Artificial intelligence (AI) and big data in cancer and precision oncology

Artificial intelligence (AI) and big data in cancer and precision oncology

Artificial intelligence (AI) and machine learning have significantly influenced many facets of the healthcare sector. Advancement in technology has paved the way for analysis of big datasets in a cost- and time-effective manner. Clinical oncology and research are reaping the benefits of AI. The burd...

Full description

Bibliographic Details
Main Authors:	Zodwa Dlamini, Flavia Zita Francies, Rodney Hull, Rahaba Marima
Format:	Article
Language:	English
Published:	Elsevier 2020-01-01
Series:	Computational and Structural Biotechnology Journal
Subjects:	Artificial intelligence Machine learning Deep learning Big datasets Precision oncology NGS and bioinformatics
Online Access:	http://www.sciencedirect.com/science/article/pii/S200103702030372X

Similar Items

Innovation in Precision Cardio-Oncology During the Coronavirus Pandemic and Into a Post-pandemic World
by: Sherry-Ann Brown, et al.
Published: (2020-08-01)

Machine Learning With Radiation Oncology Big Data
Published: (2019)

Reinforcement Learning for Precision Oncology
by: Jan-Niklas Eckardt, et al.
Published: (2021-09-01)

Bioinformatics for Precision Medicine in Oncology: principles and application to the SHIVA clinical trial
by: Nicolas eServant, et al.
Published: (2014-05-01)

Big Data and AI Revolution in Precision Agriculture: Survey and Challenges
by: Showkat Ahmad Bhat, et al.
Published: (2021-01-01)

Developing Bottom-Up, Integrated Omics Methodologies for Big Data Biomarker Discovery
by: Kechavarzi, Bobak David
Published: (2020)

Building a precision oncology workforce by multidisciplinary and case-based learning
by: Srikar Chamala, et al.
Published: (2021-01-01)

Precision Medicine in Relapsed and Refractory Childhood Cancers: Single-center Experience, Literature Review, and Meta-analysis
by: Oz Mordechai, et al.
Published: (2018-07-01)

Pathway mapping reveals antiretroviral treatments' targeted cell cycle regulation in lung cancer
by: Rahaba Marima, et al.
Published: (2020-01-01)

Semantic Segmentation of Remote-Sensing Imagery Using Heterogeneous Big Data: International Society for Photogrammetry and Remote Sensing Potsdam and Cityscape Datasets
by: Ahram Song, et al.
Published: (2020-10-01)

Big Data and the Precision Medicine Revolution
by: Hopp, W.J, et al.
Published: (2018)

Efavirenz and Lopinavir/Ritonavir Alter Cell Cycle Regulation in Lung Cancer
by: Rahaba Marima, et al.
Published: (2020-08-01)

Editorial: Precision/Personalized Pediatric Oncology and Immune Therapies: Rather Customize Than Randomize
by: Michal Kýr, et al.
Published: (2020-03-01)

Statistical Process Control Charts for Monitoring Next-Generation Sequencing and Bioinformatics Turnaround in Precision Medicine Initiatives
by: Sneha Rajiv Jain, et al.
Published: (2021-09-01)

Precision Genomic Practice in Oncology: Pharmacist Role and Experience in an Ambulatory Care Clinic
by: Farah Raheem, et al.
Published: (2020-03-01)

SeQual: Big Data Tool to Perform Quality Control and Data Preprocessing of Large NGS Datasets
by: Roberto R. Exposito, et al.
Published: (2020-01-01)

Prototyping a precision oncology 3.0 rapid learning platform
by: Connor Sweetnam, et al.
Published: (2018-09-01)

Precision Health Economics and Outcomes Research to Support Precision Medicine: Big Data Meets Patient Heterogeneity on the Road to Value
by: Yixi Chen, et al.
Published: (2016-11-01)

Precision/Personalized Pediatric Oncology and Immune Therapies: Rather Customize Than Randomize
Published: (2020)

The dual protease inhibitor lopinavir/ritonavir (LPV/r) exerts genotoxic stress on lung cells
by: Rahaba Marima, et al.
Published: (2020-12-01)

The profiling, identification, quantification and analysis of differentially expressed genes (DEGs) in response to drug treatment in lung cancer
by: Rahaba Marima, et al.
Published: (2021-01-01)

From Big Data to Precision Medicine
by: Tim Hulsen, et al.
Published: (2019-03-01)

Machine Learning and Radiogenomics: Lessons Learned and Future Directions
by: John Kang, et al.
Published: (2018-06-01)

The Role of CYP450 Drug Metabolism in Precision Cardio-Oncology
by: Olubadewa A. Fatunde, et al.
Published: (2020-01-01)

Editorial: Precision Medicine in Veterinary Oncology
by: Carlos Eduardo Fonseca-Alves, et al.
Published: (2021-07-01)

Resources for Interpreting Variants in Precision Genomic Oncology Applications
by: Hsinyi Tsang, et al.
Published: (2017-09-01)

Genomics and molecular analysis of RPL9 and LIAS in lung cancer: Emerging implications in carcinogenesis
by: Zodwa Dlamini, et al.
Published: (2021-01-01)

Norm-Based Binary Search Trees for Speeding Up KNN Big Data Classification
by: Ahmad B. A. Hassanat
Published: (2018-10-01)

Application of Artificial Intelligence Technology in Oncology: Towards the Establishment of Precision Medicine
by: Ryuji Hamamoto, et al.
Published: (2020-11-01)

Precision Medicine Informatics: Principles, Prospects, and Challenges
by: Muhammad Afzal, et al.
Published: (2020-01-01)

Drug-Diagnostics Co-Development in Oncology
Published: (2014)

Beyond Becquerel and Biology to Precision Radiomolecular Oncology: Festschrift in Honor of Richard P. Baum
Published: (2024)

Drug-Diagnostics Co-Development in Oncology
by: Jan Trøst eJørgensen
Published: (2014-08-01)

Functional precision oncology: Testing tumors with drugs to identify vulnerabilities and novel combinations
by: Bhola, P., et al.
Published: (2022)

Building towards Precision Oncology for Pancreatic Cancer: Real-World Challenges and Opportunities
by: Yifan Wang, et al.
Published: (2020-09-01)

Editorial: Precision Medicine in Oncology
by: Angela Re, et al.
Published: (2018-10-01)

Machine Learning in Radiation Oncology: Opportunities, Requirements, and Needs
by: Mary Feng, et al.
Published: (2018-04-01)

A Multi-parametric MRI-Based Radiomics Signature and a Practical ML Model for Stratifying Glioblastoma Patients Based on Survival Toward Precision Oncology
by: Alexander F. I. Osman
Published: (2019-08-01)

Big Data’s Role in Precision Public Health
by: Shawn Dolley
Published: (2018-03-01)

Big data for social media learning analytics: potentials and challenges
by: Stefania Manca, et al.
Published: (2016-05-01)