Results 111 to 120 of about 244,916 (294)
Advanced Science, EarlyView.An in situ dual‐mode platform integrates fusogenic liposomes with localized autocatalytic DNA circuits for plasma‐derived extracellular vesicle microRNA analysis. Following membrane fusion, target miRNAs trigger feedback‐assisted LECHA amplification inside intact vesicles, generating fluorescence and electrochemical outputs. Machine learning integrates
Wenbin Li +15 more
wiley +1 more source
Advanced Science, EarlyView.This review presents the research advances of adaptive conductive systems from the perspective of materials, circuits, systems, and applications. Deformable conductors consist of substrates/matrices and conductive materials, structural design of circuit interconnections, fabrication of circuit interconnections, as well as intelligent systems ...
Yufei Lu +7 more
wiley +1 more source
Advanced Science, EarlyView.By merging centrifugal microfluidics, precise temperature control, and AI image recognition, T‐PhaseMap transforms biomolecular condensate phase mapping into a rapid, temperature‐resolved workflow. It generates 3D composition–temperature phase diagrams within 30 min, resolves four phase states, and uncovers temperature‐dependent heparin sodium ...
Jiashuo Li +6 more
wiley +1 more source
Advanced Science, EarlyView.MethyAnno enables robust and interpretable annotation of single‐cell DNA methylation data by integrating multi‐scale epigenetic information, bidirectional cross‐attention, and prototype‐based metric learning. The framework resolves rare and novel cell types across datasets while revealing cell‐type‐specific epigenetic signatures associated with disease
Yuhang Jia +4 more
wiley +1 more source
SVM-Maj: a majorization approach to linear support vector machines with different hinge errors [PDF]
Support vector machines (SVM) are becoming increasingly popular for the prediction of a binary dependent variable. SVMs perform very well with respect to competing techniques. Often, the solution of an SVM is obtained by switching to the dual.
Groenen, P.J.F. +2 more
core
, 2016 Knowledge of protein function is important for biological, medical and therapeutic studies, but many proteins are still unknown in function. There is a need for more improved functional prediction methods.
Lin Tao (4236) +12 more
core +1 more source
Advanced Science, EarlyView.A multiscale computational framework links single‐nanoparticle magnetoelectric behavior to tissue‐level electric field distributions, integrating experimental data from nanoparticle characterization and in vitro stimulation setups. Applied to a cortical slice configuration, the framework predicts optimal MENP concentrations and stimulation parameters ...
Marta Bonato +10 more
wiley +1 more source
Advanced Science, EarlyView.This review systematically bridges chronic wound pathology with natural phytochemical hydrogel therapeutics. A pathology‐to‐phytochemical mechanistic mapping framework is established, linking specific wound hallmarks to targeted phytochemical interventions.
Yitao Zhou +8 more
wiley +1 more source
Smart Bioinks for 4D Bioprinting: Requirements, Design, and Applications
Advanced Science, EarlyView.Smart bioinks empower 4D‐bioprinted constructs to dynamically adapt and remodel in response to stimuli, effectively biomimicking native tissues. Artificial Intelligence (AI) and Machine Learning (ML) play a guiding role in their rational design by optimizing relevant properties.
Shangsi Chen +11 more
wiley +1 more source
Efficient intrusion detection scheme based on SVM
, 2013 The network intrusion detection problem is the focus of current academic research. In this paper, we propose to use Support Vector Machine (SVM) model to identify and detect the network intrusion problem, and simultaneously introduce a new optimization ...
Zhou, Guangping, Shrestha, Anup
core +1 more source