Results 211 to 220 of about 246,202 (334)
Can we use artificial intelligence to better treat acute kidney injury? [PDF]
Greet De Vlieger +2 more
openalex +1 more source
Bioinspired Engineering beyond Homeostasis
This perspective article introduces systems biology as the unifying theoretical framework behind bioinspired engineering. As an example, it explores how disruptions in multiscale biological systems, associated with pathological states, can be viewed as localized failure modes of biological cooperation showing emergent advantages that can inspire ...
Rosalia Moreddu
wiley +1 more source
Robotic Needle Steering for Percutaneous Interventions: Sensing, Modeling, and Control
This review examines recent advances in robotic needle steering for percutaneous interventions, highlighting closed‐loop sensing, physics‐informed tissue‐needle interaction modeling, and real‐time trajectory planning and control. It synthesizes innovations in deep learning, fiber‐optic feedback, and adaptive control strategies, and outlines emerging ...
Fangjiao Zhao +5 more
wiley +1 more source
A Robotic Urinary Bladder Enabling Volume Monitoring and Assisted Micturition
An implantable robotic bladder is presented that can store urine in an origami‐designed enclosure. An inductance sensing principle can monitor and transfer the urine volume in real‐time. It can actively expand based on the amount of urine collected from kidneys and apply on‐demand mechanical compression to assist urination.
Izadyar Tamadon +4 more
wiley +1 more source
Leveraging spinning‐induced localized suction, the spinner device enables ultra‐efficient removal of kidney stone fragments, capturing a larger quantity of fragments from distances exceeding 20 mm. The spinner significantly improves the efficiency and effectiveness of stone fragment removal by reducing operative time, increasing stone‐free rates, and ...
Yilong Chang +3 more
wiley +1 more source
#2277 Artificial Intelligence for predicting heart failure in chronic kidney disease: analysis of a 5000-patient cohort [PDF]
José Ibeas +8 more
openalex +1 more source
A 3D holotomography system coupled with a deep learning model distinguishes how cells die—apoptosis, necroptosis or necrosis—without any fluorescent labels. Training on refractive index maps of HeLa cells yields 97% accuracy and flags necroptosis hours before chemical dyes.
Minwook Kim +8 more
wiley +1 more source
gnSPADE integrates gene‐network structures into a probabilistic topic modeling framework to achieve reference‐free cell‐type deconvolution in spatial transcriptomics. By embedding gene connectivity within the generative process, gnSPADE enhances biological interpretability and accuracy across simulated and real datasets, revealing spatial organization ...
Aoqi Xie, Yuehua Cui
wiley +1 more source

