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http://dx.doi.org/10.3122/jabfm.2010.03.100034 | DOI Listing |
JMIR Res Protoc
January 2025
Cystic Fibrosis Center, Department of Internal Medicine, Hospices Civils de Lyon, Research on Healthcare Performance U1290 Inserm, Lyon 1 University, Lyon, France.
Background: Diabetes affects half of the patients with cystic fibrosis who are aged 30 years and older. Diabetes progresses asymptomatically over a long period of time. Two treatment options are possible: start insulin as soon as cystic fibrosis diagnosis is made with the additional constraints of cystic fibrosis or wait while monitoring the patient's clinical condition and start insulin when diabetes symptoms develop and therefore later.
View Article and Find Full Text PDFDespite the EU legislation regulating the circulation of dietary and food supplements within the internal market, the system of state control requires improvement. For instance, due to existing regulatory gaps, certain pharmaceutical entities commit violations of regulatory requirements, such as failing to register medicinal products and selling them under the guise of dietary and/or food supplements. Conversely, physicians may recommend ordinary dietary and food supplements to patients as if they were medicinal products.
View Article and Find Full Text PDFWiad Lek
January 2025
DEPARTMENT OF CLINICAL PHARMACY AND THERAPEUTICS, FACULTY OF PHARMACY, UNIVERSITY OF KUFA, KUFA, IRAQ.
Objective: Aim: This research aims to comprehensively assess the prescribing practices of anti-hypertensive medications in a sample of Iraqi patients with diabetes. Specifically, exploring medication types and classes, adherence to clinical guidelines for managing hypertension in the context of diabetes, and factors influencing prescribing decisions.
Patients And Methods: Materials and Methods: This descriptive cross-sectional retrospective study investigates medication usage in an outpatient clinic in Najaf, Iraq, utilizing systematic sampling.
JAMA Netw Open
January 2025
Ankara University Faculty of Medicine, Department of Medical Oncology, Ankara, Turkey.
Importance: Clinical trials are vital for advancing cancer treatments and improving patient outcomes. Understanding the factors that influence participants' decision-making is critical for enhancing trial recruitment.
Objective: To evaluate the attitudes of patients with cancer and their relatives toward clinical trial participation, identifying key barriers and motivators that affect their willingness to engage in such trials.
Purpose: This brief report aims to summarize and discuss the methodologies of eXplainable Artificial Intelligence (XAI) and their potential applications in surgery.
Methods: We briefly introduce explainability methods, including global and individual explanatory features, methods for imaging data and time series, as well as similarity classification, and unraveled rules and laws.
Results: Given the increasing interest in artificial intelligence within the surgical field, we emphasize the critical importance of transparency and interpretability in the outputs of applied models.
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