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Adaptive Treatment of Metastatic Prostate Cancer Using Generative Artificial Intelligence.
Clin Med Insights Oncol
January 2025
Ted Rogers School of Information Technology Management, Toronto Metropolitan University, Toronto, ON, Canada.
Despite the expanding therapeutic options available to cancer patients, therapeutic resistance, disease recurrence, and metastasis persist as hallmark challenges in the treatment of cancer. The rise to prominence of generative artificial intelligence (GenAI) in many realms of human activities is compelling the consideration of its capabilities as a potential lever to advance the development of effective cancer treatments. This article presents a hypothetical case study on the application of generative pre-trained transformers (GPTs) to the treatment of metastatic prostate cancer (mPC).
View Article and Find Full Text PDFSurgical outcomes and etiological considerations in intermittent exotropia: a systematic narrative review.
Strabismus
January 2025
Departament d'Òptica i Optometria (DOO), Facultat d'Òptica i Optometria de Terrassa (FOOT), Universitat Politècnica de Catalunya · BarcelonaTech (UPC), Terrassa, Spain.
: Is Intermittent Exotropia being conceived and treated as an ocular-mechanical problem? Is etiology taken into account when planning for intervention? Which success criteria are used? Are they based on alignment or do they also consider visual function? In order to answer these questions, a review of studies assessing the outcomes of strabismus surgery in Intermittent Exotropia has been conducted. : published between January 2003 and December 2023 were included. The database searched was MEDLINE following a predefined protocol.
View Article and Find Full Text PDFContrast-Enhanced Mammography: A Literature Review of Clinical Uses for Cancer Diagnosis and Surgical Oncology.
Cancers (Basel)
December 2024
Department of Medical Imaging and Intervention, Chang Gung Memorial Hospital, Medical College of Chang Gung University, Taoyuan 33382, Taiwan.
Contrast-enhanced mammography (CEM) uses intermittent dual-energy (low- and high-energy) exposures to produce low-energy mammograms and recombine enhanced images after the administration of iodized contrast medium, which provides more detailed information to detect breast cancers by using the features of morphology and abnormal uptake. In this article, we reviewed the literature to clarify the clinical applications of CEM, including (1) the fundamentals of CEM: the technique, radiation exposure, and image interpretation; (2) its clinical uses for cancer diagnosis, including problem-solving, palpable mass, suspicious microcalcification, architecture distortion, screening, and CEM-guided biopsy; and (3) the concerns of surgical oncology in pre-operative and neoadjuvant chemotherapy assessments. CEM undoubtedly plays an important role in clinical practice.
View Article and Find Full Text PDFPrevalence of work-related musculoskeletal disorder and ergonomic risk practice among medical laboratory professionals at health facilities of eastern Ethiopia.
Front Public Health
January 2025
School of Medical Laboratory Sciences, College of Health and Medical Sciences, Haramaya University, Harar, Ethiopia.
Background: Musculoskeletal disorders represent a significant occupational problem due to poor ergonomic workstations among medical laboratory professionals; however, there is limited information regarding ergonomic-related musculoskeletal disorders among laboratory personnel in Ethiopia, particularly in eastern Ethiopia.
Methods: An institutional-based cross-sectional study design was implemented among 241 Medical Laboratory Professionals (MLPs) from December 20, 2023, to January 20, 2024. A standardized questionnaire adapted from the Nordic musculoskeletal questionnaire and a combination of self-administered surveys and direct observational techniques was used for data collection.
EMG-based wake gestures eliminate false activations during out-of-set activities of daily living: An online myoelectric control study.
J Neural Eng
January 2025
Electrical and Computer Engineering Department, University of New Brunswick, 3 Bailey Dr., Fredericton, New Brunswick, E3B5A3, CANADA.
Objective: While myoelectric control has been commercialized in prosthetics for decades, its adoption for more general human-machine interaction has been slow. Although high accuracies can be achieved across many gestures, current control approaches are prone to false activations in real-world conditions. This is because the same electromyogram (EMG) signals generated during the elicitation of gestures are also naturally activated when performing activities of daily living (ADLs), such as when driving to work or while typing on a keyboard.
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