Results 191 to 200 of about 93,826 (250)

Real‐Time Force Monitoring of Electrically Stimulated 3D‐Bioengineered Muscle Bioactuators Using Organic Sensors with Tunable Sensitivity

Advanced Intelligent Systems, EarlyView.
The integration of sensing elements in bioengineered actuators is key to obtain real‐time information about their performance and further control/automation. By coupling flexible organic field‐effect transistor to a skeletal muscle actuator we demonstrate the feasibility to record in real‐time its contractile behavior when stimulated by electrical ...
Stefano Lai, Judith Fuentes, Maria Guix, Giulia Casula, Piero Cosseddu, Samuel Sánchez   +5 more
wiley   +1 more source

Logic-based mechanistic machine learning on high-content images reveals how drugs differentially regulate cardiac fibroblasts. [PDF]

Proc Natl Acad Sci U S A
Nelson AR, Christiansen SL, Naegle KM, Saucerman JJ.   +3 more
europepmc   +1 more source

Tiling Robotics: A New Paradigm of Shape‐Morphing Reconfigurable Robots

Advanced Intelligent Systems, EarlyView.
Tiling robotics is a novel paradigm of shape‐morphing reconfigurable robots, defining them as polyform‐inspired machines capable of transforming between at least two polymorphic shapes. Various reconfiguration‐enabling and locomotion mechanisms of tiling robots are comparatively analyzed, with the electromechanical developments, along with a proposed ...
S. M. Bhagya P. Samarakoon, M. A. Viraj J. Muthugala, Mohan Rajesh Elara   +2 more
wiley   +1 more source

Advancements in Machine Learning for Microrobotics in Biomedicine

Advanced Intelligent Systems, EarlyView.
Microrobotics is an innovative technology with great potential for noninvasive medical interventions. However, controlling and imaging microrobots pose significant challenges in complex environments and in living organisms. This review explores how machine learning algorithms can address these issues, offering solutions for adaptive motion control and ...
Amar Salehi, Soleiman Hosseinpour, Nasrollah Tabatabaei, Mahmoud Soltani Firouz, Niloufar Zadebana, Richard Nauber, Mariana Medina‐Sánchez   +6 more
wiley   +1 more source

Deep Learning‐Coupled Metabolic Heat Integrated Sensing System for Noninvasive Continuous Monitoring of Blood Glucose

Advanced Intelligent Systems, EarlyView.
A portable, wearable device based on metabolic heat integrated sensing and deep learning enables continuous blood glucose (BG) monitoring. The system uses a gate recurrent unit model for real‐time BG prediction, achieving accuracy comparable to commercial noninvasive meters.
Haolin Wang, Chuanjie Yao, Zhibo Liu, Xinze Wang, Zhengjie Liu, Tao Zhang, Xinshuo Huang, LinGe Wang, Yuedan Wang, Gemin Xiao, Shady Farah, Hui‐jiuan Chen, Xi Xie   +12 more
wiley   +1 more source

Computed Tomography Imaging of Thoracic Aortic Surgery: Distinguishing Life-Saving Repairs from Life-Threatening Complications. [PDF]

J Imaging
Fogante M, Esposto Pirani P, Cela F, Alfonsi J, Tagliati C, Balardi L, Argalia G, Di Eusanio M, Schicchi N.   +8 more
europepmc   +1 more source

Energy‐Efficient Hardware Implementation of Spiking‐Restricted Boltzmann Machines Using Pseudo‐Synaptic Sampling

Advanced Intelligent Systems, EarlyView.
In this article, an energy‐efficient hardware implementation of spiking‐restricted Boltzmann machines using the pseudo‐synaptic sampling (PS2) method is presented. In the PS2 method, superior area and energy efficiency over previous approaches, such as the random walk method, are demonstrated, achieving a 94.94% reduction in power consumption during on‐
Hyunwoo Kim, Suyeon Jang, Uicheol Shin, Masatoshi Ishii, Atsuya Okazaki, Megumi Ito, Akiyo Nomura, Kohji Hosokawa, Sungmin Lee, Matthew BrightSky, Sangbum Kim   +10 more
wiley   +1 more source

Interactive Haptic System with Multimodal Tactile Sensing and Hydraulic Feedback for Realistic Human–Machine Interaction

Advanced Intelligent Systems, EarlyView.
An interactive haptic system combining a robotic hand with a wearable tactile feedback device is presented. Driven by vision recognition, the robotic hand captures force and temperature data using multiple sensors and transmits the feedback to the user via hydraulic actuation.
Jingu Jeong, Mingyu Kang, Youngsup Song, Soonjae Pyo   +3 more
wiley   +1 more source

Transfer learning reveals sequence determinants of the quantitative response to transcription factor dosage. [PDF]

Cell Genom
Naqvi S, Kim S, Tabatabaee S, Pampari A, Kundaje A, Pritchard JK, Wysocka J.   +6 more
europepmc   +1 more source