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Artificial intelligence-based risk stratification, accurate diagnosis and treatment prediction in gynecologic oncology
Y Jiang, C Wang, S Zhou - Seminars in cancer biology, 2023 - Elsevier
As data-driven science, artificial intelligence (AI) has paved a promising path toward an
evolving health system teeming with thrilling opportunities for precision oncology …
evolving health system teeming with thrilling opportunities for precision oncology …
Exploring data mining and machine learning in gynecologic oncology
F Idlahcen, A Idri, E Goceri - Artificial Intelligence Review, 2024 - Springer
Gynecologic (GYN) malignancies are gaining new and much-needed attention, perpetually
fueling literature. Intra-/inter-tumor heterogeneity and “frightened” global distribution by race …
fueling literature. Intra-/inter-tumor heterogeneity and “frightened” global distribution by race …
Artificial intelligence and allied subsets in early detection and preclusion of gynecological cancers
Gynecological cancers including breast, cervical, ovarian, uterine, and vaginal, pose the
greatest threat to world health, with early identification being crucial to patient outcomes and …
greatest threat to world health, with early identification being crucial to patient outcomes and …
[HTML][HTML] The metabolomic approach for the screening of endometrial cancer: validation from a large cohort of women scheduled for gynecological surgery
Endometrial cancer (EC) is the most common gynecological neoplasm in high-income
countries. Five-year survival rates are related to stage at diagnosis, but currently, no …
countries. Five-year survival rates are related to stage at diagnosis, but currently, no …
Application of artificial intelligence in gynecologic malignancies: A review
K Sone, Y Toyohara, A Taguchi… - Journal of Obstetrics …, 2021 - Wiley Online Library
With the development of machine learning and deep learning models, artificial intelligence
is now being applied to the field of medicine. In oncology, the use of artificial intelligence for …
is now being applied to the field of medicine. In oncology, the use of artificial intelligence for …
Discovery of the potential biomarkers for early diagnosis of endometrial cancer via integrating metabolomics and transcriptomics
Y Fu, C Wang, Z Wu, X Zhang, Y Liu, X Wang… - Computers in Biology …, 2024 - Elsevier
Endometrial cancer (EC) is one of the most common malignant tumors in women, and the
increasing incidence and mortality pose a serious threat to the public health. Early diagnosis …
increasing incidence and mortality pose a serious threat to the public health. Early diagnosis …
Harnessing Schistosoma-associated metabolite changes in the human host to identify biomarkers of infection and morbidity: Where are we and what should we do …
M Kameni, F Musaigwa, LM Kamguia… - PLOS Neglected …, 2024 - journals.plos.org
Schistosomiasis is the second most widespread parasitic disease affecting humans. A key
component of today's infection control measures is the diagnosis and monitoring of infection …
component of today's infection control measures is the diagnosis and monitoring of infection …
Chrysin induces autophagy through the inactivation of the ROS-mediated Akt/mTOR signaling pathway in endometrial cancer
Y He, Y Shi, Y Yang, H Huang… - International …, 2021 - spandidos-publications.com
Endometrial cancer (EC) is widely known as an aggressive malignancy. Due to the limited
therapeutic options and poor prognosis of patients with advanced-stage EC, there is a need …
therapeutic options and poor prognosis of patients with advanced-stage EC, there is a need …
[HTML][HTML] A metabolomics-based screening proposal for colorectal cancer
Colorectal cancer (CRC) is a high incidence disease, characterized by high morbidity and
mortality rates. Early diagnosis remains challenging because fecal occult blood screening …
mortality rates. Early diagnosis remains challenging because fecal occult blood screening …
Multi-omic profiling of multi-biosamples reveals the role of amino acid and nucleotide metabolism in endometrial cancer
Background Endometrial cancer (EC) is one of the most common gynecological cancers.
The traditional diagnosis of EC relies on histopathology, which, however, is invasive and …
The traditional diagnosis of EC relies on histopathology, which, however, is invasive and …