AIMC Journal:
Blood neoplasia

Showing 1 to 2 of 2 articles

Artificial intelligence-based prognostic models in acute myeloid leukemia: systematic review and meta-analysis.

Blood neoplasia
Machine learning and deep learning tools have been proposed to improve survival prediction in acute myeloid leukemia (AML), but comparative benchmarks remain unclear. PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) 2020 se...

Predictors of sensitivity to immune therapies in classic Hodgkin lymphoma.

Blood neoplasia
Immune checkpoint blockade, particularly programmed cell death protein 1 inhibition, has redefined the management of classic Hodgkin lymphoma (cHL), achieving unprecedented efficacy in relapsed/refractory settings. Yet, durable benefit is not univers...