// App-Quantinova.ai

: Application of machine learning algorithms to predict loss of asthma control: A post-hoc analysis of INCONTRO study

Researchers

Presenter

  • Sofia Necander

Principal Investigators

  • Ana Teixeira

  • Vaishali Chaudhuri

  • Mahdi Hashemi

  • Robert Pálmer

  • Katarina Korsback

  • Carlos Pedrinaci

  • Ioannis Psallidas

Medical Centers

  • Clinical Development, Research and Early Development, Respiratory, Inflammation and Autoimmune (RIA), R & D BioPharmaceuticals, AstraZeneca, Gothenburg, Sweden

  • Data and Analytics, Science & Enabling Units IT, AstraZeneca, Cambridge, United Kingdom

  • BioPharma Early Biometrics and Statistical Innovation, Data Science & AI, BioPharmaceuticals R&D, AstraZeneca, Gothenburg, Sweden

  • Clinical Pharmacology and Quantitative Pharmacology, Clinical Pharmacology and Safety Sciences, R&D, AstraZeneca, South San Francisco, CA

  • Clinical Development, Research and Early Development, Respiratory, Inflammation and Autoimmune, BioPharmaceuticals R&D, AstraZeneca, Cambridge, United Kingdom

Locations

  • Sweden

  • United Kingdom

Companies

  • N/A

Study Components

Therapeutic Area

  • Autoimmune (AI)

Disease

  • Asthma

Biomarkers

  • N/A

Drug/Treatment

  • Nitric oxide

Outcome

  • N/A

Study Design

  • Cohort

Phase

  • II

Study Id's

  • N/A

Sponsors

  • N/A

Result

  • N/A

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