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Stephania Niry Manantsoa on Muck Rack

Stephania Niry Manantsoa

As seen in: Nature, The Cureus Journal of Medical Science
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Articles

Distribution of Hemoglobin Variants: A Retrospective Study Based on Hemoglobin Electrophoresis Results From a University Hospital in Madagascar

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By Jocia Fenomanana, Faralahy H. Rakotonjafiniarivo, Stephania Niry Manantsoa
| The Cureus Journal of Medical Science
Specialty Please choose I'm not a medical professional. Allergy and Immunology Anatomy Anesthesiology Biostatistics Cardiac/Thoracic/Vascular Surgery Cardiology Critical Care Dentistry Dermatology Diabetes and Endocrinology Emergency Medicine Epidemiology and Public Health Family Medicine Forensic Medicine Gastroenterology General Practice Genetics Geriatrics Health Policy Hematology HIV/AIDS Hospital-based Medicine I'm not a medical professional.
Open in Who Shared View Duplicates (694) Issue with article?

International testing and refinement of AI algorithms predicting acute leukemia subtypes from routine laboratory data

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By Amin T. Turki, Yi Fan, Alberto Hernández-Sánchez, Wellington Silva, Shaun Fleming, Koray Yalcin, Catharina Van Elssen, Yazan Madanat, Magdalena Karasek, Mahmoud Aljurf, Matteo Della Porta, Alexandra Martínez-Roca, Luca Guarnera, Evangelia Antoniou, deepak mishra, Stephania Niry Manantsoa, Amir Enshaei, Felicitas Thol, Maria Teresa Voso, Jia Chen, Anthony V Moorman, María Belén Vidriales, Ahmet Bahadir Koc, Ahmet Ali Koç, Pratyush Kumar Mishra, Dirk Strumberg, Roma Fourmanov, Lukas Heine, Jens Kleesiek, Daniel Munarriz, Eduardo Rego, Rabea Mecklenbrauck, Marta Sobas, Depei Wu, Felix Nensa, Katarina Steffen, Maria M. Rivas, Ansgar T. Blum, Adeniyi Adiat, Tusneem Ahmed Elhassan, Nina R. Neuendorff, Gianluca Asti, Mridula Mokoonlall, Marisa Kometas, Merlin Engelke
| Nature Verified
Abstract Despite advances for patients with acute leukemia health disparities limit access to diagnosis and treatment. Artificial Intelligence (AI) approaches may address some disparities. We retrospectively assemble a diverse, international cohort of 6206 leukemia patients from 20 centers to test an AI tool designed to support leukemia diagnosis using standard laboratory results. Executing the pretrained algorithm results in varying accuracy metrics.
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Pediatric Hepatobiliary Lithiasis in Homozygous Sickle Cell Disease: Laboratory Insights Into Cholestasis and Hemolysis

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By Tahianasoa Randriamampianina, Faralahy H. Rakotonjafiniarivo, Stephania Niry Manantsoa, Miora Koloina Ranaivosoa
| The Cureus Journal of Medical Science
Specialty Please choose I'm not a medical professional. Allergy and Immunology Anatomy Anesthesiology Biostatistics Cardiac/Thoracic/Vascular Surgery Cardiology Critical Care Dentistry Dermatology Diabetes and Endocrinology Emergency Medicine Epidemiology and Public Health Family Medicine Forensic Medicine Gastroenterology General Practice Genetics Geriatrics Health Policy Hematology HIV/AIDS Hospital-based Medicine I'm not a medical professional.
Open in Who Shared View Duplicates (700) Issue with article?
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