Results 151 to 160 of about 597,523 (235)

ChatGPT, Claude Sonnet, and Grok Display Similarly Low Rates of Accuracy in Identifying Image‐Based Orthopaedic Sports Pathologies

Arthroscopy, Sports Medicine, and Rehabilitation, EarlyView.
Purpose To assess the ability of artificial intelligence (AI) to identify common sports‐related pathologies using radiologic imaging and to compare ChatGPT 4.0 with 2 competitors, Grok 2 and Claude 3.5 Sonnet. Methods ChatGPT 4.0, Grok 2, and Claude 3.5 Sonnet were used. Five common orthopaedic sports pathologies were chosen: anterior cruciate ligament
Ahmad R. Alhankawi, Collin L. Braithwaite, Alejandro M. Holle, M. Lane Moore, Saad Tarabichi, Anikar Chhabra   +5 more
wiley   +1 more source

Correction: High-content screening (HCS) workflows for FAIR image data management with OMERO. [PDF]

Sci Rep
Massei R, Busch W, Serrano-Solano B, Bernt M, Scholz S, Nicolay EK, Bohring H, Bumberger J.   +7 more
europepmc   +1 more source

PEPITEM Regulates the Synovial Microenvironment During Immune‐Mediated Inflammatory Arthritis to Limit Disease

Arthritis &Rheumatology, EarlyView.
Objective Here we investigate the status of the adiponectin–PEPITEM pathway in early, treatment naive rheumatoid arthritis (RA) and psoriatic arthritis (PsA) and the therapeutic efficacy of PEPITEM administration in preclinical models. Methods Peripheral blood was isolated from patients with clinical suspect arthralgia and suspected inflammatory ...
Mussarat Wahid, Samuel Kemble, Oladimeji Abudu, Anella Saviano, Christopher Mahony, Jonathan W. Lewis, Thomas A. Nicholson, Anna Schettino, Noemi Marigliano, Kathryn Frost, Jenefa Begum, Alyssa M. Urbanowski, Marion Limo, Rakesh Jha, Sandra Martinez Jarquin, Laleh Pezhman, Abbie E. A. Degan, Amy E. Anderson, Charlotte G. Smith, Armaiti Batki, Holly Adams, Francesco Caso, Raffaele Scarpa, Iain McInnes, Stefan Siebert, Arthur G. Pratt, Andrew Filer, Karim Raza, Adam P. Croft, Myriam Chimen, Felicity de Cogan, G. Ed Rainger, Asif J. Iqbal, Francesco Maione, Helen M. McGettrick   +34 more
wiley   +1 more source

Cell type annotation using large language models (LLMs) and CytoAnalyst. [PDF]

Bioinform Adv
Nguyen K, Tran D, Nguyen P, Ro S, Bya P, Nguyen T.   +5 more
europepmc   +1 more source

Unveiling Endotypes in Systemic Lupus Erythematosus Through Multiomic Analysis: Insights Into Cardiovascular and Renal Complications

Arthritis &Rheumatology, EarlyView.
Objective Systemic lupus erythematosus (SLE) shows clinical and molecular heterogeneity, and cardiovascular (CV) complications and lupus nephritis (LN) remain leading causes of morbidity and mortality. This study investigated whether omic profiling can reveal molecular endotypes linked to these outcomes.
Tomás Cerdó, Laurel Woodridge, Sagrario Corrales, Juan Rafael Muñoz‐Castañeda, Ana Isabel Torralbo, Anisur Rahman, Filipa Farinha, Rafaela Ortega Castro, Pedro Segui, Ismael Sanchez‐Pareja, Laura Muñoz‐Barrera, Christian Merlo, Desiree Ruiz‐Vilchez, M. Carmen Ábalos‐Aguilera, Pilar Font, Nuria Barbarroja Puerto, PRECISESADS Clinical Consortium, Lorenzo Beretta, Barbara Vigone, Jacques‐Olivier Pers, Alain Saraux, Valérie Devauchelle‐Pensec, Divi Cornec, Sandrine Jousse‐Joulin, Bernard Lauwerys, Julie Ducreux, Anne‐Lise Maudoux, Carlos Vasconcelos, Ana Tavares, Esmeralda Neves, Raquel Faria, Mariana Brandão, Ana Campar, António Marinho, Fátima Farinha, Isabel Almeida, Miguel Angel Gonzalez‐Gay Mantecón, Ricardo Blanco Alonso, Alfonso Corrales Martínez, Ricard Cervera, Ignasi Rodríguez‐Pintó, Gerard Espinosa, Rik Lories, Ellen De Langhe, Nicolas Hunzelmann, Doreen Belz, Torsten Witte, Niklas Baerlecken, Georg Stummvoll, Michael Zauner, Michaela Lehner, Eduardo Collantes, Ma Carmen Castro‐Villegas, Norberto Ortego, María Concepción Fernández Roldán, Enrique Raya, Inmaculada Jiménez Moleón, Enrique de Ramon, Isabel Díaz Quintero, Pier Luigi Meroni, Maria Gerosa, Tommaso Schioppo, Carolina Artusi, Carlo Chizzolini, Aleksandra Zuber, Donatienne Wynar, Laszló Kovács, Attila Balog, Magdolna Deák, Márta Bocskai, Sonja Dulic, Gabriella Kádár, Falk Hiepe, Velia Gerl, Silvia Thiel, Manuel Rodriguez Maresca, Antonio López‐Berrio, Rocío Aguilar‐Quesada, Héctor Navarro‐Linares, Marta Alarcón‐Riquelme, Alejandro Escudero‐Contreras, M. Ángeles Aguirre‐Zamorano, Carlos Perez‐Sanchez, Elizabeth C. Jury, Chary Lopez‐Pedrera   +84 more
wiley   +1 more source

Improving the detection and management of common non-communicable diseases in adults in rural Sidama National Regional State, Ethiopia: Study protocol. [PDF]

PLoS One
Likka MH, Areru HA, Birhanu BE, Hibistu DT, Lindtjørn B.   +4 more
europepmc   +1 more source

Clock Genes Regulate Ca2+ Signaling and Mitochondrial Bioenergetics to Inhibit Sjögren Disease

Arthritis &Rheumatology, EarlyView.
Objective Although Ca2+ signaling and metabolism have been identified as key determinants for the development of Sjögren disease (SjD), the intricate connection between them and salivary gland physiology remains poorly understood. Methods Fluorescence‐based Ca2+ imaging, RNA sequencing, and mitochondrial activity were used to investigate the effects of
Viktor R. Drel, Manigandan Venkatesan, Rahul S. Jasrotia, Yuyang Sun, Viviane Nascimento da Conceicao, Neelanjan Vishnu, Shankara N. Varadarajan, Venugopal R. Bovilla, Rajender K. Motiani, Shobhan Gaddameedhi, Bibhuti B. Mishra, Muniswamy Madesh, Brij B. Singh   +12 more
wiley   +1 more source

ChemGenXplore: an interactive tool for exploring and analysing chemical genomic data. [PDF]

Bioinformatics
Ahmad H, Doherty HM, Benedict ST, Haycocks JRJ, Zhou G, Moynihan PJ, Moradigaravand D, Banzhaf M.   +7 more
europepmc   +1 more source

Body donor programs in Australia and New Zealand: Current status and future opportunities

Anatomical Sciences Education, Volume 18, Issue 3, Page 301-328, March 2025.
Abstract Body donation is critical to anatomy study in Australia and New Zealand. Annually, more than 10,000 students, anatomists, researchers, and clinicians access tissue donated by local consented donors through university‐based body donation programs. However, little research has been published about their operations.
Rebekah A. Jenkin, Kevin A. Keay
wiley   +1 more source

Machine learning identifies pupil size and corneal thickness as key predictors of axial elongation rate. [PDF]

PLoS One
Zhou P, Chen S, Li Y, Li Y.
europepmc   +1 more source