Machine learning applications and challenges in graft-versus-host disease: a scoping review
Ali Hassan Mushtaq,
Areez Shafqat,
Haneen T. Salah
et al.
Abstract:Purpose of review
This review delves into the potential of artificial intelligence (AI), particularly machine learning (ML), in enhancing graft-versus-host disease (GVHD) risk assessment, diagnosis, and personalized treatment.
Recent findings
Recent studies have demonstrated the superiority of ML algorithms over traditional multivariate statistical models in donor selection for allogeneic hematopoietic stem cell transplantation. ML has recently enabled … Show more
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