Recent advancement in cancer diagnosis using machine learning and deep learning techniques: A comprehensive review

D Painuli, S Bhardwaj - Computers in Biology and Medicine, 2022 - Elsevier
Being a second most cause of mortality worldwide, cancer has been identified as a perilous
disease for human beings, where advance stage diagnosis may not help much in …

Medical intelligence for anxiety research: Insights from genetics, hormones, implant science, and smart devices with future strategies

F Akhtar, M Belal Bin Heyat, A Sultana… - … : Data Mining and …, 2024 - Wiley Online Library
This comprehensive review article embarks on an extensive exploration of anxiety research,
navigating a multifaceted landscape that incorporates various disciplines, such as molecular …

Detecting key genes relative expression orderings as biomarkers for machine learning-based intelligent screening and analysis of type 2 diabetes mellitus

X Xie, C Wu, C Ma, D Gao, W Su, J Huang… - Expert Systems with …, 2024 - Elsevier
Abstract Type 2 diabetes (T2D), a prevalent chronic metabolic disease of public health
concern, is growing rapidly worldwide. In order to characterize robust transcriptomic …

[HTML][HTML] Identification of cyclin protein using gradient boost decision tree algorithm

H Zulfiqar, SS Yuan, QL Huang, ZJ Sun, FY Dao… - Computational and …, 2021 - Elsevier
Cyclin proteins are capable to regulate the cell cycle by forming a complex with cyclin-
dependent kinases to activate cell cycle. Correct recognition of cyclin proteins could provide …

iTTCA-RF: a random forest predictor for tumor T cell antigens

S Jiao, Q Zou, H Guo, L Shi - Journal of translational medicine, 2021 - Springer
Background Cancer is one of the most serious diseases threatening human health. Cancer
immunotherapy represents the most promising treatment strategy due to its high efficacy and …

Critical downstream analysis steps for single-cell RNA sequencing data

Z Zhang, F Cui, C Lin, L Zhao, C Wang… - Briefings in …, 2021 - academic.oup.com
Single-cell RNA sequencing (scRNA-seq) has enabled us to study biological questions at
the single-cell level. Currently, many analysis tools are available to better utilize these …

iThermo: a sequence-based model for identifying thermophilic proteins using a multi-feature fusion strategy

Z Ahmed, H Zulfiqar, AA Khan, I Gul, FY Dao… - Frontiers in …, 2022 - frontiersin.org
Thermophilic proteins have important application value in biotechnology and industrial
processes. The correct identification of thermophilic proteins provides important information …

[HTML][HTML] Early diagnosis of pancreatic cancer: What strategies to avoid a foretold catastrophe

V Tonini, M Zanni - World Journal of Gastroenterology, 2022 - ncbi.nlm.nih.gov
While great strides in improving survival rates have been made for most cancers in recent
years, pancreatic ductal adenocarcinoma (PDAC) remains one of the solid tumors with the …

[HTML][HTML] Recent advances in artificial intelligence for pancreatic ductal adenocarcinoma

H Hayashi, N Uemura, K Matsumura… - World journal of …, 2021 - ncbi.nlm.nih.gov
Pancreatic ductal adenocarcinoma (PDAC) remains the most lethal type of cancer. The 5-
year survival rate for patients with early-stage diagnosis can be as high as 20%, suggesting …

Research trends of artificial intelligence in pancreatic cancer: a bibliometric analysis

H Yin, F Zhang, X Yang, X Meng, Y Miao… - Frontiers in …, 2022 - frontiersin.org
Purpose We evaluated the related research on artificial intelligence (AI) in pancreatic cancer
(PC) through bibliometrics analysis and explored the research hotspots and current status …