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Exploring Molecular Genetics Research on Obesity in Malaysia: Protocol for a Scoping Review.
JMIR Res Protoc
December 2024
Endocrine and Metabolic Unit, Nutrition, Metabolism and Cardiovascular Research Centre, Institute for Medical Research, National Institutes of Health, Ministry of Health Malaysia, Selangor, Malaysia.
Background: Obesity presents a growing challenge to public health, and its intricate association with genetics continues to be a compelling field of study. In countries such as Malaysia, where diverse genetic backgrounds converge, exploring the molecular genetics of obesity is even more imperative.
Objective: This scoping review aimed to explore the literature on molecular genetics of obesity in Malaysia.
Applying AI to Structured Real-World Data for Pharmacovigilance Purposes: Scoping Review.
J Med Internet Res
December 2024
Laboratoire d'Informatique Médicale et d'Ingénierie des Connaissances en e-Santé - LIMICS, Inserm, Université Sorbonne Paris-Nord, Sorbonne Université, Paris, France.
Background: Artificial intelligence (AI) applied to real-world data (RWD; eg, electronic health care records) has been identified as a potentially promising technical paradigm for the pharmacovigilance field. There are several instances of AI approaches applied to RWD; however, most studies focus on unstructured RWD (conducting natural language processing on various data sources, eg, clinical notes, social media, and blogs). Hence, it is essential to investigate how AI is currently applied to structured RWD in pharmacovigilance and how new approaches could enrich the existing methodology.
View Article and Find Full Text PDFEchocardiographic classification of dogs with aortic stenosis: potential utility of a novel staging system.
J Vet Cardiol
December 2024
Langford Vets Small Animal Referral Hospital, University of Bristol, Langford, Bristol, BS40 5DU, United Kingdom; Eastcott Referrals, Edison Park, Swindon, SN3 3FR, United Kingdom.
Introduction: Severity of aortic stenosis (AS) in humans is classified using a staging system based on two-dimensional echocardiographic changes, which considers the extent of global cardiac damage. Currently, classification of canine AS is based on trans-aortic pressure gradient (PG) alone. This study aimed to retrospectively classify dogs with AS based on an adapted human staging system, exploring feasibility of classification and the association between stage and features such as PG and clinical signs.
View Article and Find Full Text PDFExploring machine learning tools in a retrospective case-study of patients with metastatic non-small cell lung cancer treated with first-line immunotherapy: A feasibility single-centre experience.
Lung Cancer
December 2024
Università Vita-Salute San Raffaele, Milan, Italy; Department of Medical Oncology, IRCCS Ospedale San Raffaele, Milan, Italy.
Background: Artificial intelligence (AI) models are emerging as promising tools to identify predictive features among data coming from health records. Their application in clinical routine is still challenging, due to technical limits and to explainability issues in this specific setting. Response to standard first-line immunotherapy (ICI) in metastatic Non-Small-Cell Lung Cancer (NSCLC) is an interesting population for machine learning (ML), since up to 30% of patients do not benefit.
View Article and Find Full Text PDFCMV IgG in the blood is not associated with hepatitis but correlates with poor outcomes in immunotherapy treated melanoma patients.
Cancer Immunol Immunother
January 2025
Department of Dermatology and National Center for Tumor Diseases (NCT), Medical Faculty Heidelberg, NCT Heidelberg, a partnership between DKFZ and University Hospital Heidelberg, Heidelberg University, Heidelberg, Germany.
Cytomegalovirus (CMV) infection or reactivation in immune-compromised individuals can lead to a wide range of severe complications including hepatitis. However, its relation with immune checkpoint inhibitors (ICIs) induced hepatitis (ICI-hepatitis) and tumor responses in advanced melanoma patients remains unclear. Hundred and ninety metastatic cutaneous melanoma patients (mCM) who received ICI treatment, with CMV IgG or IgM information available at baseline, were included in the study (Cohort 1).
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