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A review of machine learning methods for cancer characterization from microbiome data
M Teixeira, F Silva, RM Ferreira, T Pereira… - NPJ Precision …, 2024 - nature.com
Recent studies have shown that the microbiome can impact cancer development,
progression, and response to therapies suggesting microbiome-based approaches for …
progression, and response to therapies suggesting microbiome-based approaches for …
[HTML][HTML] Next-generation sequencing for the detection of microbial agents in avian clinical samples
CL Afonso, AM Afonso - Veterinary Sciences, 2023 - mdpi.com
Simple Summary Significant progress in next-generation sequencing (NGS) is positioning
this technology as a key tool to be utilized in clinical diagnosis of disease agents and/or for …
this technology as a key tool to be utilized in clinical diagnosis of disease agents and/or for …
EnsDeepDP: an ensemble deep learning approach for disease prediction through metagenomics
Y Shen, J Zhu, Z Deng, W Lu… - IEEE/ACM Transactions …, 2022 - ieeexplore.ieee.org
A growing number of studies show that the human microbiome plays a vital role in human
health and can be a crucial factor in predicting certain human diseases. However …
health and can be a crucial factor in predicting certain human diseases. However …
Comprehensive analysis of the multifaceted role of ITGAV in digestive system cancer progression and immune infiltration
X Shi, J Zang, Q Gu, M Zhang, H Sun, L Yang… - Frontiers in …, 2025 - frontiersin.org
Background Digestive system cancers are among the most common malignancies,
exhibiting consistently high incidence and mortality rates, yet effective detection and …
exhibiting consistently high incidence and mortality rates, yet effective detection and …
Understanding the role of the microbiome in cancer diagnostics and therapeutics by creating and utilizing ML models
M Cekikj, M Jakimovska Özdemir, S Kalajdzhiski… - Applied Sciences, 2022 - mdpi.com
Simple Summary Cancer is one of the leading causes of death worldwide. Colorectal cancer
belongs to the group of the most malignant tumors for which their burden can be only …
belongs to the group of the most malignant tumors for which their burden can be only …
DeepGum: deep feature transfer for gut microbiome analysis using bottleneck models
UGE Çiftcioğlu, OU Nalbanoglu - Biomedical Signal Processing and Control, 2024 - Elsevier
The intricate relationship between gut microbiome composition and gastrointestinal
diseases has been a focal point of numerous scientific investigations. In terms of sample …
diseases has been a focal point of numerous scientific investigations. In terms of sample …
[Retracted] Cognitive Computing Model Based on Machine Learning Algorithm in Artificial Intelligence Environment
W Liu - Security and Communication Networks, 2022 - Wiley Online Library
In order to effectively solve problems and complete data processing quickly, a data
processing model based on computational knowledge training technology is prepared. First …
processing model based on computational knowledge training technology is prepared. First …
An overview of cancer and the human microbiome
S Mahapatra, S Mohanty, R Mishra, P Prasad - Progress in Molecular …, 2022 - Elsevier
Mutual beneficial associations with the microbial consortia are an essential requisite of
human life. Microbial communities have both a symbiotic and a pathogenic standpoint …
human life. Microbial communities have both a symbiotic and a pathogenic standpoint …
Contribution of Artificial Intelligence and Machine Learning in Development of Quantum Computing
M Korrapati - Available at SSRN 4778852, 2024 - papers.ssrn.com
This research delves into the dynamic intersection of artificial intelligence (AI), machine
learning (ML), and quantum computing, exploring their collaborative potential and …
learning (ML), and quantum computing, exploring their collaborative potential and …
The Use of Machine Learning and Explainable Artificial Intelligence in Gut Microbiome Research: A Sco** Review
Gut microbiome research has made tremendous progress, especially with the integration of
machine learning and artificial intelligence that can provide new insights from complex …
machine learning and artificial intelligence that can provide new insights from complex …