A Guide for Spatial Omics Technologies: Innovation, Evaluation, and Application
This review presents a strategy‐centric framework for spatial omics technologies, organizing methods by how spatial information is experimentally encoded. It compares key performance trade‐offs across sequencing‐ and imaging‐based approaches, examines computational and practical limitations, and highlights biomedical applications. The analysis provides
Xiaofeng Wu +5 more
wiley +1 more source
Research Progress in Intelligent Monitoring of Livestock, Poultry, and Aquaculture. [PDF]
Xue Y, Gan H.
europepmc +1 more source
Drawdown-Aware Deep Learning for Algorithmic Trading During Market Stress
Subhasish Halder
openalex +1 more source
Ammonia Detoxification Inhibits Liver Metastasis by Reshaping Hepatic Microenvironment
Liver metastasis diverts aspartate into hyperactive pyrimidine synthesis, disrupting urea cycling and causing pathogenic ammonia accumulation. Ammonia dually reprograms the microenvironment by: (1) activating hepatic stellate cells (HSCs) into pro‐fibrotic metastasis‐associated fibroblasts (MAFs), and (2) suppressing anti‐tumor monocytes/macrophages ...
Sumin Sun +5 more
wiley +1 more source
Emotional AI and the rise of pseudo-intimacy: are we trading authenticity for algorithmic affection? [PDF]
Babu J +5 more
europepmc +1 more source
Machine‐Learning Microfluidic Minute‐Scale Microorganism Metrics Monitoring(M6)
ABSTRACT On‐site monitoring of microorganisms remains challenging because of low concentrations, strong background interference, and dynamic aerosol diffusion, particularly for aerosol‐transmitted pathogens. Here, we report a rapid detection platform that integrates a Puri‐focusing microfluidic chip, electrochemical impedance spectroscopy (EIS), and ...
Ning Yang +14 more
wiley +1 more source
Artificial intelligence and hearing health: a global evidence review of biases and equity implications for Africa. [PDF]
Khoza-Shangase K.
europepmc +1 more source
An Integrated NLP‐ML Framework for Property Prediction and Design of Steels
This study presents a data‐driven framework that uses language‐processing techniques to interpret steel processing descriptions and machine‐learning models to predict mechanical properties. By organising complex process histories into meaningful groups and enabling rapid property forecasts, the work supports faster, more informed steel design through ...
Kiran Devraju +5 more
wiley +1 more source
Bacterial Outer Membrane Vesicles in Potentiating Cancer Vaccines: Progress and Prospects
Bacterial outer membrane vesicles (OMVs) have emerged as versatile platforms for cancer vaccine development owing to their intrinsic immunostimulatory properties and high engineering flexibility. This review summarizes OMV biology, immune mechanisms, and engineering strategies that enhance vaccine efficacy, discusses key translational challenges, and ...
Jiabeini Zhang +9 more
wiley +1 more source

