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http://dx.doi.org/10.5765/jkacap.230075 | DOI Listing |
Clin Nutr ESPEN
September 2025
Department of Pediatrics, School of Medicine, Arak University of Medical Sciences, Arak, Iran.
Background And Aims: The increasing number of non-communicable diseases, such diabetes and obesity, makes it even more important to have accurate and personalized dietary solutions. Based on a lot of research, standard diet advice may not be accurate enough to meet individual health demands. The Intelligent Diet Recommendation System is an artificial intelligence-powered platform that gives personalized dietary recommendations based on extensive body composition data and cultural eating habits.
View Article and Find Full Text PDFmedRxiv
January 2025
Broad Institute of MIT and Harvard, Boston, MA, USA.
Psychiatric disorders display high levels of comorbidity and genetic overlap. Genomic methods have shown that even for schizophrenia and bipolar disorder, two disorders long-thought to be etiologically distinct, the majority of genetic signal is shared. Furthermore, recent cross-disorder analyses have uncovered over a hundred pleiotropic loci shared across eight disorders.
View Article and Find Full Text PDFFront Endocrinol (Lausanne)
April 2025
Department of Obstetrics and Gynecology, The Third Clinical Institute Affiliated of Wenzhou Medical University, The Third Affiliated of Shanghai University, Wenzhou People's Hospital, Wenzhou Maternal and Child Health Care Hospital, Wenzhou, China.
Gestational diabetes mellitus (GDM) is a common pregnancy complication closely associated with maternal oxidative and antioxidant imbalance, known as oxidative stress. Environmental and dietary exposure plays an important role in inducing oxidative stress during pregnancy. This review aims to provide an in-depth analysis of the role of oxidative stress induced by environmental and dietary exposure in GDM while incorporating current research frontiers.
View Article and Find Full Text PDFSci Rep
April 2025
School of Computing Science and Engineering, VIT Bhopal University, Bhopal, Madhya Pradesh, India.
Classical approaches to diagnosis frequently rely on self-reported symptoms or clinician observations, which can make it difficult to examine mental health illnesses due to their subjective and complicated nature. In this work, we offer an innovative methodology for predicting mental illnesses such as epilepsy, sleep disorders, bipolar disorder, eating disorders, and depression using a multimodal deep learning framework that integrates neurocardiac data fusion. The proposed framework combines MEG, EEG, and ECG signals to create a more comprehensive understanding of brain and cardiac function in individuals with mental disorders.
View Article and Find Full Text PDFSante Ment Que
December 2024
Université du Québec à Montréal, Québec, Canada; Centre intégré universitaire de santé et de services sociaux du Nord-de-l'Île-de-Montréal, Québec, Canada.
Background Researcher and psychologist Kieron Philip O'Connor (1950-2019) pioneered the cognitive and behavioural approach at the Institut universitaire en santé mentale de Montréal (IUSMM). It was there that he began a career as a clinical researcher studying Tourette's syndrome (TS) and obsessive-compulsive and related disorder (OCD). At the time, apart from some behavioural approaches, little cognitive intervention was available to treat chronic tics and obsessive-compulsive disorder.
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