Results 211 to 220 of about 2,148,018 (281)

Longitudinal changes in telomere length and associated genetic parameters in dairy cattle analysed using random regression models. [PDF]

PLoS One, 2018
Seeker LA, Ilska JJ, Psifidi A, Wilbourn RV, Underwood SL, Fairlie J, Holland R, Froy H, Bagnall A, Whitelaw B, Coffey M, Nussey DH, Banos G.   +12 more
europepmc   +1 more source

Microporous Microgel Assemblies Facilitating the Recruitment and Osteogenic Differentiation of Progenitor Cells for Bone Regeneration

Advanced Functional Materials, EarlyView.
There is a significant need for biomaterials with well‐defined stability and bioactivity to support tissue regeneration. In this study, we developed a tunable microgel platform that enables the decoupling of stiffness from porosity, thereby promoting bone regeneration.
Silvia Pravato, Haishuo Guan, Bianca M. Carrara, Mira Jacobs, Matteo Monticelli, Lukas Moser, Thomas Moragues, Andrew J. deMello, Tomaso Zambelli, Martin Ehrbar   +9 more
wiley   +1 more source

Genetic structured antedependence and random regression models applied to the longitudinal feed conversion ratio in growing Large White pigs. [PDF]

J Anim Sci, 2017
Huynh-Tran VH, Gilbert H, David I.
europepmc   +1 more source

Consumed by Abdominal Distention

Arthritis Care &Research, Accepted Article.
Abimbola Fadairo‐Azinge, James Grenert, Brian Haas, Mary Margaretten   +3 more
wiley   +1 more source

Self‐Immolative Activatable Nanoassembly toward Immuno‐Photodynamic Therapy in TME

Advanced Functional Materials, EarlyView.
A quinone methide‐gated, self‐immolative, H2O2‐responsive nano‐photosensitizer (Pyz/PS) is developed for targeted immuno‐photodynamic therapy. Pyz/PS selectively activates within tumor microenvironments, restores photosensitizer activity, generates ROS, and depletes intracellular GSH, enhancing oxidative stress.
Jing Li, E Pang, Snehasish Debnath, Jia Hong, Aojun Qiu, Dongeun Kim, Goeun Kim, Minhuan Lan, Min‐Goo Lee, Qian‐Yong Cao, Jong Seung Kim   +10 more
wiley   +1 more source

Genome-wide random regression analysis for parent-of-origin effects of body composition allometries in mouse. [PDF]

Sci Rep, 2017
Zhao J, Li S, Wang L, Jiang L, Yang R, Cui Y.   +5 more
europepmc   +1 more source

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

Advanced Functional Materials, EarlyView.
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore, Cristiano Pesce, Antonietta Greco, Claudia Pisante, Greta Avancini, Valentina Di Francesco, Yosi Shamay, Paolo Decuzzi   +7 more
wiley   +1 more source

Modelling heterogeneity among fitness functions using random regression. [PDF]

Methods Ecol Evol, 2016
Reynolds RJ, de Los Campos G, Egan SP, Ott JR.   +3 more
europepmc   +1 more source

A Smart Bio‐Battery Facilitates Diabetic Bone Defect Repair Via Inducing Macrophage Reprogramming and Synergistically Modulating Bone Remodeling Coupling

Advanced Functional Materials, EarlyView.
This research presents a novel implantable bio‐battery, GF‐OsG, tailored for diabetic bone repair. GF‐OsG generates microcurrents in high‐glucose conditions to enhance vascularization, shift macrophages to the M2 phenotype, and regulate immune responses.
Nanning Lv, Haifu Sun, Wenxiang Tang, Yonggang Li, Zhonglai Qian, Lihui Hong, Chong Chen, Hongye Li, Jiaxiang Bai, Yusen Qiao, Mingming Liu   +10 more
wiley   +1 more source

Incorporating the single-step strategy into a random regression model to enhance genomic prediction of longitudinal traits. [PDF]

Heredity (Edinb), 2017
Kang H, Zhou L, Mrode R, Zhang Q, Liu JF.   +4 more
europepmc   +1 more source