[HTML][HTML] Toward explainable artificial intelligence for precision pathology
The rapid development of precision medicine in recent years has started to challenge
diagnostic pathology with respect to its ability to analyze histological images and …
diagnostic pathology with respect to its ability to analyze histological images and …
[HTML][HTML] MGMT and whole-genome DNA methylation impacts on diagnosis, prognosis and therapy of glioblastoma multiforme
R Della Monica, M Cuomo, M Buonaiuto… - International Journal of …, 2022 - mdpi.com
Epigenetic changes in DNA methylation contribute to the development of many diseases,
including cancer. In glioblastoma multiforme, the most prevalent primary brain cancer and …
including cancer. In glioblastoma multiforme, the most prevalent primary brain cancer and …
[HTML][HTML] Utilization of model-agnostic explainable artificial intelligence frameworks in oncology: a narrative review
C Ladbury, R Zarinshenas, H Semwal… - Translational Cancer …, 2022 - ncbi.nlm.nih.gov
Utilization of model-agnostic explainable artificial intelligence frameworks in oncology: a
narrative review - PMC Back to Top Skip to main content NIH NLM Logo Access keys NCBI …
narrative review - PMC Back to Top Skip to main content NIH NLM Logo Access keys NCBI …
A comprehensive study of explainable artificial intelligence in healthcare
The recent development of Artificial intelligence and Machine learning, in general, has
exhibited impressive results in a variety of fields, especially through the introduction of deep …
exhibited impressive results in a variety of fields, especially through the introduction of deep …
Identification of crucial genes for predicting the risk of atherosclerosis with system lupus erythematosus based on comprehensive bioinformatics analysis and machine …
C Liu, Y Zhou, Y Zhou, X Tang, L Tang… - Computers in Biology and …, 2023 - Elsevier
Background Systemic lupus erythematosus (SLE) has become a major public health
problem over the years, and atherosclerosis (AS) is one of the main complications of SLE …
problem over the years, and atherosclerosis (AS) is one of the main complications of SLE …
[HTML][HTML] Deep-learning model for tumor-type prediction using targeted clinical genomic sequencing data
M Darmofal, S Suman, G Atwal, M Toomey, JF Chen… - Cancer discovery, 2024 - AACR
Tumor type guides clinical treatment decisions in cancer, but histology-based diagnosis
remains challenging. Genomic alterations are highly diagnostic of tumor type, and tumor …
remains challenging. Genomic alterations are highly diagnostic of tumor type, and tumor …
HiTAIC: hi erarchical tumor artificial intelligence classifier traces tissue of origin and tumor type in primary and metastasized tumors using DNA methylation
Human cancers are heterogenous by their cell composition and origination site. Cancer
metastasis generates the conundrum of the unknown origin of migrated tumor cells. Tracing …
metastasis generates the conundrum of the unknown origin of migrated tumor cells. Tracing …
Deep learning and machine learning approaches to classify stomach distant metastatic tumors using DNA methylation profiles
J Shi, Y Chen, Y Wang - Computers in Biology and Medicine, 2024 - Elsevier
Distant metastasis of cancer is a significant contributor to cancer-related complications, and
early identification of unidentified stomach adenocarcinoma is crucial for a positive …
early identification of unidentified stomach adenocarcinoma is crucial for a positive …
[HTML][HTML] From Data to Cure: A Comprehensive Exploration of Multi-omics Data Analysis for Targeted Therapies
A Mukherjee, S Abraham, A Singh, S Balaji… - Molecular …, 2024 - Springer
In the dynamic landscape of targeted therapeutics, drug discovery has pivoted towards
understanding underlying disease mechanisms, placing a strong emphasis on molecular …
understanding underlying disease mechanisms, placing a strong emphasis on molecular …
[HTML][HTML] A molecular approach integrating genomic and DNA methylation profiling for tissue of origin identification in lung-specific cancer of unknown primary
K Chen, F Zhang, X Yu, Z Huang, L Gong, Y Xu… - Journal of translational …, 2022 - Springer
Background Determining the tissue of origin (TOO) is essential for managing cancer of
unknown primary (CUP). In this study, we evaluated the concordance between genome …
unknown primary (CUP). In this study, we evaluated the concordance between genome …