Applications of artificial intelligence in screening, diagnosis, treatment, and prognosis of colorectal cancer
Colorectal cancer (CRC) is one of the most common cancers worldwide. Accurate early
detection and diagnosis, comprehensive assessment of treatment response, and precise …
detection and diagnosis, comprehensive assessment of treatment response, and precise …
Integrated analysis of multi-omics data for the discovery of biomarkers and therapeutic targets for colorectal cancer
N Zafari, P Bathaei, M Velayati… - Computers in Biology …, 2023 - Elsevier
The considerable burden of colorectal cancer and the rising trend in young adults
emphasize the necessity of understanding its underlying mechanisms, providing new …
emphasize the necessity of understanding its underlying mechanisms, providing new …
A multi-omics machine learning framework in predicting the survival of colorectal cancer patients
M Yang, H Yang, L Ji, X Hu, G Tian, B Wang… - Computers in biology and …, 2022 - Elsevier
Background Colorectal cancer (CRC), the 3rd most universal cancer globally, accounts for
approximately 10% of newly diagnosed cancer incidences each year. Identifying biomarkers …
approximately 10% of newly diagnosed cancer incidences each year. Identifying biomarkers …
Predicting colorectal cancer tumor mutational burden from histopathological images and clinical information using multi-modal deep learning
K Huang, B Lin, J Liu, Y Liu, J Li, G Tian, J Yang - Bioinformatics, 2022 - academic.oup.com
Motivation Tumor mutational burden (TMB) is an indicator of the efficacy and prognosis of
immune checkpoint therapy in colorectal cancer (CRC). In general, patients with higher TMB …
immune checkpoint therapy in colorectal cancer (CRC). In general, patients with higher TMB …
A Fecal-Microbial-Extracellular-Vesicles-based Metabolomics Machine Learning Framework and biomarker discovery for predicting colorectal cancer patients
Colorectal cancer (CRC) is one of the most common and lethal diseases among all types of
cancer, and metabolites play a significant role in the development of this complex disease …
cancer, and metabolites play a significant role in the development of this complex disease …
[HTML][HTML] Advances and challenges in thyroid cancer: The interplay of genetic modulators, targeted therapies, and AI-driven approaches
Thyroid cancer continues to exhibit a rising incidence globally, predominantly affecting
women. Despite stable mortality rates, the unique characteristics of thyroid carcinoma …
women. Despite stable mortality rates, the unique characteristics of thyroid carcinoma …
[HTML][HTML] A machine learning approach for risk factors analysis and survival prediction of Heart Failure patients
In this study, we propose machine learning (ML) for risk factors analysis and survival
prediction of Heart Failure (HF) patients using a survival dataset. Five supervised ML …
prediction of Heart Failure (HF) patients using a survival dataset. Five supervised ML …
Epigenetic alterations of repeated relapses in patient-matched childhood ependymomas
Recurrence is frequent in pediatric ependymoma (EPN). Our longitudinal integrated analysis
of 30 patient-matched repeated relapses (3.67±1.76 times) over 13 years (5.8±3.8) reveals …
of 30 patient-matched repeated relapses (3.67±1.76 times) over 13 years (5.8±3.8) reveals …
Identification of ZMYND19 as a novel biomarker of colorectal cancer: RNA-sequencing and machine learning analysis
Colorectal cancer (CRC) is the third most common cause of cancer-related deaths. The five-
year relative survival rate for CRC is estimated to be approximately 90% for patients …
year relative survival rate for CRC is estimated to be approximately 90% for patients …
REGLIV: molecular regulation data of diverse living systems facilitating current multiomics research
Multiomics is a powerful technique in molecular biology that facilitates the identification of
new associations among different molecules (genes, proteins & metabolites). It has attracted …
new associations among different molecules (genes, proteins & metabolites). It has attracted …