Results 201 to 210 of about 82,111 (284)

Flash Assembloids: A Rapid Biofabrication of a Platform for Modeling Early Glioblastoma Invasion at the Glioblastoma–Brain Organoid Interfaces

Advanced Healthcare Materials, EarlyView.
This study presents a bioengineered assembloid (ASM) system combining glioblastoma (GBM) cells in oxidized alginate (OA) microgels with dorsal organoids (DOs). This model simulates brain tumor‐host interactions, revealing enhanced GBM invasion, altered gene expression, and aggressive infiltration patterns, demonstrating ASM as a valuable platform for ...
Chao Liang, Henry Robert Howard, Shihui Chen, Won‐Young Choi, Summer Cao, Arthur Chien, Kevin Zou, Michael Kassiou, Fabien Delerue, Ho Sang Jung, Yeonju Park, Young Mee Jung, Yong‐Dae Kwon, Karrie M. Kiang, Gilberto Ka‐Kit Leung, Ryohichi Sugimura, Ann‐Na Cho, Sang Jin Lee   +17 more
wiley   +1 more source

A review and comparison of methods of parameter estimation and inference for heteroskedastic linear regression models. [PDF]

J Appl Stat
Farrar T, Blignaut R, Luus R, Steel S.
europepmc   +1 more source

A Systematic Study of GelMA‐Carbopol Bioinks for High‐Fidelity Extrusion 3D Bioprinting at Physiological Temperatures

Advanced Healthcare Materials, EarlyView.
Gonzalez Martinez and collaborators develop a strategy to formulate high performance GelMA‐based bioinks with low solids contents. The resulting bioinks enable 3D bioprinting at 37 °C of high‐fidelity structures with tunable mechanical properties that support high cell viability and function.
David A. González‐Martínez, Aidee V. Arizpe Tafoya, Eduardo González‐Martínez, Mabel Barreiro Carpio, Laura Daniela Serrano Andrade, Christopher T. N. Chow, Mohammadhossein Dabaghi, Jeremy A. Hirota, Jose M. Moran‐Mirabal   +8 more
wiley   +1 more source

Intelligent Orthopedics: Machine Learning in Diagnosis of Bone Disease, Implants, and Bone Health Monitoring

Advanced Healthcare Materials, EarlyView.
Efficient recovery from traumatic or degenerative diseases is a great challenge, even after all the advancements in bone and cartilage regeneration. Machine learning (ML) algorithms have presented opportunities to enhance these aspects by accurately analyzing imaging data.
Maryam Kamaei, Hesam Mohammadi, Shamim Golafshan, Mojtaba Alehosseini, Mahsa Mohammadzadeh, Atefeh Golshirazi, Nasim Golafshan, Tatiane Eufrásio‐da‐Silva, Alireza Dolatshahi‐Pirouz, Gorka Orive   +9 more
wiley   +1 more source

Enhancing Prediction by Incorporating Entropy Loss in Volatility Forecasting. [PDF]

Entropy (Basel)
Urniezius R, Petrauskas R, Vaitkus V, Karimov J, Brazauskas K, Repsyte J, Kacerauskiene E, Harms T, Dargiene J, Ezerskis D.   +9 more
europepmc   +1 more source

Estimation of the adjusted risk difference for very rare events, large samples, and extreme exposure frequency: Application of Vaccine Effectiveness, Networking, and Universal Safety study data. [PDF]

Ann Clin Epidemiol
Sato S, Kawazoe Y, Murata F, Maeda M, Fukuda H.   +4 more
europepmc   +1 more source

Bridging divides or deepening gaps? ICT, quality of life, and the challenge of inclusive development at the intersection of healthcare and human development in South Asia. [PDF]

BMC Public Health
Akbar M, Tang W, Hussain A, Poulova P.
europepmc   +1 more source

Covariance-on-covariance regression. [PDF]

Biometrics
Zhao Y, Zhao Y.
europepmc   +1 more source

A hybrid GPR framework with feature selection for enhanced prediction and explainability of subgrade soil strength. [PDF]

Sci Rep
Bouguedra B, Sandjak K, Ouanani M, Backar AH, Rezk H.   +4 more
europepmc   +1 more source