News
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Protected: PreVAIL klds intro meeting w DCC
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Protected: PreVAIL klds Kickoff Meeting
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Severity Predictors Integrating Salivary Transcriptomics and Proteomics with Multi Neural Network Intelligence in SARS-CoV2 Infection in Children (SPITS MISC)
Abstract Text: Children have been disproportionately less impacted by the Corona Virus Disease 2019 (COVID-19) caused by the Severe Acute Respiratory Syndrome Corona Virus 2 (SAR-CoV-2) compared to adults. However, severe illnesses including Multisystem Inflammatory Syndrome (MIS-C) and respiratory failure have occurred in a small proportion of children with SARS-CoV-2 infection. Nearly 80% of children…
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Identifying Biomarker Signatures of Prognostic Value for Multisystem Inflammatory Syndrome in Children (MIS-C)
Abstract Text: In adults, SARS-CoV-2 infection exhibits a wide range of clinical outcomes, from asymptomatic and mild disease to severe viral pneumonia, respiratory distress, acute kidney injury, thrombotic disorders, and serious cardiac, cerebrovascular and vascular complications. Severe infection can also occur both in children and young adults (< 21), and a significant proportion of children…
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COVID-19 Network of Networks Expanding Clinical and Translational Approaches to Predict Severe Illness in Children (CONNECT to Predict Sick Children)
Abstract Text: The SARS-CoV-2 pandemic has manifested in children with a wide spectrum of clinical presentations ranging from asymptomatic infection to devastating acute respiratory symptoms, appendicitis (often with rupture), and Multisystem Inflammatory Syndrome in Children (MIS-C), a serious inflammatory condition presenting several weeks after exposure to or infection with the virus. These presentations overlap in…
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Diagnosis of MIS-C in Febrile Children
Abstract Text: The recent emergence of SARS-CoV-2 and resultant pandemic of COVID-19 disease has overwhelmed global health systems and led to over 200,000 American deaths to date. While initial reports suggested that SARS- CoV-2 infection in children was generally benign, a novel post-inflammatory syndrome known as multisystem inflammatory syndrome in children (MIS-C) has now been…
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AICORE-kids: Artificial Intelligence COVID-19 Risk AssEssment for kids
Abstract Text: This work is directed at characterizing pediatric COVID-19 and stratifying incoming patients by projected (future) disease severity. Such stratification has several implications: immediately improving treatment planning, and as disease mechanistic pathways are uncovered, directing treatment. Predicting future severity will inform the risks of outpatient treatment; to the patients themselves, their family, other caregivers/cohabitants,…
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Discovery and Clinical Validation of Host Biomarkers of Disease Severity and Multi-System Inflammatory Syndrome in Children (MIS-C) with COVID-19
Abstract Text: Novel approaches for early and accurate diagnosis of COVID-19 associated syndromes and evaluation of clinical severity and outcomes of COVID-19 disease in children are urgently needed. The overarching goal of this grant proposal is to develop clinical assays that can evaluate and predict severity of pediatric COVID-19 disease, ranging from asymptomatic or mildly…
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A Data Science Approach to Identify and Manage Multisystem Inflammatory Syndrome in Children (MIS-C) Associated with SARS-CoV-2 Infection and Kawasaki Disease (KD) in Pediatric Patients
Abstract Text: Since the SARS-CoV-2 pandemic began, the emergence of an associated novel multisystem inflammatory syndrome in children (MIS-C) has been reported. Interestingly, patients with MIS-C follow a presentation, management and clinical course that are somewhat similar to that of patients with Kawasaki disease (KD). Currently, the reason for such an overlap in clinical features…
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Diagnosing and Predicting Risk in Children with SARS-CoV-2- Related Illness
Abstract Text: In the wake of COVID-19 pandemic, Multisystem Inflammatory Syndrome in Children (MIS-C) has evolved as a new threat to children exposed to SARS-CoV-2. The emergence of MIS-C is so new and so rapidly evolving that there are currently no diagnostic tests to identify these patients nor are there tools to predict disease progression.…