Results 171 to 180 of about 273,096 (313)

At Home Detection of Ovarian Health Biomarker in Menstruation Blood

Advanced Materials Technologies, EarlyView.
A lateral flow assay enables the detection of anti‐Müllerian hormone directly in unprocessed menstrual blood using silica‐gold nanoshells and smartphone‐assisted machine learning analysis. The platform supports decentralized, user‐operated testing in wearable and dipstick formats, highlighting the potential of menstrual blood as a non‐invasive matrix ...
Lucas Dosnon, Thomas Rduch, Salma Sherif Azer, Inge K. Herrmann   +3 more
wiley   +1 more source

Leveraging network motifs to improve artificial neural networks. [PDF]

Nat Commun
Zhang H, Yang CH, Zenil H, Chen PY, Shen Y, Kiani NA, Tegnér JN.   +6 more
europepmc   +1 more source

Soft Robotic Excretory Care Simulator for Nursing Education: Functional and Perceptual Biomimetics Approach

Advanced Robotics Research, EarlyView.
A soft robotic simulator is developed to replicate the digital removal of feces (DRF), a sensitive yet essential nursing procedure. Integrating soft actuators, sensors, and a realistic rectal model, the simulator balances functional fidelity with perceptual realism. Engineering evaluations and nurse feedback confirm its potential to enhance training in
Shoko Miyagawa, Sota Suzuki, Shizuka Watanabe, Zebing Mao, Young Ah Seong, Toshinori Fujie, Tatsuhiro Horii, Kenjiro Tadakuma, Koichi Suzumori, Hiroyuki Nabae, Shingo Maeda   +10 more
wiley   +1 more source

Comparing the Performances of Support Vector Machines and Artificial Neural Networks for Predicting Coronary Artery Diseases: A Cross-Sectional Study. [PDF]

Cardiol Res Pract
Shariatnia S, Rajabi A, Ziaratban M, Salehi A, Vakili M.   +4 more
europepmc   +1 more source

Remote Control of Hand Actuators via Glove Sensors for Medical Care Applications

Advanced Robotics Research, EarlyView.
This study presents a novel textile‐based sensory glove–actuator system for remote medical care, explored through finite element simulations. By integrating capacitive sensors, pneumatic actuators, and machine learning, the system models real‐time hand movement control.
Bahman Taherkhani, Mahdi Bodaghi
wiley   +1 more source

Predicting Liquid Crystal Behavior with Artificial Neural Networks. [PDF]

Micromachines (Basel)
Chattha S, Upreti SR, Chan PK.
europepmc   +1 more source

Elimination of Necking and Aspect Ratio Dependence in Uniaxial Actuators by Continuous Fiber Reinforcement

Advanced Robotics Research, EarlyView.
A novel carbon fiber reinforcement for dielectric elastomer actuators enhances actuation force while decoupling electromechanical performance from the actuator's aspect ratio. Unlike conventional fiber reinforcements, it enables a uniform planar stretch state along the entire actuator.
Markus Koenigsdorff, Stefania Konstantinidi, Anett Endesfelder, Petr Osipov, Johannes Mersch, E.‐F. Markus Vorrath, Martina Zimmermann, Yves Perriard, Gerald Gerlach   +8 more
wiley   +1 more source

The Use of Artificial Neural Networks to Model Selected Strength Parameters of the Giant Miscanthus Stalk. [PDF]

Materials (Basel)
Francik S, Hebda T, Brzychczyk B, Francik R, Ślipek Z.   +4 more
europepmc   +1 more source

Multiobjective Codesign Optimization of a Planar Pneumatic Artificial Muscle‐Based Snake‐Like Robot for Enhanced Agility and Energy Efficiency

Advanced Robotics Research, EarlyView.
A codesign multiobjective optimization framework was developed to enhance the morphology and controller of a snake‐like robot driven by artificial muscles. It improved planar locomotion, agility, and power efficiency. The approach optimized link geometry and controller gains, revealing that shorter muscles near joints and longer linkages maximize ...
Ayla Valles, Mahdi Haghshenas‐Jaryani
wiley   +1 more source

Using artificial neural networks to reveal the human confidence computation. [PDF]

PLoS Comput Biol
Shekhar M, Fung H, Saxena K, Rafiei F, Rahnev D.   +4 more
europepmc   +1 more source