Results 221 to 230 of about 910,666 (269)

Multimodal data fusion using sparse canonical correlation analysis and cooperative learning: a COVID-19 cohort study. [PDF]

open access: yesNPJ Digit Med
Er AG   +13 more
europepmc   +1 more source

Sono‐Mechanogenetics: Linking Ultrasound Physics With Cellular Mechanobiology

open access: yesAdvanced Science, EarlyView.
Sono‐mechanogenetics links ultrasound physics with cellular mechanotransduction to enable noninvasive control of engineered biological systems. Acoustic forces generate distinct deformation modes that activate intracellular signaling pathways, which can be coupled to synthetic gene circuits to regulate diverse cellular functions, including gene ...
Yunjia Qu   +4 more
wiley   +1 more source

Mechanistic Design of Graphdiyne‐Based Multimodal Sensing Integrating Machine Learning and Photothermal Dynamics for Precision Recognition and On‐Demand Inactivation

open access: yesAdvanced Science, EarlyView.
A triple‐mode theranostic platform enables integrated electrochemical, colorimetric, and photothermal detection of bacterial infection. Glucose oxidation triggers H2O2 generation and TMB oxidation to oxTMB, producing color and thermal signals under 808 nm NIR irradiation.
Jing Xu   +8 more
wiley   +1 more source

DNA Nanoarray for Multiplexed RNA Detection With Single‐Molecule Readout

open access: yesAdvanced Science, EarlyView.
A carrier‐based DNA nanoarray integrates programmable nucleic acid hybridization with solid‐state nanopore readout for direct RNA detection at single‐molecule resolution. A ternary encoding system enables 27 carriers with 81 addressable sensing sites, allowing the simultaneous identification of targets spanning a wide size range, from short microRNAs ...
Yunxuan Li   +12 more
wiley   +1 more source

Recent Advances in Zirconium‐Based Metal–Organic Framework Membranes for Desalination

open access: yesAdvanced Science, EarlyView.
Zirconium‐based metal–organic framework membranes with tunable pore architectures, defect chemistry, and surface functionalities for Desalination are systematically reviewed. Their fabrication strategies, desalination performance across pressure‐driven, forward osmosis, and pervaporation processes, and structure–property–performance relationships are ...
Mao Fu   +7 more
wiley   +1 more source

Giant Conductivity Modulation and Chemical Neuromodulation via Proton‐Electron Coupling in a Hydrogen‐Bonded Coordination Polymer

open access: yesAdvanced Science, EarlyView.
A “de‐doping” strategy positions mixed protonic–electronic conductors (MPECs) as adaptive neuromorphic platforms with dynamically tunable transport. Co‐BAND achieves giant conductivity modulation (>106) and chemically tunable synaptic plasticity. Analogous to biological neuromodulation, solvent vapors dynamically reprogram the device's learning rules ...
Kwangmin Park   +10 more
wiley   +1 more source

Organoid Brain‐Machine‐Interface Devices for Central Nervous System Repair

open access: yesAdvanced Science, EarlyView.
We envision organoid brain‐machine‐interface (Organoid‐BMI) devices as new biohybrid bidirectional communication pathways to connect the human CNS and the external world for personalized CNS repair and regeneration. ABSTRACT Central nervous system (CNS) repair and regeneration suffer from tremendous clinical challenges due to current limitations in ...
Yantao Xing   +10 more
wiley   +1 more source

Engineering Neuronal Network Connectivity Through Precise and Scalable Electrical Modulation

open access: yesAdvanced Science, EarlyView.
This study presents a scalable all‐electrical method for precise neuronal‐circuit reconfiguration based on high‐density microelectrode arrays. By employing biologically inspired plasticity rules, targeted connectivity changes were successfully induced and quantified across diverse neuronal preparations.
Sreedhar S. Kumar   +10 more
wiley   +1 more source

Memristive Physical Reservoir Computing

open access: yesAdvanced Science, EarlyView.
Memristors’ nonlinear dynamics and input‐dependent memory effects make them ideal candidates for high‐performance physical reservoir computing (RC). Based on their conductance modulation, memristors can be classified as electronic or optoelectronic types.
Dian Jiao   +9 more
wiley   +1 more source

Decoupling Intrinsic Molecular Efficacy From Platform Effects: An Interpretable Machine Learning Framework for Unbiased Perovskite Passivator Discovery

open access: yesAdvanced Science, EarlyView.
This study establishes an interpretable machine learning framework that disentangles the intrinsic molecular efficacy of passivators from experimental platform effects—enabling unbiased, high‐throughput discovery of effective perovskite surface modifiers.
Jing Zhang   +5 more
wiley   +1 more source

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