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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
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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
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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 ...
Frank Bray+2 more
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This article presents global cancer statistics by world region for the year 2022 based on updated estimates from the International Agency for Research on Cancer (IARC).
Frank Bray, Hyuna Sung, Rebecca L Siegel
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Exploring the promising potential of induced pluripotent stem cells in cancer research and therapy
The advent of iPSCs has brought about a significant transformation in stem cell research, opening up promising avenues for advancing cancer treatment. The formation of cancer is a multifaceted process influenced by genetic, epigenetic, and environmental ...
Matin Chehelgerdi+13 more
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Artificial intelligence (AI) methods applied to healthcare problems have shown enormous potential to alleviate the burden of health services worldwide and to improve the accuracy and reproducibility of predictions. In particular, developments in computer
Lorena Escudero Sanchez+15 more
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Building capacity for clinical research in developing countries: the INDOX cancer research network experience [PDF]
Transnational Organisations increasingly prioritise the need to support local research capacity in low and middle income countries in order that local priorities are addressed with due consideration of contextual issues. There remains limited evidence on
Raghib Ali+2 more
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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
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Patient-derived xenograft (PDX) models, applications and challenges in cancer research
The establishing of the first cancer models created a new perspective on the identification and evaluation of new anti-cancer therapies in preclinical studies. Patient-derived xenograft models are created by tumor tissue engraftment.
S. Abdolahi+5 more
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