A New Era of Neuro-Oncology Research Pioneered by Multi-Omics Analysis and Machine Learning
Although the incidence of central nervous system (CNS) cancers is not high, it significantly reduces a patient’s quality of life and results in high mortality rates. A low incidence also means a low number of cases, which in turn means a low amount of information. To compensate, researchers have tri...
Main Authors: | Satoshi Takahashi, Masamichi Takahashi, Shota Tanaka, Shunsaku Takayanagi, Hirokazu Takami, Erika Yamazawa, Shohei Nambu, Mototaka Miyake, Kaishi Satomi, Koichi Ichimura, Yoshitaka Narita, Ryuji Hamamoto |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-04-01
|
Series: | Biomolecules |
Subjects: | |
Online Access: | https://www.mdpi.com/2218-273X/11/4/565 |
Similar Items
-
Assessing Versatile Machine Learning Models for Glioma Radiogenomic Studies across Hospitals
by: Risa K. Kawaguchi, et al.
Published: (2021-07-01) -
Mining-Guided Machine Learning Analyses Revealed the Latest Trends in Neuro-Oncology
by: Taijun Hana, et al.
Published: (2019-02-01) -
Infection-Associated Mechanisms of Neuro-Inflammation and Neuro-Immune Crosstalk in Chronic Respiratory Diseases
by: Belinda Camp, et al.
Published: (2021-05-01) -
Aptamer Technologies in Neuroscience, Neuro-Diagnostics and Neuro-Medicine Development
by: Bang Wang, et al.
Published: (2024-03-01) -
When neuro-robots go wrong: A review
by: Muhammad Salar Khan, et al.
Published: (2023-02-01)