Educational content on VJHemOnc is intended for healthcare professionals only. By visiting this website and accessing this information you confirm that you are a healthcare professional.

The Non-Malignant Channel on VJHemOnc is an independent medical education platform, supported with funding from Agios (Gold). Supporters have no influence on the production of content. The levels of sponsorship listed are reflective of the amount of funding given.

The Sickle Cell Disease Channel on VJHemOnc is an independent medical education platform, supported with funding from Agios (Gold). Supporters have no influence on the production of content. The levels of sponsorship listed are reflective of the amount of funding given.

Share this video  

ASH 2024 | Enhanced AI-driven prediction of VOCs in patients with SCD

Sanne Lugthart, MD, PhD, University Hospitals of Bristol and Weston NHS Foundation Trust, Bristol, UK, comments on the potential of artificial intelligence (AI) in predicting vaso-occlusive crises (VOCs) in sickle cell disease (SCD), highlighting the accuracy of two models which incorporate data from digital remote monitoring of patients. Dr Lughthart highlights that these enhanced AI-driven prediction models present a promising approach to preventing hospitalizations. This interview took place at the 66th ASH Annual Meeting and Exposition, held in San Diego, CA.

These works are owned by Magdalen Medical Publishing (MMP) and are protected by copyright laws and treaties around the world. All rights are reserved.