Results 21 to 30 of about 234 (89)

Obinutuzumab, lenalidomide, and venetoclax for the initial treatment of patients with advanced‐stage follicular lymphoma: Results of the Phase Ib/II LEVERAGE study

open access: yesHemaSphere, Volume 10, Issue 6, June 2026.
Abstract Follicular lymphoma (FL) is the most common indolent lymphoma. Although chemoimmunotherapy is effective, toxicity remains problematic, and novel treatments are required. We performed a Phase Ib/II study of obinutuzumab, lenalidomide, and venetoclax in patients with treatment‐naïve, high tumor burden, advanced‐stage FL. During induction (6 × 28‐
Chan Y. Cheah   +11 more
wiley   +1 more source

Variable Selection in Multistate Models for Correlated Data With Application in a COVID‐19 Vaccination Study

open access: yesStatistics in Medicine, Volume 45, Issue 13-14, June 2026.
ABSTRACT Depicting patient transitions among multiple clinical states is a common objective in health services and epidemiological research. Multistate models (MSM) are the primary analytical approach used in such studies. Although the structure of an MSM is typically determined by the research questions of a specific application, models are typically ...
Jason Mao, Yang Li, Wanzhu Tu
wiley   +1 more source

Subgroup Identification via Multiple Change Point Detection: Methods and Applications

open access: yesWIREs Computational Statistics, Volume 18, Issue 2, June 2026.
Subgroup identification methods facilitate the discovery of clinically meaningful subpopulations with differing disease progression, improving personalized risk assessment and treatment strategies. ABSTRACT Subgroup identification is a significant research area in statistics and machine learning, aiming to partition a heterogeneous population into more
Yaguang Li   +3 more
wiley   +1 more source

Covariance Estimation for Wide Data

open access: yesWIREs Computational Statistics, Volume 18, Issue 2, June 2026.
Covariance matrix estimation is fundamental to multivariate analysis, with applications spanning finance, genomics, climate science, and signal processing. This review synthesizes recent advances in high‐dimensional covariance estimation‐thresholding, linear and nonlinear shrinkage, graphical models, and random matrix theory‐under a unifying framework ...
Eran Raviv
wiley   +1 more source

Transient Porosity During Fluid‐Mineral Interaction, Part 2: Reconstruction Using Generative AI

open access: yesJournal of Geophysical Research: Solid Earth, Volume 131, Issue 6, June 2026.
Abstract Quantifying fluid–rock interactions within the lithosphere is vital for both geological processes and applications such as CO2 ${\text{CO}}_{2}$ storage and geothermal energy development. Mineral replacement reactions generate transient pore networks that enhance fluid flow, yet many pores become isolated once reactions are completed, reducing
Hamed Amiri   +5 more
wiley   +1 more source

Distribution‐Guided Ensemble Postprocessing for S2S Precipitation Forecasts: A Seamless Pathway Using Deep Generative Models

open access: yesJournal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 3, June 2026.
Abstract Atmosphere‐ocean‐land coupled forecasting systems, despite their comprehensiveness, face substantial challenges in the “predictability desert” at subseasonal to seasonal (S2S) timescales, particularly for precipitation—a variable crucial for socioeconomic activities yet of stunning spatiotemporal variance. Post‐processing methods developed for
Wen Shi   +9 more
wiley   +1 more source

Bayesian Decision Thresholds for Bushfire Warnings: Calibration and Robustness for Rare‐Event Risk

open access: yesAustralian &New Zealand Journal of Statistics, Volume 68, Issue 2, June 2026.
ABSTRACT Current bushfire warning systems communicate the probability of a warning given danger, but residents require the probability of danger given a warning. This misalignment, combined with the extreme rarity of catastrophic fires, often leads to the dangerous ‘wait and see’ behaviour.
Miodrag Lovric, Ojas Davé
wiley   +1 more source

DNase1 RS1053874 Polymorphism is Associated with Early Neurological Recovery through NET Modulation and with Long‐Term Survival in Ischemic Stroke: A Prospective Cohort Study

open access: yesAnnals of Neurology, Volume 99, Issue 5, Page 1210-1223, May 2026.
Objective Immunothrombosis contributes to ischemic stroke pathophysiology through neutrophil extracellular trap (NET) formation, which promotes thrombus stabilization and microvascular dysfunction. DNase1 is the principal endonuclease responsible for NET degradation.
B. Díaz‐Benito   +10 more
wiley   +1 more source

Poster Sessions

open access: yes
HemaSphere, Volume 10, Issue S1, June 2026.
wiley   +1 more source

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