Results 231 to 240 of about 222,810 (285)

Sea Urchin‐Inspired Immuno‐Instructive Ionic Flow Drives MSCs‐Macrophage Communication to Promote Bone Regeneration

Advanced Materials, EarlyView.
ABSTRACT Bone tissue regeneration is a complex physiological process dependent on the spatiotemporal coordination of immune cells and stem cells. Conventional research primarily elucidates the mechanism through which materials facilitate bone formation by initially modulating macrophages and subsequently encouraging the osteogenic differentiation of ...
Yang Lu, Kun Su, Daqian Liu, Chunyu Liu, Muyan Qin, Shuaijie Li, Pengfei Tian, Yansong Wang, Yingbo Wang, Lei Chu, Xu Cui, Haobo Pan   +11 more
wiley   +1 more source

Bioelectrical Interfaces Beyond Excitable Cells: Cancer, Aging, and Gene Expression Modulation

Advanced Materials Interfaces, EarlyView.
ABSTRACT The investigation of biological conductivity has evolved from its classical foundation based on ionic fluxes underpinning cardiac and neuronal excitability to a multifaceted regulator of cellular physiology. Traditional approaches for probing electrical events in living matter focused largely on action potentials recording.
Paolo Cadinu, Matthew K. Burgess, Catarina Franco Jones, Marzia Iarossi, Manuel Schröter, Nako Nakatsuka, Mustafa B. A. Djamgoz, Gil Gonçalves, Sidahmed Abayzeed, Paola Sanjuán‐Alberte, Paula M. Mendes, Frankie J. Rawson, Malavika Nair, Michael Levin, Rosalia Moreddu   +14 more
wiley   +1 more source

A cost-sensitive deep neural network-based prediction model for the mortality in acute myocardial infarction patients with hypertension on imbalanced data. [PDF]

Front Cardiovasc Med
Zheng H, Sherazi SWA, Lee JY.
europepmc   +1 more source

Nanozymes at the Bio‐Nano Interface: From Synthesis, Defect Engineering, Catalytic Behavior in Biological Microenvironments, and Biosafety Implications

Advanced Materials Interfaces, EarlyView.
Nanozymes (NZs) have emerged as versatile artificial enzymes with tunable catalytic properties driven by atomic coordination, defect engineering, and surface chemistry. This review presents a bio–nano interface framework linking synthesis strategies, structural design, and catalytic behavior within complex biological microenvironments.
Karen Guadalupe Quintero‐Garrido, Aída Jimena Velarde‐Salcedo, Alejandro López‐Amador, Noé Arjona, Citlali Uitz Toalá, Carmen Gonzalez, Beatriz Liliana España‐Sánchez   +6 more
wiley   +1 more source

Enhancing deep learning classification performance of tongue lesions in imbalanced data: mosaic-based soft labeling with curriculum learning. [PDF]

BMC Oral Health
Lee SJ, Oh HJ, Son YD, Kim JH, Kwon IJ, Kim B, Lee JH, Kim HK.   +7 more
europepmc   +1 more source

Microfluidic Hydroporation Platform for Effective Allogeneic CAR‐T Cell Production and Subsequent Functional Cytotoxicity Analysis

Advanced Materials Technologies, EarlyView.
The hydroporator platform employs controlled hydrodynamic deformation for efficient mRNA and CRISPR/Cas9 delivery into primary human T cells, enabling allogeneic CAR‐T cell manufacturing. It preserves cell functionality and drives potent gene editing, CAR expression, and tumor cytotoxicity, while feature‐based analysis links these functional outcomes ...
Soohyun Jeon, Sein Kim, Hyun‐Young Kim, Duck Cho, Sungsu Park, Seohyun Kim, Aram J. Chung   +6 more
wiley   +1 more source

An ensemble learning method with GAN-based sampling and consistency check for anomaly detection of imbalanced data streams with concept drift. [PDF]

PLoS One
Liu Y, Wang S, Sui H, Zhu L.
europepmc   +1 more source

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Learning from Imbalanced Data

IEEE Transactions on Knowledge and Data Engineering, 2009
With the continuous expansion of data availability in many large-scale, complex, and networked systems, such as surveillance, security, Internet, and finance, it becomes critical to advance the fundamental understanding of knowledge discovery and analysis from raw data to support decision-making processes. Although existing knowledge discovery and data
Haibo He
exaly   +2 more sources

IIvotes ensemble for imbalanced data

Intelligent Data Analysis, 2012
In the paper we present IIvotes – a new framework for constructing an ensemble of classifiers from imbalanced data. IIvotes incorporates the SPIDER method for selective data pre-processing into the adaptive Ivotes ensemble. Such an integration is aimed at improving balance between sensitivity and specificity (evaluated by the G-mean measure) for the ...
Jerzy Blaszczynski, Magdalena Deckert, Jerzy Stefanowski, Szymon Wilk   +3 more
openaire   +1 more source

Learning in imbalanced relational data

2008 19th International Conference on Pattern Recognition, 2008
Traditional learning techniques learn from flat data files with the assumption that each class has a similar number of examples. However, the majority of real-world data are stored as relational systems with imbalanced data distribution, where one class of data is over-represented as compared with other classes.
Amal Saleh Ghanem, Svetha Venkatesh, Geoff A. W. West   +2 more
openaire   +1 more source