🩺 What does the "M" in the TNM system indicate? #tnm #oncology #cancer #cancerclassification ... Continue to: www.youtube.com/watch?v=3pC0...

How is cancer classified? #oncology #cancer #tumor #cancerclassification
... Continue to: youtube.com/shorts/rCANp...

How is cancer classified? #oncology #cancer #tumor #cancerclassification
... Continue to: youtube.com/shorts/rCANp...

What does the "M" in the TNM system indicate? A. Muscle growth B. Mitochondria C. Metastasis D. Mass What does the "M" in the TNM system indicate? A. Muscle growth B. Mitochondria C. Metastasis D. Mass

What does the "M" in the TNM system indicate?
A. Muscle growth
B. Mitochondria
C. Metastasis
D. Mass
#TNM #oncology #cancer #cancerclassification ... Continue to: www.facebook.com/113009240922...

What does the “N” in the TNM system indicate? A) New cells B) Nerve involvement C) Node involvement What does the “N” in the TNM system indicate? A) New cells B) Nerve involvement C) Node involvement

What does the “N” in the TNM system indicate?
A) New cells
B) Nerve involvement
C) Node involvement
D) Nutrient use
#TNM #cancer #cancerclassification #oncology ... Continue to: www.facebook.com/113009240922...

Stacked Deep Learning Ensemble for Multiomics Cancer Type Classification: Development and Validation Study Background: Cancer is one of the leading causes of disease burden globally, and early and accurate diagnosis is crucial for effective treatment. This study presents a deep learning-based model designed to classify five common types of cancer in Saudi Arabia: Breast, Colorectal, Thyroid, Non-Hodgkin Lymphoma (NHL), and Corpus Uteri. Objective: To evaluate whether integrating RNA-seq, somatic-mutation, and DNA-methylation profiles within a stacking deep-learning ensemble improves cancer-type classification accuracy relative to the current state-of-the-art multi-omics models. Methods: Utilizing a stacking ensemble learning approach, our model integrates five well-established methods: Support Vector Machine (SVM), K-Nearest Neighbors (KNN), Artificial Neural Network (ANN), Convolutional Neural Network (CNN), and Random Forest (RF). The methodology involves two main stages: data pre-processing (including normalization and feature extraction) and ensemble stacking classification. We prepared the data before applying the stacking model. Results: The stacking ensemble model achieved 98% accuracy with multi-omics versus 96% using RNA-seq and methylation individually, 81% using somatic mutations data, suggesting that multi-omics data can be used for diagnosis in primary care settings. The models used in ensemble learning are among the most widely utilized in cancer classification research. Their prevalent use in prior studies underscores their effectiveness and flexibility, enhancing the performance of multi-omics data integration. Conclusions: This study highlights the importance of advanced machine learning techniques in improving cancer detection and prognosis accuracy, contributing valuable insights by applying ensemble learning to integrate multi-omics data for more effective cancer classification.

Stacked Deep Learning Ensemble for Multiomics Cancer Type Classification: Development and Validation Study #DeepLearning #CancerResearch #Multiomics #HealthTech #CancerClassification

Vivek Subbiah: It’s Time We Evolve WHO Cancer Classification - OncoDaily Vivek Subbiah, Chief of Early-Phase Drug Development at the Sarah Cannon Research Institute, shared a post on LinkedIn: “Happy 4th everyone! Delighted to share with the our comment just published in t...

It’s Time We Evolve WHO Cancer Classification - Vivek Subbiah
@viveksubbiah.bsky.social
@who.int

oncodaily.com/science/vive...

#OncoDaily #Oncology #Cancer #Health #Medicine #MedEd #MedOnc #MedNews #CancerClassification #WHO

Classification depending on the nature of the cancer

Another classification refers to the anatomical characteristics of the cancer: localized or diffuse (with or without lymph node invasion).

#cancer #classification #Cancerclassification #Diffusecancer #Localizedcancer

Classification of the cancer depending on the type of affected cells

These cells may look normal, like other cells in the tissue in which the cancer is located, even if chaotic formations form due to rapid multiplication.

#tumor #Cancercells #Cancerclassification #Differentiatedcancer

Classification of cancer depending on localization of the disease
Oncological diseases can be classified depending on the organ or part of the body where the disease is localized.
#cancer #Cancerclassification #Cancerorgans #Localisationofcancer