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Artificial intelligence-based multi-omics analysis fuels cancer precision medicine
With biotechnological advancements, innovative omics technologies are constantly
emerging that have enabled researchers to access multi-layer information from the genome …
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 …
cancer. Defining the epigenetic defects associated with malignant tumors has become a …
Artificial intelligence in cancer research and precision medicine
Artificial intelligence (AI) is rapidly resha** cancer research and personalized clinical
care. Availability of high-dimensionality datasets coupled with advances in high …
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
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 …
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
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 …
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 …
threatening. The computing field has allowed for the development of artificial intelligence …
Requirements and reliability of AI in the medical context
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 …
Intelligence (AI) approaches, especially the subclass of computer algorithms that are …
Hierarchical biopolymer‐based materials and composites
The mass production and disposal of non‐degradable fossil‐based plastics is responsible
for alarming environmental and social issues when not managed responsibly. Towards …
for alarming environmental and social issues when not managed responsibly. Towards …
[HTML][HTML] Artificial intelligence for clinical diagnosis and treatment of prostate cancer
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 …
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
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 …
information from the gene dataset. This gene information is used for disease diagnosis …