Artificial intelligence is an advanced method to identify novel anticancer targets and discover
novel drugs from biology networks because the networks can effectively preserve and …

Artificial intelligence and machine learning techniques are breaking into biomedical
research and health care, which importantly includes cancer research and oncology, where …

Through the revolutionization of artificial intelligence (AI) technologies in clinical research,
significant improvement is observed in diagnosis of cancer. Utilization of these AI …

High‐throughput DNA sequencing techniques enable large‐scale measurement of somatic
mutations in tumors. Cancer genomics research aims at identifying all cancer‐related genes …

Network-based analytics plays an increasingly important role in precision oncology.
Growing evidence in recent studies suggests that cancer can be better understood through …

Cancer is a major medical problem worldwide. Due to its high heterogeneity, the use of the
same drugs or surgical methods in patients with the same tumor may have different curative …

Artificial intelligence (AI) in healthcare plays a pivotal role in combating many fatal diseases,
such as skin, breast, and lung cancer. AI is an advanced form of technology that uses …

The multitude of multi-omics data generated cost-effectively using advanced high-
throughput technologies has imposed challenging domain for research in Artificial …

Artificial intelligence (AI) has contributed substantially to the resolution of a variety of
biomedical problems, including cancer, over the past decade. Deep learning, a subfield of AI …

Recent data indicate that up-to 30–40% of cancers can be prevented by dietary and lifestyle
measures alone. Herein, we introduce a unique network-based machine learning platform to …