Results 121 to 130 of about 2,359,523 (296)

High‐Fidelity Synthetic Data Replicates Clinical Prediction Performance in a Million‐Patient Diabetes Cohort

open access: yesAdvanced Science, EarlyView.
This study generates high‐fidelity synthetic longitudinal records for a million‐patient diabetes cohort, successfully replicating clinical predictive performance. However, deeper analysis reveals algorithmic biases and trajectory inconsistencies that escape standard quality metrics. These findings challenge current validation norms, demonstrating why a
Francisco Ortuño   +5 more
wiley   +1 more source

Deep Learning‐Powered Scalable Cancer Organ Chip for Cancer Precision Medicine

open access: yesAdvanced Science, EarlyView.
This scalable, low‐cost Organ Chip platform, made via injection molding, uses capillary pinning for hydrogel confinement and supports versatile tissue coculture and robust imaging. Deep learning enables label‐free, sensitive phenotypic analysis.
Yu‐Chieh Yuan   +24 more
wiley   +1 more source

A Soft Robotic Model for Simulating Heart Valve Disease and Cardiac Interventions

open access: yesAdvanced Science, EarlyView.
This paper introduces a fully synthetic fabrication methodology for a soft robotic, in‐vitro model of the left‐heart, complete with a functioning mitral valve apparatus. With a view towards patient‐specific modeling, we demonstrate physiological flow and pressure waveforms, tunable mitral valve function with clinical imaging compatibility, and its use ...
James Davies   +14 more
wiley   +1 more source

GPCRs in CAR‐T Cell Immunotherapy: Expanding the Target Landscape and Enhancing Therapeutic Efficacy

open access: yesAdvanced Science, EarlyView.
Chimeric antigen receptor T cell therapy faces dual challenges of target scarcity and an immunosuppressive microenvironment in solid tumors. This review highlights how G protein‐coupled receptors can serve as both novel targets to expand the therapeutic scope and functional modules to enhance CAR‐T cell efficacy.
Zhuoqun Liu   +11 more
wiley   +1 more source

Quantitative Stain Mapping in X‐Ray Virtual Histology

open access: yesAdvanced Science, EarlyView.
Virtual histology promises 3D tissue examination without physical sectioning, yet has lacked the tissue‐specificity of conventional pathology. This work demonstrates the first quantitative three‐dimensional stain mapping at histologically relevant resolution, separating contrast agent from tissue to reveal cellular features such as nuclei. The approach
Dominik John   +16 more
wiley   +1 more source

Neural Fields for Highly Accelerated 2D Cine Phase Contrast MRI

open access: yesAdvanced Science, EarlyView.
ABSTRACT 2D cine phase contrast (CPC) MRI provides quantitative information on blood velocity and flow within the human vasculature. However, data acquisition is time‐consuming, motivating the reconstruction of the velocity field from undersampled measurements to reduce scan times. In this work, neural fields are proposed as a continuous spatiotemporal
Pablo Arratia   +7 more
wiley   +1 more source

Learnable Diffusion Framework for Mouse V1 Neural Decoding

open access: yesAdvanced Science, EarlyView.
We introduce Sensorium‐Viz, a diffusion‐based framework for reconstructing high‐fidelity visual stimuli from mouse primary visual cortex activity. By integrating a novel spatial embedding module with a Diffusion Transformer (DiT) and a synthetic‐response augmentation strategy, our model outperforms state‐of‐the‐art fMRI‐based baselines, enabling robust
Kaiwen Deng   +2 more
wiley   +1 more source

Evaporation‐Driven Solutal Marangoni Control of Rayleigh–Taylor Instability in Inverted Films

open access: yesAdvanced Science, EarlyView.
Inverted liquid films, like paint on a ceiling, are inherently unstable under gravity. This work shows that selective evaporation in volatile binary mixtures generates solutal Marangoni stresses that either suppress or amplify the Rayleigh Taylor instability.
Minwoo Choi, Hyejoon Jun, Hyoungsoo Kim
wiley   +1 more source

Adam Miklósi [PDF]

open access: yesCurrent Biology, 2011
openaire   +1 more source

Ultrafast Multilevel Switching and Synaptic Behavior in a Planar Quantum Topological Memristor

open access: yesAdvanced Science, EarlyView.
Dry‐transferred Bi2Te3 layers enable a planar quantum topological memristor framework. In‐plane topological surface states facilitate ultrafast & low‐power operations. Coexisting analog and digital modes support current‐controlled multilevel states. PQTM exhibits 105 s retention, 103 cycles endurance, and reproducibility across 24 devices.
Mamoon Ur Rashid   +12 more
wiley   +1 more source

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