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Akademický článek

Effect of abrocitinib on skin biomarkers in patients with moderate-to-severe atopic dermatitis.

Autor: Guttman-Yassky E; Icahn School of Medicine at Mount Sinai Medical Center, New York, New York, USA., Facheris P; Icahn School of Medicine at Mount Sinai Medical Center, New York, New York, USA., Gomez-Arias PJ; Icahn School of Medicine at Mount Sinai Medical Center, New York, New York, USA., Del Duca E; Icahn School of Medicine at Mount Sinai Medical Center, New York, New York, USA., Da Rosa JC; Icahn School of Medicine at Mount Sinai Medical Center, New York, New York, USA., Weidinger S; University Hospital Schleswig-Holstein, Kiel, Germany., Bissonnette R; Innovaderm Research Inc., Montreal, Quebec, Canada., Armstrong AW; University of Southern California, Los Angeles, California, USA., Seneschal J; Department of Dermatology and Pediatric Dermatology, National Reference Center for Rare Skin Disorders, Hospital Saint-André, Bordeaux, France.; Bordeaux University, CNRS UMR 5164, Immunoconcept, Bordeaux, France., Eyerich K; University of Freiburg, Freiburg, Germany., Estrada YD; Icahn School of Medicine at Mount Sinai Medical Center, New York, New York, USA., Bose SN; Icahn School of Medicine at Mount Sinai Medical Center, New York, New York, USA., Xu D; Pfizer Inc., San Diego, California, USA., Chen A; Pfizer Inc., Groton, Connecticut, USA., Tatulych S; Pfizer Inc., Groton, Connecticut, USA., Güler E; Pfizer Inc., Istanbul, Turkey., Chan G; Pfizer Inc., Groton, Connecticut, USA., Page KM; Pfizer Inc., Cambridge, Massachusetts, USA., Kerkmann U; Pfizer Pharma GmbH, Berlin, Germany.

Publikováno v: Allergy [Allergy] 2024 May; Vol. 79 (5), pp. 1258-1270. Date of Electronic Publication: 2023 Dec 18.

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Akademický článek

A data-driven model for early prediction of need for invasive mechanical ventilation in pediatric intensive care unit patients.

Autor: Bose SN; Enterprise Data and Analytics, University of Maryland Medical System, Linthicum Heights, MD, United States of America., Defante A; Rady Children's Hospital, San Diego, CA, United States of America., Greenstein JL; Institute for Computational Medicine, Johns Hopkins University, Baltimore, MD, United States of America., Haddad GG; Rady Children's Hospital, San Diego, CA, United States of America.; Division of Respiratory Medicine, Department of Pediatrics, University of California San Diego, La Jolla, CA, United States of America.; Department of Neurosciences, University of California San Diego, La Jolla, CA, United States of America., Ryu J; Division of Respiratory Medicine, Department of Pediatrics, University of California San Diego, La Jolla, CA, United States of America., Winslow RL; Institute for Computational Medicine, Johns Hopkins University, Baltimore, MD, United States of America.; Roux Institute at Northeastern University, Portland, ME, United States of America.; Department of Bioengineering, Northeastern University, Boston, MA, United States of America.

Publikováno v: PloS one [PLoS One] 2023 Aug 04; Vol. 18 (8), pp. e0289763. Date of Electronic Publication: 2023 Aug 04 (Print Publication: 2023).

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Akademický článek

SWIFT: A deep learning approach to prediction of hypoxemic events in critically-Ill patients using SpO2 waveform prediction.

Autor: Annapragada AV; Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America., Greenstein JL; Institute for Computational Medicine, The Johns Hopkins University, Baltimore, Maryland, United States of America., Bose SN; Institute for Computational Medicine, The Johns Hopkins University, Baltimore, Maryland, United States of America.; Department of Electrical and Computer Engineering, The Johns Hopkins University, Baltimore, Maryland, United States of America., Winters BD; Anesthesiology and Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America., Sarma SV; Institute for Computational Medicine, The Johns Hopkins University, Baltimore, Maryland, United States of America.; Department of Biomedical Engineering, The Johns Hopkins University School of Medicine & Whiting School of Engineering, Baltimore, Maryland, United States of America., Winslow RL; Institute for Computational Medicine, The Johns Hopkins University, Baltimore, Maryland, United States of America.; Department of Biomedical Engineering, The Johns Hopkins University School of Medicine & Whiting School of Engineering, Baltimore, Maryland, United States of America.

Publikováno v: PLoS computational biology [PLoS Comput Biol] 2021 Dec 21; Vol. 17 (12), pp. e1009712. Date of Electronic Publication: 2021 Dec 21 (Print Publication: 2021).

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Akademický článek

Early Prediction of Multiple Organ Dysfunction in the Pediatric Intensive Care Unit.

Autor: Bose SN; Institute for Computational Medicine, The Johns Hopkins University, Baltimore, MD, United States.; Department of Electrical and Computer Engineering, The Johns Hopkins University, Baltimore, MD, United States., Greenstein JL; Institute for Computational Medicine, The Johns Hopkins University, Baltimore, MD, United States., Fackler JC; Department of Anesthesiology and Critical Care Medicine, The Johns Hopkins University School of Medicine, Baltimore, MD, United States., Sarma SV; Institute for Computational Medicine, The Johns Hopkins University, Baltimore, MD, United States.; Department of Biomedical Engineering, The Johns Hopkins University, Baltimore, MD, United States., Winslow RL; Institute for Computational Medicine, The Johns Hopkins University, Baltimore, MD, United States.; Department of Biomedical Engineering, The Johns Hopkins University, Baltimore, MD, United States., Bembea MM; Department of Anesthesiology and Critical Care Medicine, The Johns Hopkins University School of Medicine, Baltimore, MD, United States.

Publikováno v: Frontiers in pediatrics [Front Pediatr] 2021 Aug 16; Vol. 9, pp. 711104. Date of Electronic Publication: 2021 Aug 16 (Print Publication: 2021).

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