Background: The incidence of breast cancer (BC) in LMICs has increased by more than 20% within the last decade. In areas such as Latin America (LA), addressing BC at national levels evoke discussions surrounding fragmented care, limited resources, and regulatory barriers. Precision Medicine (PM), specifically companion diagnostics (CDx), links disease diagnosis and treatment for better patient outcomes.
View Article and Find Full Text PDFBackground: Identifying effective methods for safeguarding the efficient functioning of the healthcare system contributes significantly towards establishing a successful healthcare organization. Consequently, quality management programs are currently being implemented in healthcare as a vital strategy for patient care. Quality management encompasses protocols and guidelines in decision-making and in the evaluation of processes and treatment flowcharts, data analysis and health indicators, and addresses improvement in the interaction between different health professionals.
View Article and Find Full Text PDFBackground: The importance of classifying cancer patients into high- or low-risk groups has led many research teams, from the biomedical and bioinformatics fields, to study the application of machine learning (ML) algorithms. The International Society of Geriatric Oncology recommends the use of the comprehensive geriatric assessment (CGA), a multidisciplinary tool to evaluate health domains, for the follow-up of elderly cancer patients. However, no applications of ML have been proposed using CGA to classify elderly cancer patients.
View Article and Find Full Text PDFObjective: Cervical cancer is a global public health challenge. Since 1999, platin based chemoradiation (CRT) is the standard treatment for those patients with locally advanced disease. However, this population still has a dismal prognosis and, alternatives approaches such as adjuvant chemotherapy are controversial, especially because of increased toxicity.
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