Results 171 to 180 of about 1,096,402 (268)

Beyond Analytical Agreement: Integrating Analytical Performance and Algorithm-Assisted Morphological Interpretation in a Comparative Evaluation of the Mindray BC-7800/BC-7900 and Sysmex XN-9100 Hematology Platforms. [PDF]

Diagnostics (Basel)
Ciullini Mannurita S, Romeo D, Bonari A, Russo E, Nardiello P, Becherucci V, Vitali D, Fanelli A, Romano F.   +8 more
europepmc   +1 more source

Triangular Index Ratio as an Alternative Method to the Alpha Angle for Defining the Presence of Cam Morphology: A Prospective Cohort Study

Arthritis Care &Research, EarlyView.
Objective Cam morphology, which is a significant risk factor for hip osteoarthritis, is commonly quantified by the alpha angle (AA). This study aims to explore the potential of the triangular index ratio (TIR) to quantify cam morphology on anteroposterior radiographs by assessing the association between TIR‐defined cam morphology and the development of
Jinchi Tang, Fleur Boel, Michiel M. A. van Buuren, Noortje S. Riedstra, Myrthe A. van den Berg, Jos Runhaar, Sita Bierma‐Zeinstra, Rintje Agricola   +7 more
wiley   +1 more source

Differentiation of Acclimation Responses and Seedling Source Effects in Deciduous and Evergreen Conifer Seedlings Under Cross-Altitude Transplantation. [PDF]

Plants (Basel)
Xie J, Zhang Z, Yang Y, Guo J, Chen X, Liu T.   +5 more
europepmc   +1 more source

Artificial Intelligence in Systemic Sclerosis: Clinical Applications, Challenges, and Future Directions

Arthritis Care &Research, EarlyView.
Systemic sclerosis (SSc) is a rare autoimmune disease defined by immune dysregulation, vasculopathy, and progressive fibrosis of the skin and internal organs. Despite advances in care, major complications such as interstitial lung disease (ILD) and myocardial involvement remain the leading causes of morbidity and mortality.
Cristiana Sieiro Santos, José Miguel Sequí‐Sabater, Diego Benavent   +2 more
wiley   +1 more source

Morphological Correlates of Suppressed Autonomic Modulation: A Machine Learning Approach to Identifying Vagal Impairment Phenotypes in Women. [PDF]

J Funct Morphol Kinesiol
Materko W, Chagas GFD, Benchimol-Barbosa PR, Nadal J.   +3 more
europepmc   +1 more source

Sphingolipid Metabolism Links Morphological Signatures to Immunomodulatory Potency in Human Mesenchymal Stromal Cells. [PDF]

Cell Mol Bioeng
Shah DC, Leitmann BW, Priyadarshani P, DeVeaux SA, Munoz C, Zhang Y, Rui K, Chiappa NF, Hymel LA, York W, Ogle ME, Botchwey EA, Mortensen LJ.   +12 more
europepmc   +1 more source

Development of a Disease Activity Index for the Assessment of VEXAS Syndrome (VEXAS‐DAI)

Arthritis Care &Research, EarlyView.
Objective Vacuoles, E1 enzyme, X‐linked, autoinflammatory, somatic syndrome (VEXAS) syndrome is characterized by a complex spectrum of inflammatory and hematologic manifestations. Clinical research to identify effective therapies is urgently needed but is hindered by the lack of validated outcome measures.
Kevin Byram, Heřman Mann, Danielle Hammond, Onima Chowdhury, Sinisa Savic, Yohei Kirino, Carmelo Gurnari, Maël Heiblig, Thibault Comont, Arsène Mekinian, Mrinal M. Patnaik, Lachelle D. Weeks, Gary Ho, Adam Al‐Hakim, Scott Goldberg, Marcela A. Ferrada, Sophie Georgin‐Lavialle, Peter C. Grayson, Emma M. Groarke, Bhavisha Patel, Megan Sullivan, Sarah A. Buckley, Bryan G. Harder, Raman Garcha, David B. Beck, Matthew J. Koster   +25 more
wiley   +1 more source

Morphological and molecular identification of <i>Hyalomma</i> ticks in Kazakhstan reveals new regional records of <i>H. dromedarii, H. rufipes</i>, and <i>H. asiaticum</i>. [PDF]

Front Vet Sci
Sansyzbay A, Izbanova U, Sayakova Z, Nusupova S, Kamalova D, Sultanov A, Umitzhanov M, Zhumanov K, Khizat S, Shevtsov A, Tukhanova N.   +10 more
europepmc   +1 more source

Clinical Validation of Artificial Intelligence (AI)‐based Cartilage Segmentation Predicting Knee Replacement

Arthritis Care &Research, Accepted Article.
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, David J. Hunter, C. Kent Kwoh, Wolfgang Wirth   +3 more
wiley   +1 more source