Results 261 to 270 of about 18,501 (320)

Integrating Aggregate Materials and Machine Learning Algorithms: Advancing Detection of Pathogen‐Derived Extracellular Vesicles

open access: yesAggregate, EarlyView.
Pathogen‐derived extracellular vesicle detection: theoretical insights and advanced methodologies: This review explores the theoretical foundations and practical applications of pEV detection, emphasizing the challenges and innovative strategies involving novel aggregate materials and machine learning for enhanced diagnostic accuracy.
Lihan Lai   +6 more
wiley   +1 more source

Designed Biomaterial‐Enhanced Cell Transplantation for Neural Tissue Engineering

open access: yesAggregate, EarlyView.
Biomaterials offer a promising solution for cell transplantation in the central nervous system by creating a protective environment that enhances cell survival, integration, and functional recovery in preclinical models of neurological disorders. ABSTRACT Cell transplantation therapy in the central nervous system is hindered by limited survival and ...
Yun Tang   +3 more
wiley   +1 more source

Harnessing Deep Learning of Point Clouds for Morphology Mimicking of Universal 3D Shape‐Morphing Devices

open access: yesAdvanced Intelligent Systems, EarlyView.
Soft robots capable of morphing into various 3D shapes are crucial for applications like human‐machine interfaces and biological manipulation. However, controlling 3D shape‐morphing robots with soft actuators remains a challenge. This work introduces a machine learning model that maps complex 3D deformations to control inputs, enabling robots to mimic ...
Jue Wang   +3 more
wiley   +1 more source

Disentangling Contact Location for Stretchable Tactile Sensors from Soft Waveguide Ultrasonic Scatter Signals

open access: yesAdvanced Intelligent Systems, EarlyView.
This article proposes a novel data‐driven approach for force contact location sensing (FCLS), based on scatter signals of the ultrasonic waveguide, with the influence of sensor strain and forces. The experimental results indicate that the accuracy of the proposed FCLS method has an mean absolute error loss of 0.627 mm and a mean relative error loss of ...
Zhiheng Li   +3 more
wiley   +1 more source

Effective Acoustic Model-Based Beamforming Training for Static and Dynamic Hri Applications. [PDF]

open access: yesSensors (Basel)
Luzanto A   +5 more
europepmc   +1 more source

Spatial–Texture Hybrid MRI Model for Orbital Lymphoma Typing

open access: yesAdvanced Intelligent Systems, EarlyView.
This article first proposes a hybrid magnetic resonance imaging model to discern between mucosa‐associated lymphoid tissue (MALT) and non‐MALT orbital lymphomas using spatial and texture features, achieving high accuracy. It enhances diagnostic capabilities and aids clinical decision‐making in a cost‐effective and time‐efficient manner.
Lunhao Li   +5 more
wiley   +1 more source

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