Improved analytical workflow towards machine learning supported N-glycomics-based biomarker discovery

Agnes Vathy-Fogarassy, Veronika Gombas, Rebeka Torok, Gabor Jarvas and Andras Guttman

Talanta, 2025, 295, 128389
DOI: 10.1016/j.talanta.2025.128389

A pathway for detection of gastric cancer biomarkers via using a layer-by-layer coated D-shaped grinding long-period fiber grating sensor

Chia-Chin Chiang, Yao-Tsung Yeh, Tung-En Wang, Hsiang-Cheng Hsu and Hsin-Yi Wen

Analytica Chimica Acta, 2024, 1318, 342927
DOI: 10.1016/j.aca.2024.342927

Machine Learning-Enhanced Cerebrospinal Fluid N-Glycome for the Diagnosis and Prognosis of Primary Central Nervous System Lymphoma

Tao Liu, Huaizu Guo, Qing Li, Kun Chen, Jin Xu, Yan Ma, Zhiguang Lin, Xinli Zhou and Bobin Chen

J. Proteome Res., 2025, 24, 2369
DOI: 10.1021/acs.jproteome.4c01006

Identification of serum N-glycans signatures in three major gastrointestinal cancers by high-throughput N-glycome profiling

Si Liu, Jianmin Huang, Yuanyuan Liu, Jiajing Lin, Haobo Zhang, Liming Cheng, Weimin Ye and Xin Liu

Clin Proteom, 2024, 21
DOI: 10.1186/s12014-024-09516-2

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

Song Jiang, Ting Wang and Kun-He Zhang

BioMed Eng OnLine, 2023, 22
DOI: 10.1186/s12938-023-01148-1

Integration of high-pH fractionation and cotton-HILIC enrichment approaches for analyzing N-glycopeptides

Nabil Tahhan, Sena Aksoy, Haci Mehmet Kayili and Bekir Salih

Advances in Sample Preparation, 2023, 8, 100098
DOI: 10.1016/j.sampre.2023.100098

Circulating Proteins as Diagnostic Markers in Gastric Cancer

Ombretta Repetto, Roberto Vettori, Agostino Steffan, Renato Cannizzaro and Valli De Re

IJMS, 2023, 24, 16931
DOI: 10.3390/ijms242316931

Distinguishing Turkish pine honey from multi-floral honey through MALDI-MS-based N-glycomics and machine learning

Saad Masri, Sena Aksoy, Hatice Duman, Sercan Karav, Haci Mehmet Kayili and Bekir Salih

Food Measure, 2024, 18, 5673
DOI: 10.1007/s11694-024-02597-5

Development and clinical application of a postoperative complication prognosis prediction model for gastric cancer patients based on automated machine learning with body fat rate

Song Xue, Xiangning Dong, Jie Wei and Jiqing Hao

Front. Oncol., 2026, 16
DOI: 10.3389/fonc.2026.1763139

Understanding glycan structure and function through artificial intelligence

Lachlan Coff, Ujala Bashir and Daniel Bojar

BBA Advances, 2026, 100196
DOI: 10.1016/j.bbadva.2026.100196

Dynamics of peptides released from cow milk fermented by kefir microorganisms during fermentation and storage periods

Sena Aksoy, Haci Mehmet Kayili, Mehmet Atakay, Hüseyin Avni Kirmaci and Bekir Salih

International Dairy Journal, 2024, 155, 105970
DOI: 10.1016/j.idairyj.2024.105970

Decoding Extracellular Protein Glycosylation in Human Health and Disease

Alexandra D. Steigmeyer, Sarah C. Lowery, Valentina Rangel-Angarita and Stacy A. Malaker

Annual Review of Analytical Chemistry, 2025, 18, 241
DOI: 10.1146/annurev-anchem-071024-124203

Rapid screening of infertility-associated gynecological conditions via ambient glow discharge mass spectrometry utilizing urine metabolic fingerprints

Yijiao Qu, Ming Chen, Yiran Wang, Liangliang Qu, Ruiyue Wang, Huihui Liu, Liping Wang and Zongxiu Nie

Talanta, 2024, 274, 125969
DOI: 10.1016/j.talanta.2024.125969

Insights on prevention and gastric cancer detection: an integrative approach through risk factors, microbiome, molecular markers and machine learning

Yeison Carlosama Rosero, Luis Alzate Alzate and Rafael Parra Medina

Oncologie, 2025, 27, 643
DOI: 10.1515/oncologie-2025-0160

Multicriteria Learning: Combining Minimum Mean Square Error, Minimum Error Entropy, and Maximum Correntropy in the Presence of Gaussian and Non‐Gaussian Noises

Fatemeh Mohamaddust, Saeid Pakravan, Ghosheh Abed Hodtani and Yongcheng Jing

IET Signal Processing, 2025, 2025
DOI: 10.1049/sil2/9643695

Enhancing gastric cancer early detection: A multi-verse optimized feature selection model with crossover-information feedback

Jiejun Lin, Fangchao Zhu, Xiaoyu Dong, Rizeng Li, Jisheng Liu and Jianfu Xia

Computers in Biology and Medicine, 2024, 175, 108535
DOI: 10.1016/j.compbiomed.2024.108535

Recent advances in mass spectrometry imaging combined with artificial intelligence for spatially clarifying molecular profiles: Toward biomedical applications

Hairong Zhang, Junyu Zhang, Caixia Yuan, Dandan Zhang, Di Lu, Simian Chen, Yun-long Wu and Caisheng Wu

TrAC Trends in Analytical Chemistry, 2024, 178, 117834
DOI: 10.1016/j.trac.2024.117834

Research progress of machine learning applications in gastric cancer diagnosis and therapy

Wen-Zhuo Cui, Cheng-Quan Wen, Chao-Qun Li, Qiu-Jie Zhang, Qing-Qing Yu and Wei-Wei Sun

Clin Transl Oncol, 2026
DOI: 10.1007/s12094-026-04279-8

Advances and challenges in thyroid cancer: The interplay of genetic modulators, targeted therapies, and AI-driven approaches

Srinjan Bhattacharya, Rahul Kumar Mahato, Satwinder Singh, Gurjit Kaur Bhatti, Sarabjit Singh Mastana and Jasvinder Singh Bhatti

Life Sciences, 2023, 332, 122110
DOI: 10.1016/j.lfs.2023.122110

Enhancing Prediction Accuracy in Gastric Cancer Using High-Confidence Machine Learning Models for Class Imbalance

Danish Jamil, Sellappan Palaniappan, Muhammad Naseem and Asiah Lokman

JAIT, 2023, 14, 1410
DOI: 10.12720/jait.14.6.1410-1424

Sweet artificial intelligence as digital catalysts in infectious diseases: Glycomics and glycoanalysis

Yuan Gao, Jianlei Liu, Benjamin Gong, Jianyuan Pei, Xiwei Zhuang, Chijia Zeng, Hangrui Zhang, Emmanuel Agu, Yanling Wang, Zhihao Duan, Kunyang Xue, Qin Zhou and Feiyun Cui

Biosensors and Bioelectronics, 2026, 310, 118863
DOI: 10.1016/j.bios.2026.118863