Weekly Spotlight - 19.12.24

Predictive Model Offers Hope for Multiple Myeloma Patients Facing Suicide Risk

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The study explores suicide risk in multiple myeloma patients, despite treatment advances. It aims to create a model to identify those at high risk. This research seeks to provide hope and support by understanding and addressing the mental health challenges faced by these patients.


Myosteatosis, or fatty muscle infiltration, affects multiple myeloma patients frailty and mobility. This study highlights its role in predicting survival outcomes. By using CT scans, researchers found myosteatosis impacts progression-free and overall survival, offering hope for better patient management and understanding of this condition significance.


A new study uses whole-body low-dose CT scans to predict genetic risks in multiple myeloma patients. This deep learning model shows promise in identifying cytogenetic abnormalities. The approach offers hope for better diagnosis and treatment, supporting patients and families in understanding their condition.


Dr. Doris K. Hansen explored biomarkers in CAR T-cell therapy for multiple myeloma. Her analysis focused on idecabtagene vicleucel treatment outcomes. The study highlights the importance of pre-treatment biomarkers in predicting patient responses, offering hope for more personalised and effective treatment strategies in the future.

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Health Spotlight’s Multiple Myeloma is a Contentive publication in the Healthcare division