// App-Quantinova.ai

PB1366 : Artificial Neural Network for Prediction of Hemorrhagic Severity in Patients with Immune Thrombocytopenia Purpura

Researchers

Presenter

  • L.P. de Carvalho

Principal Investigators

  • M.P. Colella

  • J.M. Annichino-Bizzacchi

  • T.D. Martins

Medical Centers

  • Federal University of São Paulo, Department of Exact and Earth Sciences, Diadema, Brazil

  • University of Campinas, Hematology and Hemotherapy Center, Campinas, Brazil

  • University of Campinas, Hematology and Hemotherapy Center, Campinas, Brazil

  • Universidade Federal de São Paulo, Departamento de Engenharia Química, Diadema, Brazil

Locations

  • Brazil

Companies

  • N/A

Study Components

Therapeutic Area

  • Pulmonary/Respiratory Diseases

  • Cardiovascular (CVS)

  • Blood/haematological Diseases

  • Endocrine/metabolic Diseases (ME)

  • Central Nervous System (CNS)

  • Infectious Diseases (ID)

  • Autoimmune (AI)

Disease

  • Myocardial infarction

  • Immune thrombocytopenia

  • Venous thrombosis

  • Thrombocytopenia

  • Dyslipidemia

  • Hypertension

  • Hepatitis B

  • Hepatitis C

  • Diabetes

  • Stroke

  • Lupus

Biomarkers

  • N/A

Drug/Treatment

  • N/A

Outcome

  • N/A


Study Design

  • N/A

Phase

  • NA

Study Id's

  • N/A

Sponsors

  • N/A

Result

  • N/A