AI Medical Compendium Topic:
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ACPNet: A Deep Learning Network to Identify Anticancer Peptides by Hybrid Sequence Information.

Molecules (Basel, Switzerland)
Cancer is one of the most dangerous threats to human health. One of the issues is drug resistance action, which leads to side effects after drug treatment. Numerous therapies have endeavored to relieve the drug resistance action. Recently, anticancer...

A multipurpose TNM stage ontology for cancer registries.

Journal of biomedical semantics
BACKGROUND: Population-based cancer registries are a critical reference source for the surveillance and control of cancer. Cancer registries work extensively with the internationally recognised TNM classification system used to stage solid tumours, b...

Machine Learning Identifies Pan-Cancer Landscape of Nrf2 Oxidative Stress Response Pathway-Related Genes.

Oxidative medicine and cellular longevity
BACKGROUND: Oxidative stress produced a large amount of reactive oxygen species (ROS), which played a pivotal role in balanced ability and determining cell fate. The activated Nrf2 signaling pathway that responds to the excessive ROS regulated the ex...

A machine learning approach based on ACMG/AMP guidelines for genomic variant classification and prioritization.

Scientific reports
Genomic variant interpretation is a critical step of the diagnostic procedure, often supported by the application of tools that may predict the damaging impact of each variant or provide a guidelines-based classification. We propose the application o...

m6A modification: recent advances, anticancer targeted drug discovery and beyond.

Molecular cancer
Abnormal N6-methyladenosine (m6A) modification is closely associated with the occurrence, development, progression and prognosis of cancer, and aberrant m6A regulators have been identified as novel anticancer drug targets. Both traditional medicine-r...

Multifaceted Engineered Biomimetic Nanorobots Toward Cancer Management.

ACS biomaterials science & engineering
The noteworthy beneficiary to date in nanotechnology is cancer management. Nanorobots are developed as the result of advancements in the nanostructure, robotics, healthcare, and computer systems. These devices at the nanoscale level are beneficial in...

Effective Cancer Subtype and Stage Prediction via Dropfeature-DNNs.

IEEE/ACM transactions on computational biology and bioinformatics
Precise cancer subtype and/or stage prediction is instrumental for cancer diagnosis, treatment and management. However, most of the existing methods based on genomic profiles suffer from issues such as overfitting, high computational complexity and s...