Application of ensemble learning–based classifiers for genetic expression data classification
Background: Cancer is a type of disease that occurs due to the abnormal behaviors of the
genes within the human body. Microarray analysis is one of the widely accepted …
genes within the human body. Microarray analysis is one of the widely accepted …
Circ_0060937 contributes to the development of lung cancer via positively regulating LAD1 expression by binding to miR-1304-5p
D Xian, Y Wu, W Chen, Q Yan, Y Wu - Biochemical Genetics, 2023 - Springer
In view of the significance of circular RNA (circRNA) in multiple carcinogeneses, our study
focused on circ_0060937 and investigated its function and molecular mechanism in lung …
focused on circ_0060937 and investigated its function and molecular mechanism in lung …
Prognostic prediction for non-small-cell lung cancer based on deep neural network and multimodal data
Non-small-cell lung cancer (NSCLC) is the most common lung cancer with poor prognosis.
Prognostic prediction is significant in improving the prognosis of NSCLC patients. Clinical …
Prognostic prediction is significant in improving the prognosis of NSCLC patients. Clinical …
Modern AI/ML methods for healthcare: Opportunities and challenges
Artificial Intelligence has seen a significant resurgence in the past decade in wide ranging
technology and domain areas. Recent progress in digitisation and high influx of biomedical …
technology and domain areas. Recent progress in digitisation and high influx of biomedical …
Omics sciences and precision medicine in lung cancer
C Micheletti, K Dhuli, K Donato, M Gadler… - La Clinica …, 2023 - clinicaterapeutica.it
Lung cancer is a complex disease, with a wide range of genetic alterations and clinical
presentations. Understanding the natural and clinical history of the disease is crucial for …
presentations. Understanding the natural and clinical history of the disease is crucial for …
Updates in pharmacogenetics of non-small cell lung cancer
M Ruwali, K Moharir, S Singh, PK Aggarwal… - …, 2021 - books.google.com
Though significant clinical advances have been made, lung cancer remains the most lethal,
with a low 5-year survival rate. The variability in patient response towards therapy is …
with a low 5-year survival rate. The variability in patient response towards therapy is …
Classification of Lung Adenocarcinoma Using Convolutional Neural Networks: A Bioinformatics Approach.
M Aharonu, RL Kumar - Traitement du Signal, 2024 - search.ebscohost.com
Lung cancer, recognized as one of the most lethal malignancies globally, manifests
predominantly as lung adenocarcinoma (LUAD) within the broader classification of nonsmall …
predominantly as lung adenocarcinoma (LUAD) within the broader classification of nonsmall …
Multimodal Deep Learning for Computer-Aided Detection and Diagnosis of Cancer: Theory and Applications
AB Menegotto, SC Cazella - … Telemedicine and e-Health: Advanced IoT …, 2021 - Springer
Cancer is a group of diseases caused by the abnormal and disorderly growth of cells,
representing the second leading cause of deaths worldwide. The number of cancer cases is …
representing the second leading cause of deaths worldwide. The number of cancer cases is …
Training with small medical data: robust Bayesian neural networks for colon cancer overall survival prediction
TC Hsu, C Lin - 2021 43rd Annual International Conference of …, 2021 - ieeexplore.ieee.org
Fast and accurate cancer prognosis stratification models are essential for treatment designs.
Large labeled patient data can power advanced deep learning models to obtain precise …
Large labeled patient data can power advanced deep learning models to obtain precise …
[PDF][PDF] LUNG CANCER RELAPSE PREDICTION USING PARALLEL XGBOOST: Bioinformation
RD Abdu-Aljabar, OA Awad - Iraqi Journal of Information and …, 2022 - iasj.net
Lung cancer has been the most popular form of cancer for decades. Surgery will offer the
non-small cell lung cancer (NSCLC) patients the best hope of a cure if the cancer is …
non-small cell lung cancer (NSCLC) patients the best hope of a cure if the cancer is …