AIMC Topic: Hemophilia A

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Applying artificial intelligence to uncover the genetic landscape of coagulation factors.

Journal of thrombosis and haemostasis : JTH Jan 9, 2025
Artificial intelligence (AI) is rapidly advancing our ability to identify and interpret genetic variants associated with coagulation factor deficiencies. This review introduces AI, with a specific focus on machine learning (ML) methods, and examines ...
Phenotype Genetic Predisposition to Disease Genetic Association Studies Artificial Intelligence Machine Learning Genetic Variation Blood Coagulation Factors Hemophilia A Blood Coagulation Mutation Humans
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Leveraging domain knowledge for synthetic ultrasound image generation: a novel approach to rare disease AI detection.

International journal of computer assisted radiology and surgery Dec 29, 2024
PURPOSE: This study explores the use of deep generative models to create synthetic ultrasound images for the detection of hemarthrosis in hemophilia patients. Addressing the challenge of sparse datasets in rare disease diagnostics, the study aims to ...
Artificial Intelligence Image Interpretation, Computer-Assisted Humans Hemarthrosis Neural Networks, Computer Hemophilia A Ultrasonography Rare Diseases
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Prediction of inhibitor development in previously untreated and minimally treated children with severe and moderately severe hemophilia A using a machine-learning network.

Journal of thrombosis and haemostasis : JTH May 27, 2024
BACKGROUND: Prediction of inhibitor development in patients with hemophilia A (HA) remains a challenge.
Hemophilia A Factor VIII Predictive Value of Tests Blood Coagulation Factor Inhibitors Time Factors Treatment Outcome Risk Factors Male Infant Severity of Illness Index Risk Assessment Machine Learning Biomarkers Reproducibility of Results Humans
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Application of machine learning approaches for predicting hemophilia A severity.

Journal of thrombosis and haemostasis : JTH May 7, 2024
BACKGROUND: Hemophilia A (HA) is an X-linked congenital bleeding disorder, which leads to deficiency of clotting factor (F) VIII. It mostly affects males, and females are considered carriers. However, it is now recognized that variants of F8 in femal...
Male Severity of Illness Index Genetic Predisposition to Disease Female Reproducibility of Results Predictive Value of Tests Hemophilia A Factor VIII Genotype Databases, Genetic Machine Learning Phenotype Humans
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How good does ChatGPT answer frequently asked questions about haemophilia?

Haemophilia : the official journal of the World Federation of Hemophilia Sep 11, 2023
Humans Artificial Intelligence Hemophilia A
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How can artificial intelligence help rehabilitation programs for people with hemophilia in the coming decades?

European journal of haematology Jul 21, 2023
Humans Artificial Intelligence Hemophilia A
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Design, development and usability of an educational AI chatbot for People with Haemophilia in Senegal.

Haemophilia : the official journal of the World Federation of Hemophilia Jun 22, 2023
INTRODUCTION: Gaps in the disease knowledge of People with Haemophilia (PWH) in Senegal are important barriers to the effective management of haemophilia. Digital health systems for chronic diseases in low- and middle-income countries are suggested t...
Senegal Hemophilia A Reproducibility of Results Educational Status Humans Artificial Intelligence
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The current role of artificial intelligence in hemophilia.

Expert review of hematology Aug 22, 2022
INTRODUCTION: The utilization of artificial intelligence (AI) in hemophilia is still in its early phases.
Humans Artificial Intelligence Robotics Factor V Hemophilia A Thrombin
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Deep compartment models: A deep learning approach for the reliable prediction of time-series data in pharmacokinetic modeling.

CPT: pharmacometrics & systems pharmacology May 27, 2022
Nonlinear mixed effect (NLME) models are the gold standard for the analysis of patient response following drug exposure. However, these types of models are complex and time-consuming to develop. There is great interest in the adoption of machine-lear...
Time Factors Computer Simulation Humans Deep Learning Machine Learning Hemophilia A
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Machine learning method using position-specific mutation based classification outperforms one hot coding for disease severity prediction in haemophilia 'A'.

Genomics Sep 11, 2020
Haemophilia is an X-linked genetic disorder in which A and B types are the most common that occur due to absence or lack of protein factors VIII and IX, respectively. Severity of the disease depends on mutation. Available Machine Learning (ML) method...
Hemophilia A Severity of Illness Index Humans Mutation Machine Learning
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