Enhancing head and neck tumor management with artificial intelligence: Integration and perspectives

NN Zhong, HQ Wang, XY Huang, ZZ Li, LM Cao… - Seminars in Cancer …, 2023 - Elsevier
Head and neck tumors (HNTs) constitute a multifaceted ensemble of pathologies that
primarily involve regions such as the oral cavity, pharynx, and nasal cavity. The intricate …

2D materials in flexible electronics: recent advances and future prospectives

AK Katiyar, AT Hoang, D Xu, J Hong, BJ Kim… - Chemical …, 2023 - ACS Publications
Flexible electronics have recently gained considerable attention due to their potential to
provide new and innovative solutions to a wide range of challenges in various electronic …

[HTML][HTML] AI-enabled organoids: Construction, analysis, and application

L Bai, Y Wu, G Li, W Zhang, H Zhang, J Su - Bioactive Materials, 2024 - Elsevier
Organoids, miniature and simplified in vitro model systems that mimic the structure and
function of organs, have attracted considerable interest due to their promising applications in …

Machine learning facilitating the rational design of nanozymes

Y Li, R Zhang, X Yan, K Fan - Journal of Materials Chemistry B, 2023 - pubs.rsc.org
As a component substitute for natural enzymes, nanozymes have the advantages of easy
synthesis, convenient modification, low cost, and high stability, and are widely used in many …

Unleashing the potential of AI for pathology: challenges and recommendations

A Asif, K Rajpoot, S Graham, D Snead… - The Journal of …, 2023 - Wiley Online Library
Computational pathology is currently witnessing a surge in the development of AI
techniques, offering promise for achieving breakthroughs and significantly impacting the …

[HTML][HTML] Big data and artificial intelligence in cancer research

X Wu, W Li, H Tu - Trends in Cancer, 2024 - cell.com
The field of oncology has witnessed an extraordinary surge in the application of big data and
artificial intelligence (AI). AI development has made multiscale and multimodal data fusion …

Slideflow: deep learning for digital histopathology with real-time whole-slide visualization

JM Dolezal, S Kochanny, E Dyer, S Ramesh… - BMC …, 2024 - Springer
Deep learning methods have emerged as powerful tools for analyzing histopathological
images, but current methods are often specialized for specific domains and software …

Revolutionizing digital pathology with the power of generative artificial intelligence and foundation models

A Waqas, MM Bui, EF Glassy, I El Naqa… - Laboratory …, 2023 - Elsevier
Digital pathology has transformed the traditional pathology practice of analyzing tissue
under a microscope into a computer vision workflow. Whole slide imaging allows …

Accurate and Convenient Lung Cancer Diagnosis through Detection of Extracellular Vesicle Membrane Proteins via Förster Resonance Energy Transfer

S Xiao, Y Yao, S Liao, B Xu, X Li, Y Zhang, L Zhang… - Nano Letters, 2023 - ACS Publications
Tumor-derived extracellular vesicles (EVs) are promising to monitor early stage cancer.
Unfortunately, isolating and analyzing EVs from a patient's liquid biopsy are challenging. For …

Harnessing oncology real-world data with AI

P Mahon, G Hall, A Dekker, J Vehreschild, G Tonon - Nature Cancer, 2023 - nature.com
Real-world data (RWD) and real-world evidence (RWE) from heterogeneous data sources
has the potential to transform oncology research, especially when coupled with artificial …