Results 161 to 170 of about 97,243 (265)

Multimodal Multiorgan‐on‐a‐Chip Platform for Probing Liver‐Tumor Interactions and Advancing Prodrug Screening

open access: yesAdvanced Science, EarlyView.
This work introduces a multimodal multi‐OoC platform that overcomes current limitations in liver‐tumor interaction studies and prodrug screening. By integrating dynamic microfluidic circuits, electrochemical sensing, and mass analysis, this platform enables non‐invasive, longitudinal monitoring of drug metabolism and hepatotoxicity, offering a ...
Dan Wang   +10 more
wiley   +1 more source

Temperature‐Resilient Reconfigurable Physical Unclonable Function Driven by Pulse Modulation Using CMOS‐Integrated Spintronic Chips

open access: yesAdvanced Science, EarlyView.
A reconfigurable physical unclonable function is developed using CMOS‐integrated SOT‐MRAM chips, leveraging a dual‐pulse strategy and offering enhanced environmental robustness. A temperature‐compensation effect arising from the CMOS transistor and SOT‐MTJ is revealed and established as a key prerequisite for thermal resilience.
Min Wang   +7 more
wiley   +1 more source

Fosl2 Regulates FSH‐Dependent Follicle Maturation Through Feedback Amplification of FSH/FSHR Signaling

open access: yesAdvanced Science, EarlyView.
This study identifies a FOSL2‐driven positive feedback loop that amplifies FSH/FSHR signaling. During FSH‐dependent follicle maturation, FSH induces Fosl2 expression via the cAMP‐PKA‐CREB cascade. FOSL2 in turn binds the promoters of Fshr and estrogen‐biosynthesis genes to enhance their transcription, thereby increasing Fshr mRNA level and amplifying ...
Hongru Shi   +13 more
wiley   +1 more source

Ultra‐Wide‐Field Noninvasive Imaging Through Scattering Media Via Physics‐Guided Deep Learning

open access: yesAdvanced Science, EarlyView.
We propose a physics‐guided adaptive dual‐domain learning method for ultra‐wide‐field noninvasive imaging through scattering media, namely UNI‐Net. Our method not only reduces the requirement for real experimental data by an order of magnitude but also enables clear imaging of complex scenes with an ultra‐large field of view, which is 164 times the OME
Lintao Peng   +5 more
wiley   +1 more source

A Crack‐Based One‐Dimensional Microspheres Array Enables Thermal–Mechanical Decoupled Dual‐Functional Sensing

open access: yesAdvanced Science, EarlyView.
Inspired by Nostoc, a crack‐based one‐dimensional microspheres array (COMA) sensor is developed, which stabilizes crack geometry under isotropic expansion, enabling a predictable, monotonic thermal response from which true strain can be accurately extracted. The COMA sensor exhibits high sensitivity at ultralow deformation (gauge factor up to 89) and a
Wanqing Xu   +7 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

Lightweight self supervised learning framework for domain generalization in histopathology. [PDF]

open access: yesSci Rep
Shafique A   +6 more
europepmc   +1 more source

SpaMode: A Broadly Applicable Framework for Deciphering Spatial Multi‐Omics Using Multimodal Mixture of Disentangled Experts

open access: yesAdvanced Science, EarlyView.
SpaMode introduces a versatile framework for spatial multi‐omics integration across vertical, horizontal, and mosaic scenarios. By disentangling modality‐invariant and variant features through a mixture‐of‐experts mechanism, it adaptively reconfigures spatially heterogeneous signals.
Xubin Zheng   +6 more
wiley   +1 more source

Continuous assessment of daily-living gait using self-supervised learning of wrist-worn accelerometer data. [PDF]

open access: yesNPJ Digit Med
Brand YE   +13 more
europepmc   +1 more source

Combining Spatial Multi‐Omics Data to Decipher Spatial Domains and Elucidate Cell Heterogeneity Based on Self‐Supervised Graph Learning

open access: yesAdvanced Science, EarlyView.
A self‐supervised multi‐view graph fusion framework integrates spatial multi‐omics, excelling in domain identification and denoising. It reconstructs spatial pseudo‐expression, jointly analyzes multi‐omics data, infers RNA velocity, predicts spatial omics features from single‐cell multi‐omics, and detects spatially dark genes and transcription factors,
Yuejing Lu   +8 more
wiley   +1 more source

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