Artificial intelligence-based multi-omics analysis fuels cancer precision medicine

X He, X Liu, F Zuo, H Shi, J **g - Seminars in Cancer Biology, 2023 - Elsevier
With biotechnological advancements, innovative omics technologies are constantly
emerging that have enabled researchers to access multi-layer information from the genome …

Cancer epigenetics: From laboratory studies and clinical trials to precision medicine

X Yu, H Zhao, R Wang, Y Chen, X Ouyang, W Li… - Cell Death …, 2024 - nature.com
Epigenetic dysregulation is a common feature of a myriad of human diseases, particularly
cancer. Defining the epigenetic defects associated with malignant tumors has become a …

Artificial intelligence in cancer research and precision medicine

B Bhinder, C Gilvary, NS Madhukar… - Cancer discovery, 2021 - aacrjournals.org
Artificial intelligence (AI) is rapidly resha** cancer research and personalized clinical
care. Availability of high-dimensionality datasets coupled with advances in high …

Deep learning in cancer diagnosis and prognosis prediction: a minireview on challenges, recent trends, and future directions

AB Tufail, YK Ma, MKA Kaabar… - … Methods in Medicine, 2021 - Wiley Online Library
Deep learning (DL) is a branch of machine learning and artificial intelligence that has been
applied to many areas in different domains such as health care and drug design. Cancer …

Deep learning for bone marrow cell detection and classification on whole-slide images

CW Wang, SC Huang, YC Lee, YJ Shen, SI Meng… - Medical Image …, 2022 - Elsevier
Bone marrow (BM) examination is an essential step in both diagnosing and managing
numerous hematologic disorders. BM nucleated differential count (NDC) analysis, as part of …

Artificial intelligence and precision medicine: a new frontier for the treatment of brain tumors

AK Philip, BA Samuel, S Bhatia, SAM Khalifa… - Life, 2022 - mdpi.com
Brain tumors are a widespread and serious neurological phenomenon that can be life-
threatening. The computing field has allowed for the development of artificial intelligence …

Requirements and reliability of AI in the medical context

Y Balagurunathan, R Mitchell, I El Naqa - Physica Medica, 2021 - Elsevier
The digital information age has been a catalyst in creating a renewed interest in Artificial
Intelligence (AI) approaches, especially the subclass of computer algorithms that are …

Hierarchical biopolymer‐based materials and composites

JL Fredricks, AM Jimenez… - Journal of Polymer …, 2023 - Wiley Online Library
The mass production and disposal of non‐degradable fossil‐based plastics is responsible
for alarming environmental and social issues when not managed responsibly. Towards …

[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 …

A survey on gene expression data analysis using deep learning methods for cancer diagnosis

U Ravindran, C Gunavathi - Progress in Biophysics and Molecular Biology, 2023 - Elsevier
Abstract Gene Expression Data is the biological data to extract meaningful hidden
information from the gene dataset. This gene information is used for disease diagnosis …