Abstract
No public abstract is available from the verified source records.
Hanny Al-Samkari, Fouzia Aboobacker, Biree Andemariam, Perla Eleftheriou, Hatoon Ezzat, Dimitrios Farmakis, Shahrukh Hashmi, Shruti Kakkar, Aurelio Maggio, Antonio Piga, Alok Srivastava, Mohamed A Yassin, Hasan Abbas Zaheer, Vip Viprakasit, Khaled M Musallam
Abstract
Authors
No local reference links have been materialized yet.
Prevalence and mortality trends of hemoglobinopathies in Italy: a nationwide study
10.3324/haematol.2024.286886 · 2025
Novel therapeutic approaches in thalassemias, sickle cell disease, and other red cell disorders
10.1182/blood.2023022193 · 2024
The expanding therapeutic landscape of β-thalassaemia
10.1016/s2352-3026(26)00173-0 · 2026
Management of transfusion-dependent β-thalassaemia in the era of novel therapies: a prioritisation-based matrix for settings with limited resources
10.1016/s2352-3026(25)00320-5 · 2026
The epidemiology of thalassaemia syndromes in southeast Asia
2026
Unresolved referenced work
2023
Unresolved referenced work
2023
Unresolved referenced work
2025
Haemoglobinopathies in Europe: health & migration policy perspectives
10.1186/1750-1172-9-97 · 2014
An assessment of the continuing medical education needs of US physicians in the management of patients with beta thalassemia
10.1007/s00277-020-04246-5 · 2021
Institutions
No ROR-resolved institution is linked to this work yet.
Provenance
crossref
Confidence 100%
pubmed
Confidence 98%
unpaywall
Confidence 95%
datacite
Confidence 0%
Syrian refugees and their impact on health service delivery in the pediatric hematology/oncology clinics across Canada
10.1097/mph.0000000000001524 · 2020
The impact of migrations on the health services for rare diseases in Europe: the example of haemoglobin disorders
10.1155/2013/727905 · 2013
Clinical experience with fetal hemoglobin induction therapy in patients with β-thalassemia
10.1182/blood-2012-10-408021 · 2013
Augmentation of fetal-hemoglobin production in anemic monkeys by hydroxyurea
10.1056/nejm198404053101401 · 1984
Clinical and hematological response to hydroxyurea in a patient with Hb Lepore/beta-thalassemia
10.3109/03630269708997382 · 1997
Effect of hydroxyurea on the frequency of painful crises in sickle cell anemia
10.1056/nejm199505183322001 · 1995
Hydroxycarbamide in very young children with sickle-cell anaemia: a multicentre, randomised, controlled trial (BABY HUG)
10.1016/s0140-6736(11)60355-3 · 2011
Real-life experience with hydroxyurea in patients with sickle cell disease: results from the prospective ESCORT-HU cohort study
10.1002/ajh.26286 · 2021
Hydroxyurea-inducible SAR1 gene acts through the Giα/JNK/Jun pathway to regulate γ-globin expression
10.1182/blood-2013-10-534842 · 2014
Efficacy and safety of hydroxyurea therapy on patients with β-thalassemia: a systematic review and meta-analysis
10.3389/fmed.2024.1480831 · 2025
Efficacy and safety of mitapivat in adults with transfusion-dependent α-thalassaemia or β-thalassaemia (ENERGIZE-T): a double-blind, randomised, multicentre, placebocontrolled, phase 3 trial
10.1016/s0140-6736(26)00874-3 · 2026
A phase 3 trial of luspatercept in patients with transfusion-dependent β-thalassemia
10.1056/nejmoa1910182 · 2020
Mitapivat in adults with non-transfusion-dependent α-thalassaemia or β-thalassaemia (ENERGIZE): a phase 3, international, randomised, double-blind, placebo-controlled trial
10.1016/s0140-6736(25)00635-x · 2025
Luspatercept for the treatment of anaemia in non-transfusion-dependent β-thalassaemia (BEYOND): a phase 2, randomised, double-blind, multicentre, placebo-controlled trial
10.1016/s2352-3026(22)00208-3 · 2022
The use of hydroxyurea in the real life of MIOT network: an observational study
10.1080/14740338.2022.2064980 · 2022
Healing of leg ulcers with hydroxyurea in thalassaemia intermedia patients with associated endocrine complications
2004
Overview on practices in thalassemia intermedia management aiming for lowering complication rates across a region of endemicity: the OPTIMAL CARE study
10.1182/blood-2009-09-243154 · 2010
A randomised double-blind placebo-controlled clinical trial of oral hydroxyurea for transfusion-dependent β-thalassaemia
10.1038/s41598-022-06774-8 · 2022
Hydroxyurea for reducing blood transfusion in non-transfusion dependent beta thalassaemias
2016
Response to hydroxyurea in beta thalassemia major and intermedia: experience in western India
10.1016/j.cca.2009.06.019 · 2009
Desensitization to hydroxycarbamide following long-term treatment of thalassaemia intermedia as observed in vivo and in primary erythroid cultures from treated patients
10.1111/j.1365-2141.2010.08397.x · 2010
Treatment with hydroxycarbamide for intermedia thalassaemia: decrease of efficacy in some patients during long-term follow up
10.1111/j.1365-2141.2006.06002.x · 2006
Hydroxyurea for hemoglobin E/β-thalassemia: a systematic review and meta-analysis
10.1007/s12185-017-2307-0 · 2017
Quantification of HBG mRNA in primary erythroid cultures: prediction of the response to hydroxyurea in sickle cell and beta-thalassemia
10.1111/ejh.12204 · 2014
Therapeutic superiority and safety of combined hydroxyurea with recombinant human erythropoietin over hydroxyurea in young β-thalassemia intermedia patients
10.1111/ejh.12182 · 2013
Long-term safety and efficacy of hydroxyurea in patients with non-transfusion-dependent β-thalassemia: a comprehensive single-center experience
10.1007/s00277-021-04627-4 · 2021
Decreased transfusion needs associated with hydroxyurea therapy in Algerian patients with thalassemia major or intermedia
10.1111/j.1537-2995.2007.01399.x · 2007
The risks and benefits of long-term use of hydroxyurea in sickle cell anemia: a 17.5 year follow-up
10.1002/ajh.21699 · 2010
Safety of hydroxyurea in pregnancy: a systematic review of the literature
10.1016/j.jogc.2025.102924 · 2025
Protein degraders—from thalidomide to new PROTACs
10.1093/jb/mvad113 · 2024
Global Globin Network consensus paper: classification and stratified roadmaps for improved thalassaemia care and prevention in 32 countries
10.3390/jpm12040552 · doi-reference
The impact of in utero transfusions on perinatal outcomes in patients with alpha thalassemia major: the UCSF registry
10.1182/bloodadvances.2022007823 · doi-reference
The International Hemoglobinopathy Research Network (INHERENT): an international initiative to study the role of genetic modifiers in hemoglobinopathies
10.1002/ajh.26323 · doi-reference
Primary HBB gene mutation severity and long-term outcomes in a global cohort of β-thalassaemia
10.1111/bjh.17897 · doi-reference
Heart and liver T2 assessment for iron overload using different software programs
10.1007/s00330-011-2208-1 · doi-reference
Ultrafast magnetic resonance imaging for iron quantification in thalassemia participants in the developing world: the TIC-TOC study (Thailand and UK International Collaboration in Thalassaemia Optimising Ultrafast CMR)
10.1161/circulationaha.116.022803 · doi-reference
Intersite validations of the pixel-wise method for liver R2* analysis in transfusion-dependent thalassemia patients: a more accessible and affordable diagnostic technology
10.5144/1658-3876.2012.91 · doi-reference
Multicenter validation of spin-density projection-assisted R2-MRI for the noninvasive measurement of liver iron concentration
10.1002/mrm.24854 · doi-reference
Sickle cell disease landscape and challenges in the EU: the ERN-EuroBloodNet perspective
10.1016/s2352-3026(23)00182-5 · doi-reference
TIF standards for haemoglobinopathy reference centres
10.3390/thalassrep13010002 · doi-reference
The influence of treatment in specialized centers on survival of patients with thalassemia major
10.1002/ajh.21398 · doi-reference
Web-based expert system with quick response code for beta-thalassemia management
10.1177/1460458221989397 · doi-reference
Enhancing survival analysis through federated learning in non-IID and scarce data scenarios
10.1016/j.compbiomed.2026.111558 · doi-reference
Comparison between an artificial neural network and logistic regression in predicting acute graft-vs-host disease after unrelated donor hematopoietic stem cell transplantation in thalassemia patients
10.1016/j.exphem.2010.02.012 · doi-reference
Construction of an exposure-pathway-phenotype in children with depression due to transfusion-dependent thalassemia: results of (un)supervised machine learning
10.1016/j.jad.2020.12.089 · doi-reference
Explainable AI framework for improved thalassemia mental health classification and feature selection
10.1371/journal.pone.0341168 · doi-reference
A predictive model for low bone mass in pediatric and adolescent patients with transfusion-dependent beta-thalassemia
10.21037/tp-2025-385 · doi-reference
Effect of genetic polymorphisms on the pharmacokinetics of deferasirox in healthy Chinese subjects and an artificial neural networks model for pharmacokinetic prediction
10.1007/s13318-020-00647-z · doi-reference
Machine learning in the prediction of liver iron concentration and iron chelation therapy adjustment
10.1080/16078454.2026.2647314 · doi-reference
Prediction of heart and liver iron overload in β-thalassemia major patients using machine learning methods
10.1080/03630269.2022.2158100 · doi-reference
Beyond diagnosis: a systematic review of artificial intelligence and deep learning in monitoring iron overload and organ toxicity in beta-thalassemia
10.1080/03630269.2026.2653733 · doi-reference
A mixed-attention network for automated interventricular septum segmentation in bright-blood myocardial T2* MRI relaxometry in thalassemia
10.1016/j.acra.2025.04.075 · doi-reference
Deep learning staging of liver iron content from multiecho MR Images
10.1002/jmri.28300 · doi-reference
MRI deep learning-based automatic segmentation of interventricular septum for black-blood myocardial T2* measurement in thalassemia
10.1002/jmri.29113 · doi-reference
Convolutional neural networks for automatic MR classification of myocardial iron overload in thalassemia major patients
10.1007/s00330-024-11245-x · doi-reference
Support vector machine-based formula for detecting suspected α thalassemia carriers: a path toward universal screening
10.3390/ijms25126446 · doi-reference
TT@MHA: a machine learning-based webpage tool for discriminating thalassemia trait from microcytic hypochromic anemia patients
10.1016/j.cca.2023.117368 · doi-reference
Interpretable machine learning models for beta thalassemia prediction: an explainable AI approach for smart healthcare 5.0
10.3389/fmed.2025.1688645 · doi-reference
Performance analysis of machine learning algorithms and screening formulae for β-thalassemia trait screening of Indian antenatal women
10.1016/j.ijmedinf.2022.104866 · doi-reference
A hybrid MCDM and machine learning framework for thalassemia risk assessment in pregnant women
10.3390/diagnostics15222833 · doi-reference
Prevalence of thalassemia in the Vietnamese population and building a clinical decision support system for prenatal screening for thalassemia
10.4084/mjhid.2023.026 · doi-reference
DeepThal: a deep learning-based framework for the large-scale prediction of the α+-thalassemia trait using red blood cell parameters
10.3390/jcm11216305 · doi-reference
Machine learning improves detection of alpha thalassemia carriers compared to clinical features
10.1038/s41598-025-20605-6 · doi-reference
Accurate diagnosis of hemoglobinopathies with machine learning based on high-throughput proteomics
10.1002/hem3.70227 · doi-reference
Multiclass classification of thalassemia types using complete blood count and HPLC data with machine learning
10.1038/s41598-025-06594-6 · doi-reference
Development and validation of an interpretable risk prediction model for the early classification of thalassemia
10.1038/s41746-025-01766-0 · doi-reference
Deep learning assisted automated assessment of thalassaemia from haemoglobin electrophoresis images
10.3390/diagnostics12102405 · doi-reference
Image analysis using machine learning for automated detection of hemoglobin H inclusions in blood smears—a method for morphologic detection of rare cells
10.4103/jpi.jpi_110_20 · doi-reference
Enhancing thalassemia gene carrier identification in non-anemic populations using artificial intelligence erythrocyte morphology analysis and machine learning
10.1111/ejh.14160 · doi-reference
Machine learning and AI-assisted red blood cell morphology analysis for effective thalassemia screening
10.1007/s00277-026-06860-1 · doi-reference