Results 131 to 140 of about 495,712 (260)

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

Application of reinforcement learning to aid the alignment of an electron microscope [PDF]

BIO Web of Conferences
Jinschek Richard Konstantin, Bahri Mounib, Gianni Mario, Shen Yao-Chun, Browning Nigel D.   +4 more
doaj   +1 more source

Exploring memory effects: Sparse identification in vector-borne diseases. [PDF]

Proc Natl Acad Sci U S A
Breda D, Tanveer M, Wu J, Zhang X.
europepmc   +1 more source

Beyond Visual Scoring: Computational CT‐analysis for HRCT based quantification of Interstitial Lung Disease in Inflammatory Rheumatic Disease

Arthritis Care &Research, Accepted Article.
Interstitial lung disease (IRD‐ILD) is a significant cause of morbidity and mortality in patients with inflammatory rheumatic disorders (IRD). High‐resolution computed tomography (HRCT) is widely considered the gold standard for the non‐invasive assessment of ILD; however, its interpretation is constrained by substantial inter‐observer variability and ...
Alexander Pfeil, Tobias Hoffmann, Ulf Teichgräber, Diane Renz, Denise Beckmann, Gunter Wolf, Nicole Schadewaldt, Bianca Lassen‐Schmidt   +7 more
wiley   +1 more source

A Review of Optical Grouping Techniques for Distributed Training of Large Models

Guangtongxin yanjiu
In recent years, the wide application of ultra-large-scale deep learning models has driven the rapid development of artificial intelligence. However, with the leap in model parameter size from ten million to trillions, a single machine or a single card ...
WANG Dongrou, LI Xin, ZHAO Chenyu, QI Shubo, HUANG Shanguo   +4 more
doaj  

Validation of Patient‐Reported Outcomes Measurement Information System® (PROMIS®) Pediatric Measures for Children with Chronic Nonbacterial Osteomyelitis

Arthritis Care &Research, Accepted Article.
Objectives To assess the validity of the Patient‐Reported Outcomes Measurement Information System® (PROMIS®) Pediatric measures in patients with chronic nonbacterial osteomyelitis (CNO). Methods Within the longitudinal patient registry of CNO, English‐speaking patients aged 8 years and older self‐reported PROMIS Pediatric measures of fatigue, pain ...
Mary M. Eckert, Eveline Y. Wu, Melissa Oliver, Joshua Scheck, Sivia Lapidus, Ummusen Kaya Akca, Shima Yasin, Aleksander Lenert, Sara Stern, Antonella Insalaco, Manuela Pardeo, Gabriele Simonini, Edoardo Marrani, Xing Wang, Bin Huang, Leonard K. Kovalick, Natalie Rosenwasser, Erin Balay‐Destrude, Gabriel Casselman, Adriel Liau, Ava Klein, Yurong Shao, Claire Yang, Molly Briggs, Ethan Mueller, Emily Deng, Paige Rhiannon Trunnell, Iris Hamilton, Elise Machrone, Doaa Mosad Mosa, Lori Tucker, Hermann Girschick, Ronald M. Laxer, Georgina Tiller, Jonathan Akikusa, Christian M. Hedrich, Karen Onel, Fatma Dedeoglu, Marinka Twilt, Seza Ozen, Polly J Ferguson, Laura Schanberg, Bryce B. Reeve, Yongdong Zhao   +43 more
wiley   +1 more source

Multi-Dimensional Data Restoration from Subsampled EBSD Data [PDF]

BIO Web of Conferences
Broad Zoe, Wells Jack, Nicholls Daniel, Robinson Alex W., Moshtaghpour Amirafshar, Masters Robert, Hughes Louise, Kirkland Angus I., Browning Nigel D.   +8 more
doaj   +1 more source

Distributed Jamming Method for ASLC Systems Based on Random Phase Perturbation. [PDF]

Sensors (Basel)
Qi L, Zhou J.
europepmc   +1 more source

Automated Hand Flexor Tendon Thickness Measurement in Systemic Sclerosis

Arthritis Care &Research, Accepted Article.
Objective Systemic sclerosis (SSc) can affect flexor tendons, contributing to hand function problems and reduced quality of life. Tendon changes are currently assessed with ultrasound and measured manually, a time‐consuming process prone to inter‐observer variability.
Mark Greveling, Ties van het Erve, Yvette van de Berg, Simon Mastbergen, Julia Spierings   +4 more
wiley   +1 more source

dynoGP: Deep Gaussian Processes for Dynamic System Identification

International Journal of Adaptive Control and Signal Processing, EarlyView.
This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli, Marco Forgione, Dario Piga   +2 more
wiley   +1 more source