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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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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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Background This study examined and compared the attitudes and willingness of guardians of children with cancer and adult cancer patients toward donating biospecimens and clinical data for cancer research.
Hongxiang Gao+8 more
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Cancer Research UK and Ludwig Cancer Research convened an inaugural international Cancer Prevention and Nutrition Conference in London on December 3–4, 2018.
The Cancer Research UK - Ludwig Cancer Research Nutrition and Cancer Prevention Collaborative Group
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Research on Cancer Viruses [PDF]
John R. Heller
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Shanghai expert consensus on whole-process management of antineoplastic-induced nausea and vomiting (2024 edition) [PDF]
Nausea and vomiting are common adverse reactions in tumor patients during anti-tumor therapy such as chemotherapy, radiotherapy, targeted therapy and immunotherapy.
Cancer Rehabilitation and Palliative Professional Committee of Shanghai Anti-Cancer Association , Cancer Drug Clinical Research Committee of Shanghai Anti-Cancer Association , Cancer Prevention and Clinical Research Committee of Chinese Aging Well Association
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FI-Net: Identification of Cancer Driver Genes by Using Functional Impact Prediction Neural Network
Identification of driver genes, whose mutations cause the development of tumors, is crucial for the improvement of cancer research and precision medicine.
Hong Gu, Xiaolu Xu, Pan Qin, Jia Wang
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Phosphoinositide 3‐kinase (PI3K)/protein kinase B (PKB or AKT)/mammalian target of rapamycin (mTOR) signaling pathway (PAM pathway) plays an important role in the development of breast cancer and are closely associated with the resistance to endocrine ...
The Society of Clinical Research of Oncology Medications of China Anticancer Association+2 more
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