Publications by authors named "M Masiero"
Motivation: Batch effects (BEs) are a predominant source of noise in omics data and often mask real biological signals. BEs remain common in existing datasets. Current methods for BE correction mostly rely on specific assumptions or complex models, and may not detect and adjust BEs adequately, impacting downstream analysis and discovery power.
View Article and Find Full Text PDFPurpose: Caregiving is a crucial but frequently overlooked part of cancer care, as well as the main emotions experienced by caregivers during that journey. This qualitative study aimed to explore the emotional landscape of informal caregivers in supporting breast cancer survivors (BCs) living with chronic pain (CP).
Methods: We conducted 3 focus groups with informal caregivers of BCs with CP.
Purpose: Adherence to oral anticancer treatments (OATs) is a critical issue in metastatic breast cancer (MBC) to enhance survivorship and quality of life. The study is aimed to analyze the main themes and attributes related to OATs in MBC patients. This research is part of a project titled "Enhancing Therapy Adherence Among Metastatic Breast Cancer Patients" designed to produce a predictive model of non-adherence, a decision support system, and guidelines to improve adherence to OATs.
View Article and Find Full Text PDFObjectives: Recognizing the limitations of the current pain therapies, the study aimed to explore the unique needs and obstacles related to pain management in Breast Cancer Survivors (BCs) with Chronic Pain (CP).
Methods: 4 focus groups were conducted involving 17 BCs with CP (Mage = 51, SD = 7.99) with varying pain intensities.