Results 41 to 50 of about 628,696 (290)

Hematopoietic (stem) cells—The elixir of life?

open access: yesFEBS Letters, EarlyView.
The aging of HSCs (hematopoietic stem cells) and the blood system leads to the decline of other organs. Rejuvenating aged HSCs improves the function of the blood system, slowing the aging of the heart, kidney, brain, and liver, and the occurrence of age‐related diseases.
Emilie L. Cerezo   +4 more
wiley   +1 more source

The role of histone modifications in transcription regulation upon DNA damage

open access: yesFEBS Letters, EarlyView.
This review discusses the critical role of histone modifications in regulating gene expression during the DNA damage response (DDR). By modulating chromatin structure and recruiting repair factors, these post‐translational modifications fine‐tune transcriptional programmes to maintain genomic stability.
Angelina Job Kolady, Siyao Wang
wiley   +1 more source

Time after time – circadian clocks through the lens of oscillator theory

open access: yesFEBS Letters, EarlyView.
Oscillator theory bridges physics and circadian biology. Damped oscillators require external drivers, while limit cycles emerge from delayed feedback and nonlinearities. Coupling enables tissue‐level coherence, and entrainment aligns internal clocks with environmental cues.
Marta del Olmo   +2 more
wiley   +1 more source

Meta‐analysis for Surrogacy: Accelerated Failure Time Models and Semicompeting Risks Modeling [PDF]

open access: yes, 2011
Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/90527/1/j.1541-0420.2011.01633.x ...
Abbing   +13 more
core   +1 more source

The newfound relationship between extrachromosomal DNAs and excised signal circles

open access: yesFEBS Letters, EarlyView.
Extrachromosomal DNAs (ecDNAs) contribute to the progression of many human cancers. In addition, circular DNA by‐products of V(D)J recombination, excised signal circles (ESCs), have roles in cancer progression but have largely been overlooked. In this Review, we explore the roles of ecDNAs and ESCs in cancer development, and highlight why these ...
Dylan Casey, Zeqian Gao, Joan Boyes
wiley   +1 more source

A flexible accelerated Weibull distribution for actuarial risk analysis: Theoretical and empirical evaluation with real claims data

open access: yesAIMS Mathematics
This paper proposed a novel accelerated failure time (AFT) model based on the weighted Topp-Leone Weibull (WTLW) distribution, designed for robust survival analysis under censored and uncensored actuarial and biomedical data.
Mohamed Ibrahim   +5 more
doaj   +1 more source

Log-skew-normal accelerated failure time models [PDF]

open access: yes, 2012
Accelerated Failure Time models (AFT) are useful alternatives to the Cox model in survival analysis. Recently, AFT models for multivariate data have been considered with exible distributions of the error term.
Callegaro, Andrea
core   +1 more source

A Combined GEE/Buckley-James Method for Estimating an Accelerated Failure Time Model of Multivariate Failure Times [PDF]

open access: yes, 1996
The present paper deals with the estimation of a frailty model of multivariate failure times. The failure times are modeled by an Accelerated Failure Time Model including observed covariates and an unobservable frailty component.
Hamerle, Alfred, Hornsteiner, U.
core   +2 more sources

Intein‐based modular chimeric antigen receptor platform for specific CD19/CD20 co‐targeting

open access: yesMolecular Oncology, EarlyView.
CARtein is a modular CAR platform that uses split inteins to splice antigen‐recognition modules onto a universal signaling backbone, enabling precise, scarless assembly without re‐engineering signaling domains. Deployed here against CD19 and CD20 in B‐cell malignancies, the design supports flexible multi‐antigen targeting to boost T‐cell activation and
Pablo Gonzalez‐Garcia   +9 more
wiley   +1 more source

icenReg: Regression Models for Interval Censored Data in R

open access: yesJournal of Statistical Software, 2017
The non-parametric maximum likelihood estimator and semi-parametric regression models are fundamental estimators for interval censored data, along with standard fullyparametric regression models.
Clifford Anderson-Bergman
doaj   +1 more source

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