Back to search

Article

Machine Learning-Based Identification of Sickle Cell Disease Subphenotypes in Clinical Trial Data

2025-08-11

Abstract excerpt

<title>Abstract</title> <p>Sickle Cell Disease (SCD) is a rare autosomal recessive disorder caused by a point mutation producing abnormal hemoglobin S, leading to deformed red blood cells and a wide range of clinical manifestations, including pain crises, organ damage, and an increased risk of infection. These devastating complications often result in significant morbidity and early mortality, presenting signific...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
f97ddf16-7b3a-5bcc-bc0f-5e66c0a521d8
DOI
10.21203/rs.3.rs-6770839/v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Machine Learning-Based Identification of Sickle Cell Disease Subphenotypes in Clinical Trial DataDOI 10.21203/rs.3.rs-6770839/v1
Select a neighboring publication to make it the new centre.