Results 201 to 210 of about 2,409,718 (296)

Deciphering the Code of Viral-Host Adaptation Through Maximum-Entropy Nucleotide Bias Models. [PDF]

Mol Biol Evol
Di Gioacchino A, Lecce I, Greenbaum BD, Monasson R, Cocco S.   +4 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

GRAMEP: an alignment-free method based on the maximum entropy principle for identifying SNPs. [PDF]

BMC Bioinformatics
Pimenta-Zanon MH, Kashiwabara AY, Vanzela ALL, Lopes FM.   +3 more
europepmc   +1 more source

Extending Service Beyond Active Duty: Generalizability of Rheumatoid Arthritis Research Conducted Among U.S. Veterans

Arthritis Care &Research, Accepted Article.
Biomedical research involving United States Veterans continues to advance healthcare beyond the Veterans Health Administration. This is particularly true in rheumatoid arthritis (RA), where Veteran‐centric research has uncovered novel insights into pathogenesis, risk factors, and disease manifestations, informing clinical care and research across both ...
Austin M. Wheeler, Joshua F. Baker, Jennifer L. Barton, Maria I. Danila, Tate M. Johnson, Kamini Kuchinad, Kaleb Michaud, Amir A. Razmjou, J. Steuart Richards, Namrata Singh, Isaac D. Smith, Katherine D. Wysham, Grant W. Cannon, Bryant R. England, Amy Joseph, Deana Lazaro, Katherine P. Liao, Courtney Loecker, Andreas Reimold, Beth I. Wallace, Ted R. Mikuls   +20 more
wiley   +1 more source

Elevated liver enzymes is not an impediment to allopurinol dose escalation: an observational cohort study

Arthritis Care &Research, Accepted Article.
Objective Routine liver enzyme monitoring is advocated while on allopurinol but supporting guidance is lacking. We assessed the incidence and factors associated with elevated liver enzymes in gout patients commenced on allopurinol. Methods 150 patients with gout and normal baseline serum aminotransferases initiated on allopurinol were followed ...
May Shuen Tang, Qai Ven Yap, Peter Pak Moon Cheung, Amelia Santosa, Gim Gee Teng   +4 more
wiley   +1 more source

Combining simulations and experiments - a perspective on maximum entropy methods.

Phys Chem Chem Phys
Stöckelmaier J, Oostenbrink C.
europepmc   +1 more source

Predicting the Potential Distribution of <i>Lagotis</i> Medicinal Plants on the Qinghai-Xizang Plateau, With a Maximum Entropy Model. [PDF]

Ecol Evol
Ma H, Wang B, Yang X, Zhou G.
europepmc   +1 more source

Incidence, Risk Factors and Management of Adverse Events in Contemporary Real‐World Care of Children with Juvenile Idiopathic Arthritis

Arthritis Care &Research, Accepted Article.
Objective We describe the frequency, risk factors, severity, and management of actionable and serious adverse events (AAE and SAE) in children with newly diagnosed Juvenile Idiopathic Arthritis (JIA) in Canada. Methods We enrolled patients within 3 months of JIA diagnosis in the Canadian Alliance of Pediatric Rheumatology Investigators (CAPRI) Registry,
Bashayer Alnuaimi, Roberta A. Berard, Jean‐Philippe Proulx‐Gauthier, Heinrike Schmeling, Michelle Batthish, Gilles Boire, Adam M. Huber, Dax G. Rumsey, Jaime Guzman, Gaëlle Chédeville, The CAPRI registry Investigators   +10 more
wiley   +1 more source

Determining the lifetime distribution using fractional moments with maximum entropy. [PDF]

Heliyon
Gzyl H, Mayoral S.
europepmc   +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, Marco Zaffalon   +3 more
wiley   +1 more source