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The Role of Machine Learning Approaches in Pediatric Oncology: A Systematic Review.
Cureus
January 2025
General Practice, Wad Medani Hospital, Wad Medani, SDN.
To enhance patient outcomes in pediatric cancer, a better understanding of the medical and biological risk variables is required. With the growing amount of data accessible to research in pediatric cancer, machine learning (ML) is a form of algorithmic inference from sophisticated statistical techniques. In addition to highlighting developments and prospects in the field, the objective of this systematic study was to methodically describe the state of ML in pediatric oncology.
View Article and Find Full Text PDFMilitary influences on the evolution of clinical trials throughout history.
Clin Trials
January 2025
Department of Urology, University of Rochester Medical Center, Rochester, NY, USA.
Clinical trials of drugs, procedures, and other therapies play a crucial role in advancing medical science by evaluating the safety, efficacy, and optimal use of medical interventions. The design and implementation of these trials have evolved significantly over time, reflecting advancements in medicine, ethics, and methodology. Early historical examples, such as King Nebuchadnezzar II's and his captives' dietary experiment and Ambroise Paré's treatment of gunshot wounds, laid some foundational principles of trial design.
View Article and Find Full Text PDFUsing machine learning to predict patients with polycystic ovary disease in Chinese women.
Taiwan J Obstet Gynecol
January 2025
Graduate Institute of Applied Science and Engineering, Fu Jen Catholic University, New Taipei City, Taiwan. Electronic address:
Objective: With an estimated global frequency ranging from5 % to 21 %, polycystic ovary syndrome (PCOS) is one of the most prevalent hormonal disorders. There are many factors found to be related to PCOS. However, most of these researches used traditional methods such as multiple logistic regression (LR).
View Article and Find Full Text PDFEffects of a 4week internetdelivered mindfulnessbased cancer recovery program on anxiety, depression, and mindfulness among patients with breast cancer.
Zhong Nan Da Xue Xue Bao Yi Xue Ban
July 2024
Department of Nursing, Affiliated Hospital of Guangdong Medical University, Zhanjiang Guangdong 524001, China.
Objectives: The efficacy of monotherapy in alleviating psychological disorders like anxiety and depression among breast cancer patients is suboptimal, necessitating effective psychosocial interventions. Mindfulness-based interventions have been shown to mitigate anxiety-depression symptoms and encourage beneficial behaviors. The online mindfulness-based cancer recovery (MBCR) offers flexibility and guides practice across various settings, facilitating full patient engagement.
View Article and Find Full Text PDFImportance: Since 2001, 3.5 million United States service members deployed overseas in support of the post-9711 Global War on Terror. While healthy and fit upon deployment, veterans have experienced many complex and often unexplainable illnesses and chronic diseases, with more than 520 000 being diagnosed with cancer.
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