainly affects medium-sized arteries in childhood, with the coronary being one of main targets. A well-known complication aneurysm myocardial ischemia. We report case 29-year-old female an insignificant past medical history who presented sudden cardiac arrest. Labs were significant for elevated troponin, consistent non-ST elevation i...

Knowledge distillation (KD) has been actively studied for image classification tasks in deep learning, aiming to improve the performance of a student based on knowledge from teacher. However, applying KD regression with scalar response variable rarely studied, and there exists no method applicable both yet. Moreover, existing methods often require practitioner carefully select or adjust teacher...

Knowledge distillation (KD) has emerged as an essential technique not only for model compression, but also other learning tasks such continual learning. Given the richer application spectrum and potential online usage of KD, knowledge efficiency becomes a pivotal component. In this work, we study little-explored important topic. Unlike previous works that focus solely on accuracy student networ...

Knowledge distillation (KD) has proved to be an effective approach for deep neural network compression, which learns a compact (student) by transferring the knowledge from pre-trained, over-parameterized (teacher). In traditional KD, transferred is usually obtained feeding training samples teacher obtain class probabilities. However, original dataset not always available due storage costs or pr...

Abstract Glioblastoma (GBM) represents a particularly aggressive and immune-resistant cancer. Preclinical investigations have identified the anti-tumor activity of ketogenic diet (KD) in GBM, potentially being used as tool to target its glycolytic phenotype. Since immune cells tumor similar reliance upon nutrients perform their individual functions, we sought determine if KD influenced landscap...