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Profil bibliographique

The NU SCRIPT Study Investigators

Informations fournies par OpenAlex. Research Africa ne déduit ni nationalité, ni poste, ni coordonnées personnelles.

4Publications signalées
1Citations signalées
0Affiliations récentes

Les domaines associés

Sepsis Diagnosis and TreatmentNosocomial Infections in ICUPneumonia and Respiratory InfectionsIon Channels and ReceptorsRespiratory viral infections research

Les publications récentes

Accès ouvert 2026 preprint OpenAlex

The CRAC channel inhibitor Auxora interrupts inflammatory circuits between alveolar macrophages and T cells in patients with viral pneumonia

S Marina Casalino-Matsuda, Vijeeth Guggilla, Catherine A Gao, Kaitlyn E. DeMeulenaere et autres

Abstract Viral pneumonia is perpetuated by inflammatory circuits between activated T cells and monocyte-derived alveolar macrophages (MoAM). T cells and macrophages express ORAI1 and STIM1, which form calcium release-activated calcium (CRAC) channels that allow extracellular calcium entry in response to endoplasmic reticulum …

us (code pays fourni par la source)

0 citations medRxiv
Accès ouvert 2026 preprint OpenAlex

Pathogen-specific host responses define distinct pneumonia endotypes in the human lung

Nikolay S. Markov, Marcin Możejko, Vijeeth Guggilla, Małgorzata Łazęcka et autres

Pneumonia is the leading cause of death from infectious disease worldwide. The diagnosis and treatment of patients with pneumonia lag behind other major conditions, relying on syndromic definitions that lack molecular resolution and ignore underlying endotypes. We sought to test the hypothesis …

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1 citation bioRxiv (Cold Spring Harbor Laboratory)
Accès ouvert 2026 preprint OpenAlex

CarpeDiem , a per-day clinical parameters and pneumonia adjudication dataset for critically ill patients with suspected pneumonia

Catherine A. Gao, Nikolay S. Markov, Mengjia Kang, Luke V. Rasmussen et autres

Abstract Many analyses of critically ill patients focus on admission features and discharge outcomes, overlooking daily events and intercurrent complications. Pneumonia is a syndromic entity that is difficult to adjudicate outcomes without clinical expertise. Here, we examine clinical features on a day-by-day …

us (code pays fourni par la source)

0 citations medRxiv
Accès ouvert 2026 preprint OpenAlex

Developing and externally validating machine learning models to forecast short-term risk of ventilator-associated pneumonia

Alec Peltekian, Wan-Ting Liao, Vijeeth Guggilla, Nikolay S. Markov et autres

Purpose: Ventilator-associated pneumonia (VAP) remains one of the most serious hospital-acquired infections in the intensive care unit (ICU), with high morbidity and mortality. Early identification of patients at risk for developing VAP could enable timely diagnostics and intervention. However, current clinical tools …

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0 citations medRxiv

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