Results 181 to 190 of about 7,467 (294)

Prospecting of Architectural Features Using LiDAR‐UAV Technology, Deep Neural Networks and Visualization Techniques: A Case Study in Kuélap and Cambolín (NW Peru)

Archaeological Prospection, EarlyView.
ABSTRACT High‐resolution and accurate synoptic images of terrestrial topography, even in densely forested areas, have proven valuable for archaeology by enabling the identification and characterization of relief patterns associated with ancient human activities. This study presents a novel approach that integrates digital terrain models (DTMs) obtained
Jhon A. Zabaleta‐Santisteban, Rolando Salas López, Angel J. Medina‐Medina, Katerin M. Tuesta‐Trauco, Abner S. Rivera‐Fernandez, Nerci M. Noriega‐Salazar, José A. Sánchez‐Vega, Teodoro B. Silva‐Melendez, Marlen A. Grandez‐Alberca, Jhonsy O. Silva‐López, Nilton B. Rojas‐Briceño, Manuel Oliva‐Cruz, Alexander Cotrina‐Sanchez, Elgar Barboza   +13 more
wiley   +1 more source

Association of Clonal Hematopoiesis With Incident, Late‐Onset, Seropositive Rheumatoid Arthritis

Arthritis &Rheumatology, EarlyView.
Objective Clonal hematopoiesis (CH), defined by acquired driver mutations in hematopoietic stem cells, is associated with many inflammatory diseases of aging. We investigated whether CH and its subtypes, CH of indeterminate potential (CHIP) and mosaic chromosomal alteration (mCA), are associated with incident rheumatoid arthritis (RA) and whether ...
Kun Zhao, Yash Pershad, J. Brett Heimlich, Michelle Ormseth, C. Michael Stein, Brian Sharber, Caitlyn Vlasschaert, Alexander G. Bick, Robert W. Corty   +8 more
wiley   +1 more source

Machine Learning to Predict Remission Between 6 and 24 Months in Rheumatoid Arthritis: Insights From JAK, an International Registry Collaboration

Arthritis &Rheumatology, EarlyView.
Objective To develop, externally validate, and simplify a machine learning model to predict remission between 6 and 24 months in patients with rheumatoid arthritis (RA) initiating tumor necrosis factor inhibitors, JAK inhibitors, interleukin‐6 inhibitors, abatacept, or rituximab using data from 11 international registries in the JAK‐pot collaboration ...
Zubeyir Salis, Denis Mongin, Denis Choquette, Louis Coupal, Catalin Codreanu, Florenzo Iannone, Roberto Caporali, Tore K. Kvien, Sella Provan, Ruth Fritsch‐Stork, Dan Nordström, Nina Trokovic, Karel Pavelka, Jakub Závada, Ana Rodrigues, Ziga Rotar, Prodromos Sidiropoulos, Irini Flouri, Céline Lamacchia, Michele Iudici, Delphine Courvoisier, Kim Lauper, Axel Finckh   +22 more
wiley   +1 more source

Expert Perspectives: Defining and Managing Progressive Pulmonary Fibrosis in Systemic Sclerosis

Arthritis &Rheumatology, EarlyView.
Systemic sclerosis–associated interstitial lung disease (SSc‐ILD) is one of the leading causes of morbidity and mortality in SSc, affecting up to three‐quarters of patients. The disease course is highly heterogeneous, ranging from indolent, nonprogressive forms to rapidly progressive pulmonary fibrosis (PPF).
Devis Benfaremo, Dinesh Khanna, Corrado Campochiaro, Vincent Cottin, Fabrizio Luppi, Marco Matucci‐Cerinic, Gianluca Moroncini, Yannick Allanore   +7 more
wiley   +1 more source

Beyond the Outburst: Charting a New Frontier for Understanding and Treating Irritability in Autistic Adults

Autism Research, EarlyView.
ABSTRACT Irritability is a prevalent and impairing feature associated with autism, yet remains poorly understood, particularly in adults. Drawing heavily on insights translated from pediatric and transdiagnostic literatures, we propose that irritability in autistic individuals often reflects a psychophysiological stress or threat response, rooted in a ...
Hsiang‐Yuan Lin, Arthur N. Westover, Amy S. F. Lutz, Manish K. Jha   +3 more
wiley   +1 more source

Paediatric development of radiopharmaceutical imaging agents and radioligand therapeutics

British Journal of Clinical Pharmacology, EarlyView.
Abstract This review focuses on the development of radiopharmaceutical imaging agents and radioligand therapeutics for paediatric use. Nuclear medicine plays an important role in the diagnosis and treatment of various childhood conditions, including cancers, infections and brain disorders.
Justin L. Hay, Amandine Manon, Hunter Stephens, S. Y. Amy Cheung, Bart de Keizer, Erik T. te Beek   +5 more
wiley   +1 more source

Applying machine learning to pharmacovigilance data: A proof‐of‐concept study

British Journal of Clinical Pharmacology, EarlyView.
Aim Machine learning (ML) applications in pharmacovigilance remain limited and underexplored. Using data from the French National pharmacovigilance database (FNPV), this proof‐of‐concept study aimed to assess the feasibility of using a ML algorithm—eXtreme Gradient Boosting (XGBoost)—combined with SHapley Additive exPlanations (SHAP) analysis, to ...
Romain Barus, Pauline Schiro, Jean‐Luc Faillie, Romane Freppel, Johana Béné, Claire de Canecaude, François Montastruc   +6 more
wiley   +1 more source

Unveiling student sentiment dynamics toward AI‐based education through statistical analysis and Monte Carlo simulation

British Educational Research Journal, EarlyView.
Abstract This study explores the multifaceted dynamics of student sentiment towards artificial intelligence (AI)‐based education by integrating sentiment analysis techniques with statistical methods, including Monte Carlo simulations and decision tree modelling, alongside qualitative grounded theory analysis.
Volkan Duran, Ercümend Ersanlı, Hurinur Çelik   +2 more
wiley   +1 more source

Organizational Sensemaking Theory Perspective of Developing AI‐Driven Strategies for Sustainability Initiatives

Business Strategy and the Environment, EarlyView.
ABSTRACT Although artificial intelligence (AI) is increasingly being touted to assist organizations, AI integration for sustainability efforts has been limited AND sporadic and tends to follow an ad hoc strategy. The existing literature therein focuses on the technological capabilities of AI, overlooking how organizations make sense of and ...
Amanda Balasooriya, Darshana Sedera
wiley   +1 more source

A Taxonomy of Predictive Maintenance as a Basis for Supra‐Regional Sustainability Monitoring—Literature Review

Business Strategy and the Environment, EarlyView.
ABSTRACT The concept of predictive maintenance in advanced manufacturing systems is crucial from the point of view of resource efficiency in the era of high competitiveness forced by energy transformation in the digital economy. Against the backdrop of sustainability and the opportunities a data cooperative offers, the combination of predictive ...
Christian Schachtner, Nadine Baumann, Marek Jabłoński, Adam Jabłoński, Mariusz Bednarek, Sławomir Luściński, Piotr Bilski   +6 more
wiley   +1 more source