Results 141 to 150 of about 24,676,749 (258)

Cracking the Code: Which Ocular Symptoms Predict Dry Eye Signs? Insights From a Large International Sicca Registry

Arthritis Care &Research, EarlyView.
Objective The study aimed to identify symptom‐based predictors of dry eye disease (DED) signs in the Sjögren's International Collaborative Clinical Alliance (SICCA) cohort. Methods We performed a retrospective analysis examining 16 ocular symptoms (most graded 0–4) and artificial tear (AT) use (graded 0–3) as predictors of DED signs (abnormal ocular ...
Pragnya R. Donthineni, Chloe Shields, Rohit Muralidhar, Shreya Bhatt, Alan Baer, Robert Fox, Sara S. McCoy, Anat Galor   +7 more
wiley   +1 more source

Pain and Patient‐Reported Physical Function Did Not Differ Among Body Composition Profiles in Patients With Hip Osteoarthritis

Arthritis Care &Research, EarlyView.
Objective To explore whether higher body fat and lower lean mass are associated with greater pain and worse patient‐reported physical function in individuals with hip osteoarthritis (OA). A secondary aim was to examine whether pain and patient‐reported physical function differ according to four body composition profiles: high body fat, low lean mass ...
Alexandra Ryan, Boliang Wang, Fiona Dobson, Ben Kirk, Travis Haber, Kim L. Bennell, Shirley P. Yu, Kim Allison, Ricardo J. S. Costa, Gabrielle Knox, Michelle Hall   +10 more
wiley   +1 more source

Data capture, collection, management, and storage systems for clinical research: A scoping review protocol. [PDF]

PLoS One
Molano-González N, Moreno-Chaparro J.
europepmc   +1 more source

Real‐World Longitudinal Data on the Impact of Hydroxychloroquine Blood Level Monitoring on Lupus Outcomes: Results of a Prospective Longitudinal Cohort Study

Arthritis Care &Research, EarlyView.
Objective Hydroxychloroquine (HCQ) is a cornerstone therapy in systemic lupus erythematosus (SLE), but the weight‐based dosing does not account for clinical factors that can introduce individual variability in drug metabolism and clearance. We leveraged longitudinal data from a prospective SLE cohort to identify clinical factors that predict ...
Jay J. Patel, Fauzia Hollangel, Caroline Packee, Amita Kapoor, Brad Rovin, Nathalie Costedoat‐Chalumeau, Shivani Garg   +6 more
wiley   +1 more source

AI-assisted software development for brachytherapy seed inventory management. [PDF]

J Appl Clin Med Phys
Wang T, Beaudry J, Damato AL, Kollmeier M, Núñez DA.   +4 more
europepmc   +1 more source

Characteristics and Outcomes of Male Participants in a Multicenter Longitudinal Australian Study Cohort

Arthritis Care &Research, EarlyView.
Objective The aim of this study was to determine the differences in demographic, serologic, and clinical characteristics between male and female patients with systemic sclerosis (SSc) in an Australian cohort. Methods This was a retrospective observational study using data from the Australian Scleroderma Cohort Study.
Emily Lin, Dylan Hansen, Laura Ross, Gene‐Siew Ngian, Susanna Proudman, Gabor Major, Maryam Tabesh, Mandana Nikpour, Jennifer Walker, Lauren Host, Nava Ferdowsi, Alannah Quinlivan, Wendy Stevens, Joanne Sahhar, Diane Apostolopoulos   +14 more
wiley   +1 more source

Implementing a Version Control Platform as an Interactive Educational Framework for Bioinformatics and Artificial Intelligence in Medicine. [PDF]

J Med Signals Sens
Ani A, Vaez A.
europepmc   +1 more source

The Association of Physical Function With Psychosocial Patient‐Reported Outcomes in People With Systemic Lupus Erythematosus

Arthritis Care &Research, EarlyView.
Objective To evaluate how modifiable psychosocial factors and fatigue relate to physical functioning in patients with systemic lupus erythematosus (SLE). Methods In this cross‐sectional study of two demographically distinct cohorts (Approaches to Positive, Patient‐Centered Experiences of Aging with Lupus [APPEAL] and California Lupus Epidemiology Study
Mrinalini Dey, Jessica Fitzpatrick, Maria Dall'Era, Charmayne Dunlop‐Thomas, Courtney Hoge, S. Sam Lim, Patricia P. Katz, Jinoos Yazdany, Laura C. Plantinga   +8 more
wiley   +1 more source

Impact Framework 2024-2030: Infoguide

The Impact Framework is the highest-level tool of the IDB, IDB Invest, and IDB Lab for monitoring performance and achieving strategic objectives under IDBStrategy.
Inter-American Development Bank
core   +1 more source

A Responsible AI Readiness Framework for Digital Self-Management Platforms: Illustrative Application to a Rule-Based GERD Platform. [PDF]

Healthcare (Basel)
Kang SY, Lee J, Gim JA.
europepmc   +1 more source