Results 171 to 180 of about 4,792,599 (291)
Does the Intent Match the Output: Aligning Development Goals With Training Load in Youth Basketball. [PDF]
Lever JR +5 more
europepmc +1 more source
Objective Orofacial manifestations are significantly impactful in patients with systemic sclerosis (SSc) yet remain understudied, with no dedicated clinical guidelines to inform their management. Methods An international online survey comprised38 questions addressing orofacial manifestations of SSc, including patients’ confidence in their treating ...
Eleni Deligianni +4 more
wiley +1 more source
The relationship between training load and injury risk in taekwondo: a systematic review. [PDF]
Hu Y +9 more
europepmc +1 more source
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 +2 more
wiley +1 more source
Relationships Between Training Load, Perceived Cognitive Load and Sleep in Student-Athletes. [PDF]
Apinis-Deshaies A, Trempe M, Tremblay J.
europepmc +1 more source
Objective For cartilage morphology to serve as a scalable endpoint in clinical trials, analyses should be performed automatically without human interaction. To clinically validate artificial intelligence (AI)‐based analysis, we studied cartilage loss from MRI prior to knee replacement.
Felix Eckstein +3 more
wiley +1 more source
Physical Fitness and External Training Load Represent Distinct Dimensions of Performance in Female Football Players During the Pre-Season. [PDF]
Birk Preissler AA +6 more
europepmc +1 more source
Biomedical research involving United States Veterans continues to advance healthcare beyond the Veterans Health Administration. This is particularly true in rheumatoid arthritis (RA), where Veteran‐centric research has uncovered novel insights into pathogenesis, risk factors, and disease manifestations, informing clinical care and research across both ...
Austin M. Wheeler +20 more
wiley +1 more source
Machine Learning and Non-Invasive Monitoring Technologies for Training Load Management in Women's Volleyball: A Scoping Review. [PDF]
Sanhueza Tapia HG +3 more
europepmc +1 more source

