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Artificial Intelligence in Cancer Research: Trends, Challenges and Future Directions
The World Health Organization (WHO), in their 2022 report, identified cancer as one of the leading causes of death, accounting for about 16% of deaths worldwide.
Anu Maria Sebastian, David Peter
doaj +2 more sources
This article provides an update on the global cancer burden using the GLOBOCAN 2020 estimates of cancer incidence and mortality produced by the International Agency for Research on Cancer.
Hyuna Sung+2 more
exaly +2 more sources
Metabolomics in cancer research and emerging applications in clinical oncology
Cancer has myriad effects on metabolism that include both rewiring of intracellular metabolism to enable cancer cells to proliferate inappropriately and adapt to the tumor microenvironment, and changes in normal tissue metabolism.
Daniel R Schmidt+2 more
exaly +2 more sources
Microfluidic Technologies in Advancing Cancer Research [PDF]
This review explores the significant role of microfluidic technologies in advancing cancer research, focusing on the below key areas: droplet-based microfluidics, organ-on-chip systems, paper-based microfluidics, electrokinetic chips, and microfluidic ...
Arjun Ajikumar, Kin Fong Lei
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This article provides a status report on the global burden of cancer worldwide using the GLOBOCAN 2018 estimates of cancer incidence and mortality produced by the International Agency for Research on Cancer, with a focus on geographic variability across ...
Freddie Bray+2 more
exaly +2 more sources
p21 functions as a cell cycle inhibitor and anti-proliferative effector in normal cells, and is dysregulated in some cancers. Earlier observations on p21 knockout models emphasized the role of this protein in cell cycle arrest under the p53 transcription factor activity.
Bahar Shamloo, Sinem Usluer
openaire +4 more sources
Radioimmunotheragnosis in Cancer Research. [PDF]
The combination of immunoPET—where an antibody (Ab) is labeled with an isotope for PET imaging—and radioimmunotherapy (RIT), using the same antibody with a therapeutic isotope, offers significant advantages in cancer management.
Garaulet G+6 more
europepmc +3 more sources
Big data in basic and translational cancer research
Historically, the primary focus of cancer research has been molecular and clinical studies of a few essential pathways and genes. Recent years have seen the rapid accumulation of large-scale cancer omics data catalysed by breakthroughs in high-throughput
Peng Jiang+5 more
semanticscholar +1 more source
Artificial Intelligence in Cancer Research and Precision Medicine.
Artificial intelligence (AI) is rapidly reshaping cancer research and personalized clinical care. Availability of high-dimensionality datasets coupled with advances in high-performance computing, as well as innovative deep learning architectures, has led
B. Bhinder+3 more
semanticscholar +1 more source