Multimodal data fusion for cancer biomarker discovery with deep learning
Technological advances have made it possible to study a patient from multiple angles with
high-dimensional, high-throughput multiscale biomedical data. In oncology, massive …
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 …
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 …
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 …
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 …
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 …
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
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 …
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
Background Despite the importance of tumor-infiltrating T lymphocytes (TILs) in cancer
biology, the relationship between TIL phenotypes and their prognostic relevance for …
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 …
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 …
researchers toward the cutting edge of controlled drug delivery, particularly magnetic …