Background Machine learning (ML) and deep learning (DL) methods have recently
garnered a great deal of attention in the field of cancer research by making a noticeable …

Multiple myeloma (MM) is one of the most common hematological malignancies affecting the
bone marrow. Radiomics analysis has been employed in the literature in an attempt to …

Recent innovative strategies have dramatically redefined the therapeutic landscape for
treating multiple myeloma patients. In particular, the development and application of …

Purpose Multiple myeloma (MM), the second most hematological malignancy, have been
studied extensively in the prognosis of the clinical parameters, however there are only a few …

FDG-PET/CT is a standardized imaging technique that has reached a great importance in
the management of patients affected by Multiple Myeloma. It is proved, in fact, that it allows a …

Radiomics and artificial intelligence have the potential to become a valuable tool in clinical
applications. Frequently, radiomic analyses through machine learning methods present …

Minimal residual disease (MRD) assessment through blood component sampling by liquid
biopsies (LBs) is increasingly being investigated in myeloid malignancies. Blood …

Multiple myeloma is a complex and challenging type of blood cancer that affects plasma
cells in the bone marrow. In recent years, the development of advanced research …

Artificial intelligence (AI) has attracted increasing attention as a tool for the detection and
management of several medical conditions. Multiple myeloma (MM), a malignancy …

Radiomics features extracted from medical images have been shown to correlate with tumor
histological biomarkers and patient clinical information. An accurate selection of reliable …