Work

Facilitating Selection with Artificial Intelligence-Based Glypican-3 Expression Quantification in Patients with Solid Tumors

Year: 2025

Type: article

Source: AI in Precision Oncology

DOI: 10.1089/aipo.2024.0057

Authors: Ellen Shuhan Meng, Darren Wan-Teck Lim, Maxime Chenard-Poirier, Jens Samol, Robin Meng, Ying Tong, Yuchen Li, Hong Wang, Paola Fiorentini, Elham Attieh, Qi Tang, Asma Kefsi, Serena Masciari, Giovanni Abbadessa, Cecile Combeau, Lei Tang, Benoit Pasquier, Rui Wang

Institutions: Sanofi (China), National Cancer Centre Singapore, Centre hospitalier universitaire de Québec, Centre hospitalier de l'Université Laval, Université Laval, Nanyang Technological University, Tan Tock Seng Hospital, Johns Hopkins Hospital, Sanofi (United States), WuXi AppTec (China), Sanofi (France)

Language: English

Topic: AI in cancer detection

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: closed

OpenAlex ID: W4409970108

FWCI: 0.412

Cites: 43

Cited by: 1

Related to: 10