Data-Driven Modeling and Control of Complex Dynamical Systems Arising in Renal Anemia Therapy [PDF]
arXiv, 2021 This project is based on a mathematical model of erythropoiesis for anemia, which consists of five hyperbolic population equations describing the production of red blood cells under treatment with epoetin-alfa (EPO). Extended dynamic mode decomposition (EDMD) is utilized to approximate the non-linear dynamical systems by linear ones.
arxiv
Revista Paulista de Pediatria, 2018 Objective: To describe the socioeconomic and nutritional characteristics of children and adolescents with sickle cell anemia. Data sources: The present study is a systematic literature review based on published scientific articles.
Amanda Cristina da Silva de Jesus +3 more
semanticscholar +1 more source
Anomaly-aware multiple instance learning for rare anemia disorder classification [PDF]
arXiv, 2022 Deep learning-based classification of rare anemia disorders is challenged by the lack of training data and instance-level annotations. Multiple Instance Learning (MIL) has shown to be an effective solution, yet it suffers from low accuracy and limited explainability.
arxiv
Barriers to Pediatric Sickle Cell Disease Guideline Recommendations. [PDF]
, 2019 National guidelines recommend that providers counsel all patients with sickle cell anemia about hydroxyurea (HU) therapy and screen children with sickle cell anemia annually for the risk of stroke with transcranial Doppler (TCD).
Bardach, Naomi S +6 more
core
Appraisal of patient-reported outcome measures in analogous diseases and recommendations for use in phase II and III clinical trials of pyruvate kinase deficiency [PDF]
, 2018 Purpose: Pyruvate kinase deficiency (PKD) is a rare disease and understanding of its epidemiology and associated burden remains limited. With no current curative therapy, clinical manifestations can be life threatening, clinically managed by maintaining ...
Ionova, Tatyana +3 more
core +1 more source
Flow-induced segregation and dynamics of red blood cells in sickle cell disease [PDF]
Phys. Rev. Fluids 5, 053101 (2020), 2019 Blood flow in sickle cell disease (SCD) can substantially differ from normal blood flow due to significant alterations in the physical properties of the red blood cells (RBCs). Chronic complications, such as inflammation of the endothelial cells lining blood vessel walls, are associated with SCD, for reasons that are unclear.
arxiv +1 more source
The Evolving Pharmacotherapeutic Landscape for the Treatment of Sickle Cell Disease. [PDF]
, 2020 Sickle cell disease (SCD) is an extremely heterogeneous disease that has been associated with global morbidity and early mortality. More effective and inexpensive therapies are needed.
Ballas, Samir K
core +1 more source
Novel use Of Hydroxyurea in an African Region with Malaria (NOHARM): a trial for children with sickle cell anemia [PDF]
, 2017 Hydroxyurea treatment is recommended for children with sickle cell anemia (SCA) living in high-resource malaria-free regions, but its safety and efficacy in malaria-endemic sub-Saharan Africa, where the greatest sickle-cell burden exists, remain unknown.
Hodges, James S. +8 more
core +2 more sources
The clinical epidemiology of sickle cell anemia In Africa
American journal of hematology/oncology, 2017 Sickle cell anemia (SCA) is the commonest severe monogenic disorders of humans. The disease has been highly characterized in high‐income countries but not in sub‐Saharan Africa where SCA is most prevalent. We conducted a retrospective cohort study of all
A. Macharia +16 more
semanticscholar +1 more source
Improving Sickle Cell Disease Classification: A Fusion of Conventional Classifiers, Segmented Images, and Convolutional Neural Networks [PDF]
Encontro Nacional de Intelig\^encia Artificial e Computacional
(ENIAC) 2023Sickle cell anemia, which is characterized by abnormal erythrocyte morphology, can be detected using microscopic images. Computational techniques in medicine enhance the diagnosis and treatment efficiency. However, many computational techniques, particularly those based on Convolutional Neural Networks (CNNs), require high resources and time for ...
arxiv +1 more source