[HTML][HTML] Estrogenic flavonoids and their molecular mechanisms of action

R Kiyama - The Journal of Nutritional Biochemistry, 2023 - Elsevier
Flavonoids are a major group of phytoestrogens associated with physiological effects, and
ecological and social impacts. Although the estrogenic activity of flavonoids was reported by …

[HTML][HTML] Artificial intelligence and advanced melanoma: treatment management implications

A Guerrisi, I Falcone, F Valenti, M Rao, E Gallo… - Cells, 2022 - mdpi.com
Artificial intelligence (AI), a field of research in which computers are applied to mimic
humans, is continuously expanding and influencing many aspects of our lives. From electric …

Federated Random Forests can improve local performance of predictive models for various healthcare applications

AC Hauschild, M Lemanczyk, J Matschinske… - …, 2022 - academic.oup.com
Motivation Limited data access has hindered the field of precision medicine from exploring
its full potential, eg concerning machine learning and privacy and data protection rules. Our …

[HTML][HTML] Artificial intelligence for clinical diagnosis and treatment of prostate cancer

AA Rabaan, MA Bakhrebah, H AlSaihati, S Alhumaid… - Cancers, 2022 - mdpi.com
Simple Summary The primary purpose of this review is to provide an in-depth analysis of
existing Artificial Intelligence (AI) algorithms used in the field of prostate cancer (PC) for …

[HTML][HTML] Systems Biology in Cancer Diagnosis Integrating Omics Technologies and Artificial Intelligence to Support Physician Decision Making

A Fawaz, A Ferraresi, C Isidoro - Journal of Personalized Medicine, 2023 - mdpi.com
Cancer is the second major cause of disease-related death worldwide, and its accurate
early diagnosis and therapeutic intervention are fundamental for saving the patient's life …

[HTML][HTML] Applications of deep learning for drug discovery systems with bigdata

Y Matsuzaka, R Yashiro - BioMedInformatics, 2022 - mdpi.com
The adoption of “artificial intelligence (AI) in drug discovery”, where AI is used in the process
of pharmaceutical research and development, is progressing. By using the ability to process …

[HTML][HTML] Graph neural networks in cancer and oncology research: Emerging and future trends

G Gogoshin, AS Rodin - Cancers, 2023 - mdpi.com
Simple Summary Graph Neural Networks are emerging as a powerful tool for structured data
analysis, and predictive modeling in massive multimodal datasets. In this review, we survey …

[HTML][HTML] Host transcriptome and microbiome interactions in Holstein cattle under heat stress condition

B Czech, Y Wang, K Wang, H Luo, L Hu… - Frontiers in …, 2022 - frontiersin.org
Climate change affects animal physiology. In particular, rising ambient temperatures reduce
animal vitality due to heat stress and this can be observed at various levels which included …

A review of cancer data fusion methods based on deep learning

Y Zhao, X Li, C Zhou, H Pen, Z Zheng, J Chen, W Ding - Information Fusion, 2024 - Elsevier
With advancements in modern medical technology, an increasing amount of cancer-related
information can be acquired through various means, such as genomics, proteomics …

[HTML][HTML] Identification of prognostic biomarkers for suppressing tumorigenesis and metastasis of Hepatocellular carcinoma through transcriptome analysis

D Mishra, A Mishra, SN Rai, E Vamanu, MP Singh - Diagnostics, 2023 - mdpi.com
Cancer is one of the deadliest diseases developed through tumorigenesis and could be fatal
if it reaches the metastatic phase. The novelty of the present investigation is to explore the …