A polymeric graft loaded with radiopaque bismuth nanoparticles is expected to undergo gradual polymer resorption and nanoparticle release. This design enables noninvasive, multimodal monitoring of device integrity, patency, and degradation using computed tomography alongside ultrasound and photoacoustic imaging over 12 weeks.
Allan John R. Barcena +13 more
wiley +1 more source
Artificial Intelligence in Food-Nutrition-Health Research: From Multimodal Data Integration to Precision Intervention. [PDF]
Wu X, Feng J.
europepmc +1 more source
Stretchable Microelectrode Arrays for Electro‐Mechanical Probing of Brain Spheroids
A multimodal device featuring kirigami‐patterned stretchable microelectrode arrays enables concurrent mechanical actuation and electrophysiological recording of brain spheroids. The platform supports multiple loading regimes and reveals mechanically induced modulation of spontaneous network activity in 3D neural tissue models.
Eleonora Martinelli +17 more
wiley +1 more source
A review of deep learning-based multimodal data integration of lung cancer. [PDF]
Qin Y +7 more
europepmc +1 more source
Bioinspired Adaptive Sensors: A Review on Current Developments in Theory and Application
This review comprehensively summarizes the recent progress in the design and fabrication of sensory‐adaptation‐inspired devices and highlights their valuable applications in electronic skin, wearable electronics, and machine vision. The existing challenges and future directions are addressed in aspects such as device performance optimization ...
Guodong Gong +12 more
wiley +1 more source
Literature-informed gene extraction and ranking for multimodal data fusion. [PDF]
Hamberger M +3 more
europepmc +1 more source
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj +8 more
wiley +1 more source
An interpretable learning framework for exploring superelastic degradation of NiTi shape memory alloys using multimodal data. [PDF]
Hu Y +6 more
europepmc +1 more source
Data‐Driven Materials Science for Energy‐Sustainable Applications
Data‐driven approaches powered by artificial intelligence are transforming materials discovery for energy sustainability. This review examines how auto‐generated high‐quality materials databases and domain‐specific language models accelerate research in photovoltaics, thermoelectrics, batteries and magnetic materials. Applications involve extraction of
Jacqueline M. Cole
wiley +1 more source
A deep learning framework for emotion recognition in music using multimodal data fusion. [PDF]
Li R.
europepmc +1 more source

