[HTML][HTML] A systematic review on machine learning approaches in the diagnosis and prognosis of rare genetic diseases

P Roman-Naranjo, AM Parra-Perez… - Journal of biomedical …, 2023 - Elsevier
Background The diagnosis of rare genetic diseases is often challenging due to the
complexity of the genetic underpinnings of these conditions and the limited availability of …

The clinical utility of lncRNAs and their application as molecular biomarkers in breast cancer

C Arriaga-Canon, L Contreras-Espinosa… - International journal of …, 2023 - mdpi.com
Given their tumor-specific and stage-specific gene expression, long non-coding RNAs
(lncRNAs) have demonstrated to be potential molecular biomarkers for diagnosis …

Toward a generalizable machine learning workflow for neurodegenerative disease staging with focus on neurofibrillary tangles

JC Vizcarra, TM Pearce, BN Dugger, MJ Keiser… - Acta Neuropathologica …, 2023 - Springer
Abstract Machine learning (ML) has increasingly been used to assist and expand current
practices in neuropathology. However, generating large imaging datasets with quality labels …

[HTML][HTML] Integrating Artificial Intelligence into Telemedicine: Revolutionizing Healthcare Delivery

T Rezaei, PJ Khouzani, SJ Khouzani, AM Fard… - Kindle, 2023 - preferpub.org
Abstract Integrating Artificial Intelligence (AI) into telemedicine has emerged as a
groundbreaking approach, revolutionizing the delivery of healthcare services. AI, with its …

Insights into the Relationship between Pentraxin-3 and Cancer

M Bogdan, AD Meca, A Turcu-Stiolica… - International Journal of …, 2022 - mdpi.com
Although cancer can be cured if detected early and treated effectively, it is still a leading
cause of death worldwide. Tumor development can be limited by an appropiate immune …

Euclidean distance-based Raman spectroscopy (EDRS) for the prognosis analysis of gastric cancer: A solution to tumor heterogeneity

W Wang, B Shi, C He, S Wu, L Zhu, J Jiang… - … Acta Part A: Molecular …, 2023 - Elsevier
The prognosis analysis of gastric cancer is critical for selection of treatments and
development of advanced therapeutic methods. A prognosis approach that is accurate, fast …

The oral-gut microbiome axis in inflammatory bowel disease: from inside to insight

A Wang, Z Zhai, Y Ding, J Wei, Z Wei… - Frontiers in …, 2024 - frontiersin.org
Inflammatory bowel disease (IBD) is an idiopathic and persistent inflammatory illness of the
bowels, leading to a substantial burden on both society and patients due to its high …

Computational biology helps understand how polyploid giant cancer cells drive tumor success

MC Casotti, DD Meira, ASS Zetum, BC Araújo… - Genes, 2023 - mdpi.com
Precision and organization govern the cell cycle, ensuring normal proliferation. However,
some cells may undergo abnormal cell divisions (neosis) or variations of mitotic cycles …

[HTML][HTML] Clinical utilization of artificial intelligence in predicting therapeutic efficacy in pulmonary tuberculosis

F Zhang, F Zhang, L Li, Y Pang - Journal of Infection and Public Health, 2024 - Elsevier
Traditional methods for monitoring pulmonary tuberculosis (PTB) treatment efficacy lack
sensitivity, prompting the exploration of artificial intelligence (AI) to enhance monitoring. This …

Artificial intelligence applications in the treatment of colorectal cancer: a narrative review

J Yang, J Huang, D Han, X Ma - Clinical Medicine Insights …, 2024 - journals.sagepub.com
Colorectal cancer is the third most prevalent cancer worldwide, and its treatment has been a
demanding clinical problem. Beyond traditional surgical therapy and chemotherapy, newly …