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Minfeng Chen

Biographic Data

ID10384133
NAMEMinfeng Chen
GIVEN NAMESMinfeng
FAMILY NAMEChen
SIGNATURECHEN M
AFFILIATIONSBGI Group (China)
ORCID0000-0001-5185-3917
VERIFIEDNo
TOTAL WORKS2
TOTAL CITATIONS0
WORKS AS AUTHOR2
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2010
LATEST PUBLICATION YEAR2026
H-INDEX0
  • Integrating large language models into prostate cancer training

    Open Access•Xuhao Liu, Minfeng Chen et al.•ARTICLE•BMC Medical Education•2026

    BACKGROUND: Large language models (LLMs) are increasingly explored as tools for medical education. However, evidence remains limited regarding their pedagogical quality and real-world utility in prostate cancer teaching within urology residency training. METHODS: We conducted a two-phase study. Phase 1 benchmarked three LLMs (ChatGPT-4o, DeepSeek R1, and Gemini 2.0) on a structured 40-item prostate cancer education question bank using standardize…

  • Ancient human genome sequence of an extinct Palaeo-Eskimo

    Open Access•Morten Rasmussen, Yingrui Li et al.•ARTICLE•Nature•2010

    We report here the genome sequence of an ancient human. Obtained from ∼4,000-year-old permafrost-preserved hair, the genome represents a male individual from the first known culture to settle in Greenland. Sequenced to an average depth of 20×, we recover 79% of the diploid genome, an amount close to the practical limit of current sequencing technologies. We identify 353,151 high-confidence single-nucleotide polymorphisms (SNPs), of which 6.8% hav…

No prominent works on this page.

  • Ancient human genome sequence of an extinct Palaeo-Eskimo

    Open Access•Morten Rasmussen, Yingrui Li et al.•ARTICLE•Nature•2010

    We report here the genome sequence of an ancient human. Obtained from ∼4,000-year-old permafrost-preserved hair, the genome represents a male individual from the first known culture to settle in Greenland. Sequenced to an average depth of 20×, we recover 79% of the diploid genome, an amount close to the practical limit of current sequencing technologies. We identify 353,151 high-confidence single-nucleotide polymorphisms (SNPs), of which 6.8% hav…

  • Integrating large language models into prostate cancer training

    Open Access•Xuhao Liu, Minfeng Chen et al.•ARTICLE•BMC Medical Education•2026

    BACKGROUND: Large language models (LLMs) are increasingly explored as tools for medical education. However, evidence remains limited regarding their pedagogical quality and real-world utility in prostate cancer teaching within urology residency training. METHODS: We conducted a two-phase study. Phase 1 benchmarked three LLMs (ChatGPT-4o, DeepSeek R1, and Gemini 2.0) on a structured 40-item prostate cancer education question bank using standardize…

Ancient DNA (1 work) · Artificial Intelligence in Healthcare and Education (1 work) · Benchmarking (1 work) · Biology (1 work) · Clinical Reasoning and Diagnostic Skills (1 work) · Curriculum (1 work) · Demography (1 work) · Educational measurement (1 work) · Evolutionary biology (1 work) · Forensic and Genetic Research (1 work)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae