Work

Artificial-Intelligence Driven Quantification of Sickle Red Blood Cell Morphology As an Objective Disease Marker

Year: 2024

Type: conference-abstract

Source: Blood

DOI: 10.1182/blood-2024-199994

Authors: Lydian A. De Ligt, Eelke Brandsma, Aafke E. Gaartman, Guusje Van Gameren, Colin Blans, Martijn Veldthuis, Hanke Matlung, Bart J. Biemond, Erfan Nur, Emile Van Den Akker, Robin van Bruggen

Institutions: Sanquin, Emma Kinderziekenhuis, Amsterdam University Medical Centers

Language: English

Topic: Hemoglobinopathies and Related Disorders

Subfield: Genetics

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: closed

OpenAlex ID: W4405035348

Cites:

Cited by: 1

Related to: 10