An Integrated Artificial Intelligence Framework for Nanomedicine Engineering
Advanced Science, EarlyView.This review outlines a closed‐loop AI ecosystem for nanomedicine engineering. By synergizing multimodal data harmonization, objective‐driven AI architectures, and automated high‐throughput validation, this “Design‐Make‐Test‐Analyze” (DMTA) workflow transforms traditional heuristic formulation into a predictive, self‐optimizing paradigm, accelerating ...
Meichen Dong +10 more
wiley +1 more source
A Biomimetic Solvatochromic Chip With Optimized Chemical Diversity for On‐Site Liquid Identification
Advanced Science, EarlyView.A compact biomimetic photonic‐gustatory chip uses Hansen‐solubility‐parameter‐guided solvatochromic disks to create distinct color patterns in organic liquids. An optimized four‐disk array distinguishes solvent types, ratios, homologues, isomers, and alcoholic beverages. Coupled with smartphone imaging and deep learning, it identifies 80 liquid classes
Jintao Zhang +9 more
wiley +1 more source
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
In this work, we are interested in generalizing convolutional neural networks (CNNs) from low-dimensional regular grids, where image, video and speech are represented, to high-dimensional irregular domains, such as social networks, brain connectomes or ...
Bresson, Xavier +2 more
core
Massively Multiplexed Photonic Chip With Cross‐Channel Fusion For Harmonized Biosensing
Advanced Science, EarlyView.We introduce a transformative sensing platform integrating photonic multiplexing with over 10 000 sensors and a deep‐learning framework that combines domain adaptation and cross‐channel fusion for harmonized operation across heterogeneous chips. The platform achieves 99.3% identification accuracy and relative prediction errors of 10−4$^{-4}$ for ...
Ivan Saetchnikov +3 more
wiley +1 more source
A Web-Based Facial Recognition Application Using Convolutional Neural Networks (CNNs) [PDF]
Ovidius University Annals: Economic Sciences SeriesFacial recognition has become one of the most fascinating areas of applied artificial intelligence, particularly due to its ability to connect human perception with machine-level precision.
Dragos Mitroescu +2 more
doaj
Patient‐Derived Glioblastoma Organoids for AI‐Guided Prediction of Therapeutic Response
Advanced Science, EarlyView.Patient‐derived glioblastoma organoids provide clinically relevant models that preserve tumor heterogeneity and enable integrated AI‐driven analysis of imaging, molecular, and treatment‐response data. Their convergence with advanced analytics supports predictive, personalized therapeutic strategies and may accelerate translation from patient‐specific ...
Sandbhor Puja +15 more
wiley +1 more source
Study of the Application of Deep Convolutional Neural Networks (CNNs) in Processing Sensor Data and Biomedical Images. [PDF]
Sensors (Basel), 2019 Hu W, Zhang Y, Li L.
europepmc +1 more source
This study investigates the task of identifying musical instruments in polyphonic compositions using Convolutional Neural Networks (CNNs) from spectrogram inputs, focusing on binary classification. The model showed promising results, with an accuracy of
Ghobakhlou, Ali +2 more
core
Low Frequency Ultrasonic Voice Activity Detection using Convolutional Neural Networks [PDF]
Low frequency ultrasonic mouth state detection uses reflected audio chirps from the face in the region of the mouth to determine lip state, whether open, closed or partially open.
Song, Yan, McLoughlin, Ian Vince
core
Physics‐Guided Multi‐Channel Restoration for Efficient and Accurate Atomic Force Microscopy Imaging
Advanced Science, EarlyView.Schematic figure of restoring noisy atomic force micrscopy (AFM) image via physics‐guided multi‐channel restoration. The lighter neural network models with multiple‐channel input from auxiliary signals outperforms heavier model with single‐channel input.
Jaeuk Sung +13 more
wiley +1 more source