[HTML][HTML] Survival prediction of lung cancer using small-size clinical data with a multiple task variational autoencoder
Due to the increase of lung cancer globally, and particularly in Korea, survival analysis for
this type of cancer has gained prominence in recent years. For this task, mathematical and …
this type of cancer has gained prominence in recent years. For this task, mathematical and …
[HTML][HTML] AI/ML advances in non-small cell lung cancer biomarker discovery
M Çalışkan, K Tazaki - Frontiers in Oncology, 2023 - ncbi.nlm.nih.gov
Lung cancer is the leading cause of cancer deaths among both men and women,
representing approximately 25% of cancer fatalities each year. The treatment landscape for …
representing approximately 25% of cancer fatalities each year. The treatment landscape for …
Prediction of toxicity outcomes following radiotherapy using deep learning-based models: a systematic review
Purpose This study aims to perform a comprehensive systematic review of deep learning
(DL) models in predicting RT-induced toxicity. Materials and methods A literature review was …
(DL) models in predicting RT-induced toxicity. Materials and methods A literature review was …
Classification of cancer cells and gene selection based on microarray data using MOPSO algorithm
MR Rahimi, D Makarem, S Sarspy, SA Mahdavi… - Journal of Cancer …, 2023 - Springer
Purpose Microarray information is crucial for the identification and categorisation of
malignant tissues. The very limited sample size in the microarray has always been a …
malignant tissues. The very limited sample size in the microarray has always been a …
PMFN-SSL: Self-supervised learning-based progressive multimodal fusion network for cancer diagnosis and prognosis
The integration of digital pathology images and genetic data is a developing field in cancer
research, presenting potential opportunities for predicting survival and classifying grades …
research, presenting potential opportunities for predicting survival and classifying grades …
Withanolides: Promising candidates for cancer therapy
Q Zhang, YK Yuan, S Cao, N Kang… - Phytotherapy …, 2024 - Wiley Online Library
Natural products have played a significant role throughout history in the prevention and
treatment of numerous diseases, particularly cancers. As a natural product primarily derived …
treatment of numerous diseases, particularly cancers. As a natural product primarily derived …
[HTML][HTML] Assessment of a large-scale unbiased malignant pleural effusion proteomics study of a real-life cohort
Simple Summary Pleural effusion (PE) occurs as a consequence of various pathologies.
Malignant effusion due to lung cancer is one of the most frequent causes. A method for …
Malignant effusion due to lung cancer is one of the most frequent causes. A method for …
Predicting mid-term survival of patients during emergency department triage for resuscitation decision.
JY Yu, H Chang, W Jung, S Heo, GT Lee… - Signa …, 2023 - search.ebscohost.com
In patients with non-small cell lung cancer (NSCLC) visiting the emergency department
(ED), clinical decisions must be made based on their disease prognosis. This study aims to …
(ED), clinical decisions must be made based on their disease prognosis. This study aims to …
[HTML][HTML] The RIPK family: expression profile and prognostic value in lung adenocarcinoma
G Li, Z Xu, J Peng, Y Yan, Y Liu, X Zhang, Y Qiu… - Aging (Albany …, 2022 - ncbi.nlm.nih.gov
Receptor interacting protein kinases (RIPKs) are a family of serine/threonine kinases which
are supposed to regulate tumor generation and progression. Rare study illustrates the roles …
are supposed to regulate tumor generation and progression. Rare study illustrates the roles …
[HTML][HTML] 深度学习在癌症预后预测模型中的应用研究
雯陈， 旭王， 辉宏段， 小兵张， 婷董… - Sheng Wu Yi Xue Gong …, 2020 - ncbi.nlm.nih.gov
近年来， 深度学习为癌症预后分析提供了新的方法。 对深度学习在癌症预后应用中的相关文献
进行归纳总结， 可为深入开展癌症预后研究提供借鉴和参考。 因此， 本文对深度学习在癌症 …
进行归纳总结， 可为深入开展癌症预后研究提供借鉴和参考。 因此， 本文对深度学习在癌症 …