Results 201 to 210 of about 414,528 (301)

A Metabolomic Signature Predicts Gout Flare Clinical Outcome Associated With Colchicine Prophylaxis

Arthritis &Rheumatology, EarlyView.
Objective This study investigated that serum metabolomics, before urate‐lowering therapy (ULT) initiation, could serve as a biomarker for responsiveness to colchicine prophylaxis in patients with gout commencing treat‐to‐target ULT. Methods We studied a multicenter prospective cohort (n = 409) initiating treat‐to‐target ULT plus colchicine prophylaxis.
Wenyan Sun, Lingfang Xu, Haibing Chen, Mingshu Sun, Zhiqiang Li, Rui Li, Lidan Ma, Hui Zhang, Aichang Ji, Yuwei He, Na Wu, Le Yan, Robert Terkeltaub, Changgui Li   +13 more
wiley   +1 more source

Unsupervised learning to identify symptom clusters in older adults undergoing chemotherapy. [PDF]

J Geriatr Oncol
Ramsdale E, Zhou Y, Smith L, Xu H, Tylock R, Flannery M, Mohile S, Anand A.   +7 more
europepmc   +1 more source

Unsupervised Feature Learning by Cross-Level Discrimination between Instances and Groups [PDF]

, 2020
Xudong Wang, Ziwei Liu, Stella X. Yu
openalex  

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

Pattern Mining of Older Drivers' Driving Behavior Through Telematics-data-driven Unsupervised Learning. [PDF]

IEEE Sens J
Moshfeghi S, Jang J.
europepmc   +1 more source

SIHDConReg: Continual learning for unsupervised 3D medical image registration via an improved synaptic intelligence [PDF]

Adrian S. Remigio
openalex   +1 more source

Context‐centric proactive information delivery for Knowledge Work support: Opportunities, challenges, and directions. An Annual Review of Information Science and Technology (ARIST)

Journal of the Association for Information Science and Technology, EarlyView.
Abstract Context‐centric proactive information delivery (PID) is a relatively underexplored domain within recommender systems (RS) aimed at enhancing Knowledge Workers' productivity by proactively providing relevant information during digital tasks.
Mahta Bakhshizadeh, Christian Jilek, Markus Schröder, Heiko Maus, Andreas Dengel   +4 more
wiley   +1 more source

Clinical phenotypes among patients that underwent cardiac resynchronization therapy using unsupervised learning integrating gated SPECT. [PDF]

Nucl Med Commun
Leal de Azevedo Junior G, Painter N, He Z, Larsen K, Sha Q, Zhang X, Zou J, Hung GU, Peix A, Mesquita CT, Zhou W.   +10 more
europepmc   +1 more source

Advancing Segmentation and Unsupervised Learning Within the Field of Deep Learning

, 2018
Michael Kampffmeyer
openalex   +1 more source

Surveillance-oriented trajectory-based anomaly detection: supervised vs unsupervised learning approaches

L. Ng
openalex   +1 more source