Advancements in traditional machine learning techniques for detection and diagnosis of fatal cancer types: Comprehensive review of biomedical imaging datasets

HM Rai, J Yoo, SA Moqurrab, S Dashkevych - Measurement, 2024 - Elsevier
Accurate cancer detection and diagnosis are imperative for advancing patient outcomes and
mitigating mortality rates. This extensive review scrutinizes the progress within the domain of …

Towards interpretable imaging genomics analysis: methodological developments and applications

X Cen, W Dong, W Lv, Y Zhao, F Dubee, AFA Mentis… - Information …, 2024 - Elsevier
Identifying the relationship between imaging features and genetic variation (a term coined
“imaging genomics”) offers valuable insight into the pathogenesis of cancer, as well as …

In-depth metaproteomics analysis of tongue coating for gastric cancer: a multicenter diagnostic research study

J Chen, Y Sun, J Li, M Lyu, L Yuan, J Sun, S Chen… - Microbiome, 2024 - Springer
Background Our previous study revealed marked differences in tongue images between
individuals with gastric cancer and those without gastric cancer. However, the biological …

[HTML][HTML] GastroVRG: Enhancing early screening in gastrointestinal health via advanced transfer features

MS Islam, MAT Rony, T Sultan - Intelligent Systems with Applications, 2024 - Elsevier
The accurate classification of endoscopic images is a challenging yet critical task in medical
diagnostics, which directly affects the treatment and management of Gastrointestinal …

MLP-like model with convolution complex transformation for auxiliary diagnosis through medical images

M Zhang, G Wen, J Zhong, D Chen… - IEEE Journal of …, 2023 - ieeexplore.ieee.org
Medical images such as facial and tongue images have been widely used for intelligence-
assisted diagnosis, which can be regarded as the multi-label classification task for disease …

Data-driven decision-making for precision diagnosis of digestive diseases

S Jiang, T Wang, KH Zhang - BioMedical Engineering Online, 2023 - Springer
Modern omics technologies can generate massive amounts of biomedical data, providing
unprecedented opportunities for individualized precision medicine. However, traditional …

Application of machine learning in surgery research: current uses and future directions–editorial

P Satapathy, KB Pradhan, S Rustagi… - … Journal of Surgery, 2023 - journals.lww.com
In recent years, machine learning (ML) has become a buzzword in the field of medical
research, and its applications in surgery are rapidly expanding [1, 2]. With the development …

Integrating artificial intelligence into the modernization of traditional Chinese medicine industry: a review

E Zhou, Q Shen, Y Hou - Frontiers in Pharmacology, 2024 - frontiersin.org
Traditional Chinese medicine (TCM) is the practical experience and summary of the
Chinese nation for thousands of years. It shows great potential in treating various chronic …

Oral microbiota disorder in GC patients revealed by 2b-RAD-M

S He, Y Sun, W Sun, M Tang, B Meng, Y Liu… - Journal of Translational …, 2023 - Springer
Background Microbiota alterations are linked with gastric cancer (GC). However, the
relationship between the oral microbiota (especially oral fungi) and GC is not known. In this …

The dynamic oral–gastric microbial axis connects oral and gastric health: current evidence and disputes

M Xia, L Lei, L Zhao, W Xu, H Zhang, M Li… - npj Biofilms and …, 2025 - nature.com
Emerging evidence indicates that oral microbes are closely related to gastric microbes and
gastric lesions, including gastric atrophy, intestinal metaplasia and gastric cancer (GC) …