Results 111 to 120 of about 1,863,416 (267)

A Hybrid Bioprinting–Microfabrication Approach to Controllable Multitype Spheroid Arrays for Modeling Tumor Heterogeneity

open access: yesAdvanced Healthcare Materials, EarlyView.
This work introduces a “cancer‐in‐a‐well” technology that recreates tumor heterogeneity in vitro using multitype spheroid arrays. Combining bioprinting/microdispensing with microstructured culture devices, the system improves drug screening and modeling of tumor complexity.
Simone Bonetti   +10 more
wiley   +1 more source

Advances in 3D Bioprinting for Breast Cancer Modeling: Tumor Microenvironment, Metastasis, and Drug Screening

open access: yesAdvanced Healthcare Materials, EarlyView.
Three‐dimensional bioprinting transforms breast cancer modeling from simple constructs into spatially organized, multicellular, perfused, and patient‐derived platforms. This review shows how bioinks, cellular composition, architecture, and flow govern tumor behavior and drug response, while revealing why complexity alone is insufficient without ...
Mustafa Nakipoglu   +7 more
wiley   +1 more source

Functional MRI Assessment of Brain Activity Patterns Associated with Reading in Medulloblastoma Survivors

open access: yesBrain Sciences
Medulloblastoma, a malignant brain tumor primarily affecting children, poses significant challenges to patients and clinicians due to its complex treatment and potential long-term cognitive consequences.
Josue L. Dalboni da Rocha   +6 more
doaj   +1 more source

Mobile Integrated Cognitive Kit (MICK): Digitized Rapid Automatized Naming (RAN) for Concussion on the Sideline

open access: yes, 2022
Neurologic disorders like concussion may require rapid testing in multiple settings, including the sideline. Since visual symptoms are common following concussion, sensitive, specific and widely available visual performance measures are needed.
Scott Grossman; George Park; Lisena Hasanaj; John Ross Rizzo; Todd Hudson; Marc Balcer; Janet Rucker; Steven Galetta; Laura Balcer
core  

Development of the rapid automatized naming tests

open access: yes, 2020
The aim of the study was to adapt the four subtests of Rapid AutomatizedNaming Tests (RAN) for Turkish children aged five to ten years and to establish thevalidity and reliability of the tests for the same population. The participants were 277students ranging from kindergarten to the fifth grade.
openaire   +1 more source

Rapid Automatized Naming Tasks: Screening Reading Difficulty

open access: yes, 2017
The aim of this study was to analyze the rapid automatized naming (RAN)’s accuracy for identifying studentsat risk/not at risk for reading difficulty. Two hundred and thirteen children performed the RAN tasks when they were in the last year of Kindergarten and 174 among them, accomplished the reading task when they were in the first grade of Elementary
Justi, Cláudia Nascimento Guaraldo   +1 more
openaire   +2 more sources

Optimal Control Drives Ultrafast and Energy‐Efficient Magnetization Switching in Van der Waals Magnets

open access: yesAdvanced Materials, EarlyView.
ABSTRACT The accelerating expansion of data‐centric technologies is sharply increasing the energy burden of information storage, placing unprecedented pressure on the efficiency of magnetic switching. Conventional field‐driven reversal, once the foundation of magnetic memory, has become impractical in modern architectures due to its high energy cost ...
Mohammad H. Badarneh   +2 more
wiley   +1 more source

Rapid automatized naming (RAN): effects of aging on a predictor of reading skill. [PDF]

open access: yesNeuropsychol Dev Cogn B Aging Neuropsychol Cogn, 2021
Gordon PC, Islam AT, Wright HH.
europepmc   +1 more source

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

open access: yesAdvanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena   +3 more
wiley   +1 more source

Data‐Driven Materials Science for Energy‐Sustainable Applications

open access: yesAdvanced Materials, EarlyView.
Data‐driven approaches powered by artificial intelligence are transforming materials discovery for energy sustainability. This review examines how auto‐generated high‐quality materials databases and domain‐specific language models accelerate research in photovoltaics, thermoelectrics, batteries and magnetic materials. Applications involve extraction of
Jacqueline M. Cole
wiley   +1 more source

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