Results 81 to 90 of about 3,265,963 (321)

Financial Distress and its Determinants in Rheumatoid Arthritis

Arthritis Care &Research, Accepted Article.
Objective To quantify the degree of financial distress and identify its determinants in adults with rheumatoid arthritis (RA) given the frequent chronic use of expensive disease modifying therapies. Methods We identified adults enrolled in the FORWARD databank with either RA or non‐inflammatory musculoskeletal disease (NIMSKD) completing the Functional
Amber Brown Keebler, Yunju Im, Sofia Pedro, Ted R. Mikuls, Edward S. Peters, Kaleb Michaud   +5 more
wiley   +1 more source

Machine learning, statistical learning and the future of biological research in psychiatry

Psychological Medicine, 2016
Psychiatric research has entered the age of ‘Big Data’. Datasets now routinely involve thousands of heterogeneous variables, including clinical, neuroimaging, genomic, proteomic, transcriptomic and other ‘omic’ measures. The analysis of these datasets is
R. Iniesta, D. Ståhl, P. McGuffin
semanticscholar   +1 more source

Digital behavioral therapy improves outcome in patients with axial spondyloarthritis and persistent pain: a randomized controlled trial

Arthritis Care &Research, Accepted Article.
Objectives Axial spondyloarthritis (axSpA) is often associated with persistent pain despite effective anti‐inflammatory treatment. Digital health applications (DHA) provide innovative approaches to address multidimensional aspects of persistent pain through psychological and behavioral strategies. The aim of this study was to assess the impact of a DHA
David Kiefer, Yade Sonkaya, Dietmar Krause, Markus Voglau, Bernhard Mintrop, Imke Redeker, Xenofon Baraliakos, Uta Kiltz   +7 more
wiley   +1 more source

A Spatially Resolved View on the Aging Substantia nigra: An Exploratory Proteomic Study

Advanced Biology, EarlyView.
Although aging is the most important risk factor for several neurodegenerative diseases, the molecular effects of physiological aging are still understudied. By applying spatially‐resolved proteomic analyses of the human substantia nigra pars compacta, alterations in vesicular trafficking and mitochondrial proteins are observed, as well as reduced ...
Britta Eggers, Maximilian Hausherr, Michel Lim, Karin Schork, Bilhan Karacora, Robin Grugel, Martin Eisenacher, Isabel Gil Aldea, Peter Riederer, Manfred Gerlach, Katrin Marcus   +10 more
wiley   +1 more source

Psychiatry outside the framework of empiricism

Nigerian Postgraduate Medical Journal, 2017
Science is interested in whatever that is empirical and objective. Any claim that cannot be objectively demonstrated has no place in science, because the subject does not deviate from the role, which it has set out to play in the life of mankind ...
Celestine Okorome Mume
doaj   +1 more source

An exploratory investigation of antibodies to NMDA-type glutamate receptor subunits in serum and cerebrospinal fluid among psychiatric patients with anti-thyroid antibodies

Heliyon, 2020
Introduction: Hashimoto's thyroiditis, which is characterized by anti-thyroid antibodies such as the anti-thyroglobulin (Tg) antibody and anti-thyroid peroxidase (TPO) antibody, is one of the autoimmune diseases associated with psychiatric illnesses.
Tomoyuki Saito, Yuhei Chiba, Kie Abe, Saki Hattori, Omi Katsuse, Yukitoshi Takahashi, Akira Suda   +6 more
doaj   +1 more source

Biomaterial Strategies for Targeted Intracellular Delivery to Phagocytes

Advanced Functional Materials, EarlyView.
Phagocytes are essential to a functional immune system, and their behavior defines disease outcomes. Engineered particles offer a strategic opportunity to target phagocytes, harnessing inflammatory modulation in disease. By tuning features like size, shape, and surface, these systems can modulate immune responses and improve targeted treatment for a ...
Kaitlyn E. Woodworth, Neal I. Callaghan, Locke Davenport Huyer   +2 more
wiley   +1 more source

Evaluating depression with multimodal wristband-type wearable device: screening and assessing patient severity utilizing machine-learning

Heliyon, 2020
Objective: We aimed to develop a machine learning algorithm to screen for depression and assess severity based on data from wearable devices. Methods: We used a wearable device that calculates steps, energy expenditure, body movement, sleep time, heart ...
Yuuki Tazawa, Kuo-ching Liang, Michitaka Yoshimura, Momoko Kitazawa, Yuriko Kaise, Akihiro Takamiya, Aiko Kishi, Toshiro Horigome, Yasue Mitsukura, Masaru Mimura, Taishiro Kishimoto   +10 more
doaj   +1 more source

At‐Home Early Diagnosis of Mastitis: Calibration‐Free Analysis of Sodium to Potassium Ratio in Breast Milk

Advanced Functional Materials, EarlyView.
MAMAWEL is introduced as the first calibration‐free potentiometric sensor for at‐home mastitis diagnosis. By measuring the sodium‐to‐potassium ratio in breast milk, the device reliably differentiates between healthy and mastitis‐affected samples with less than 10% error.
Ali Soleimani, Farbod Amirghasemi, Melissa Banks, Abdulrahman Al‐Shami, Sina Khazaee Nejad, Abdalrhman Sheer, Clare Dominique Sanchez, Haozheng Ma, Daniel Vargas Ramos, Maral P.S. Mousavi   +9 more
wiley   +1 more source

Tualang honey supplementation as cognitive enhancer in patients with schizophrenia

Heliyon, 2020
Introduction: Schizophrenia is a chronic mental illness with clusters of symptoms, including cognitive impairment. This study aimed to explore the effect of Tualang Honey (TH) on cognitive domains, especially as it pertained to the verbal memory of ...
Rosliza Yahaya, Mohd Nizam Zahary, Zahiruddin Othman, Rusli Ismail, Nik Ahmad Shaiffudin Nik Him, Aniza Abd Aziz, Rahima Dahlan, Azizul Fadzli Jusoh   +7 more
doaj   +1 more source