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Abstract P23: A deep-learning model for quantifying circulating tumour DNA from the density distribution of DNA-fragment lengths

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Year: 2026
Type: conference-abstract
Source: Cancer Research
DOI: 10.1158/1538-7445.fcs2025-p23
Authors: Guanhua Zhu, Chowdhury Rafeed Rahman, Victor Getty, Denis Odinokov, Probhonjon Baruah, Hanaé Carrié, Avril Joy Lim, Yu Amanda Guo, Zhong Wee Poh, Ngak Leng Sim, Ahmed Abdelmoneim, Yutong Cai, Lakshmi Narayanan Lakshmanan, Danliang Ho, Saranya Thangaraju, Polly Poon, Yi Ting Lau, Anna Gan, Sarah Ng, Si-Lin Koo, Dawn Q. Chong, Brenda Tay, Tira J. Tan, Yoon Sim Yap, Aik Yong Chok, Matthew Chau Hsien Ng, Patrick Tan, Daniel Tan, Limsoon Wong, Pui Mun Wong, Iain Beehuat Tan, Anders Jacobsen Skanderup
Institutions: Agency for Science, Technology and Research, Chinese University of Hong Kong, Genome Institute of Singapore, National University of Singapore, Duke-NUS Medical School, National Cancer Centre Singapore, Singapore General Hospital
Language: English

Topic: Cancer Genomics and Diagnostics
Subfield: Cancer Research
Field: Biochemistry, Genetics and Molecular Biology
Domain: Life Sciences
SDG: Good health and well-being

Open Access status: closed
OpenAlex ID: W7167064041
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