Results 181 to 190 of about 182,382 (264)

Engagement Patterns With an Artificial Intelligence Health Coach for Systemic Sclerosis Self‐Management: A Mixed Methods Study

Arthritis Care &Research, EarlyView.
Objective To evaluate utility of an artificial intelligence (AI) health coach for systemic sclerosis (SSc) self‐management and identify patterns associated with participant engagement. Methods We conducted a mixed methods study in which an AI health coach, powered by a large language model (LLM), was used to support self‐management for SSc.
Nirali Shah, Melanie Morris, Cristina Daraban, Sophia Johnson, Susan L. Murphy   +4 more
wiley   +1 more source

OCPP integrated artificial intelligence for forecasting scheduling and anomaly detection in city scale electric vehicle charging under urban tariffs. [PDF]

Sci Rep
Hossen MS, Ramasamy G, Eng NE, Shern SJ, Sarker MT.   +4 more
europepmc   +1 more source

Longitudinal Changes in Adiposity After a Youth Sport‐Related Knee Injury: Informing Posttraumatic Osteoarthritis Prevention

Arthritis Care &Research, EarlyView.
Objective Youth who experience a sport‐related knee injury have elevated odds of becoming overweight or developing obesity in 3 to 10 years, compounding their risk for posttraumatic osteoarthritis (PTOA). To inform prevention strategies, this study compared patterns of adiposity change between youth with a sport‐related knee injury and uninjured youth ...
Justin M. Losciale, Nuria E. J. Jansen, Christina Y. Le, Leo Lu, Hui Xie, Marienke van Middelkoop, Jackie L. Whittaker   +6 more
wiley   +1 more source

A telemetry dataset on resource utilisation and power consumption in the edge-cloud continuum. [PDF]

Data Brief
Kapetanidou IA, Kotsiopoulos T, Thanasoulis G, Bizopoulos P, Liatifis A, Skoularikis M, Nizamis A, Sarigiannidis P, Votis K.   +8 more
europepmc   +1 more source

Factors Associated With Fibromyalgia Diagnosis Among People Meeting Criteria: Results From UK Biobank

Arthritis Care &Research, EarlyView.
Objective The diagnosis of fibromyalgia (FM) is challenging due to the absence of definitive biomarkers, numerous overlapping comorbidities, and its reliance on patient‐reported symptoms. Discrepancies between diagnostic criteria and clinical practice imply the possibility of diagnostic biases, complicating timely and accurate identification.
Sung‐A Kim, Gary J. Macfarlane, Marcus J. Beasley   +2 more
wiley   +1 more source

Biologically Effective Dose-Optimized Multi-Intensity-Modulated Proton Therapy: A Biologically Comparable Alternative to Proton Arc Therapy. [PDF]

Int J Part Ther
Shinde N, Zhu Y, Wang W, Li W, Lin Y, Gan GN, Lominska C, Rotondo R, Chen RC, Gao H.   +9 more
europepmc   +1 more source

Individuals with Multi‐Joint Osteoarthritis Demonstrate Larger Longitudinal Declines in Frailty: Data from the Canadian Longitudinal Study on Aging

Arthritis Care &Research, Accepted Article.
Objective Test the hypothesis that multi‐joint osteoarthritis would modify the relation between time and frailty progression, where more affected joints would lead to larger declines over 6‐years compared to those without osteoarthritis using data from the Canadian Longitudinal Study on Aging.
Carson Halliwell, Rebecca Moyer, Myles W. O'Brien   +2 more
wiley   +1 more source

SIFA: A two-stage adaptive ensemble framework for solar irradiance forecasting using a wrapper-based feature selection and chaotic manta ray optimization. [PDF]

Sci Rep
Abdel-Basset M, Mohamed R, Alrashdi I, Mahdi M.   +3 more
europepmc   +1 more source

Facial cosmetic therapy use amongst patients with systemic sclerosis: an Australian cohort study

Arthritis Care &Research, Accepted Article.
Objective Systemic sclerosis (SSc) is associated with numerous facial manifestations for which patients may engage in cosmetic therapies. It is unclear how patients with SSc use these therapies. This study sought to characterise patient engagement and experiences with cosmetic therapies for SSc‐related and non‐SSc‐related facial changes.
Zachary Warren, Diane Apostolopoulos, Gene‐Siew Ngian, Amanda M Saracino, Laura Ross, Nava Ferdowsi, Jennifer Walker, Cindy Hall, Kim Griggs, Susanna Proudman, Wendy Stevens, Joanne Sahhar   +11 more
wiley   +1 more source

Machine learning-based correlation of charpy impact properties between sub-sized and standard-sized specimens for nuclear structural materials. [PDF]

Sci Rep
Sreenivasulu YK, Lee I, Merickel JW, Xu F, Tang Y, Rittenhouse JE, Vakanski A, Song R.   +7 more
europepmc   +1 more source