Multimodal data fusion for cancer biomarker discovery with deep learning

S Steyaert, M Pizurica, D Nagaraj… - Nature machine …, 2023 - nature.com
Technological advances have made it possible to study a patient from multiple angles with
high-dimensional, high-throughput multiscale biomedical data. In oncology, massive …

Lung adenocarcinoma tumor origin: a guide for personalized medicine

L Seguin, M Durandy, CC Feral - Cancers, 2022 - mdpi.com
Simple Summary Lung cancer is the leading cause of cancer-related death worldwide, with
an average 5-year survival rate of approximately 15%. Among the multiple histological type …

[HTML][HTML] Deep learning classification of lung cancer histology using CT images

TL Chaunzwa, A Hosny, Y Xu, A Shafer, N Diao… - Scientific reports, 2021 - nature.com
Tumor histology is an important predictor of therapeutic response and outcomes in lung
cancer. Tissue sampling for pathologist review is the most reliable method for histology …

Non-small-cell lung cancers: a heterogeneous set of diseases

Z Chen, CM Fillmore, PS Hammerman, CF Kim… - Nature Reviews …, 2014 - nature.com
Non-small-cell lung cancers (NSCLCs), the most common lung cancers, are known to have
diverse pathological features. During the past decade, in-depth analyses of lung cancer …

Histologic subtype classification of non-small cell lung cancer using PET/CT images

Y Han, Y Ma, Z Wu, F Zhang, D Zheng, X Liu… - European journal of …, 2021 - Springer
Purposes To evaluate the capability of PET/CT images for differentiating the histologic
subtypes of non-small cell lung cancer (NSCLC) and to identify the optimal model from …

Current knowledge of small cell lung cancer transformation from non-small cell lung cancer

G Giaccone, Y He - Seminars in Cancer Biology, 2023 - Elsevier
Lung cancer is the leading cause of cancer related death, and is divided into two major
histological subtypes, non-small cell lung cancer (NSCLC) and small cell lung cancer …

The state of the art for artificial intelligence in lung digital pathology

VS Viswanathan, P Toro, G Corredor… - The Journal of …, 2022 - Wiley Online Library
Lung diseases carry a significant burden of morbidity and mortality worldwide. The advent of
digital pathology (DP) and an increase in computational power have led to the development …

[HTML][HTML] Distinct tumor-infiltrating lymphocyte landscapes are associated with clinical outcomes in localized non-small-cell lung cancer

L Federico, DJ McGrail, SE Bentebibel, C Haymaker… - Annals of …, 2022 - Elsevier
Background Despite the importance of tumor-infiltrating T lymphocytes (TILs) in cancer
biology, the relationship between TIL phenotypes and their prognostic relevance for …

Mechanisms of acquired resistance and tolerance to EGFR targeted therapy in non-small cell lung cancer

H Chhouri, D Alexandre, L Grumolato - Cancers, 2023 - mdpi.com
Simple Summary Lung cancer is the major cause of cancer-related deaths worldwide. The
development of targeted therapies has dramatically improved the outcome of lung cancer …

Magnetic particle targeting for diagnosis and therapy of lung cancers

M Saadat, MKD Manshadi, M Mohammadi… - Journal of Controlled …, 2020 - Elsevier
Over the past decade, the growing interest in targeted lung cancer therapy has guided
researchers toward the cutting edge of controlled drug delivery, particularly magnetic …