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  1. Queen Mary University of London
  2. Research
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Publications: Miss Federica Mossa

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Hughes BK, Davis A, Milligan D, Wallis R, Mossa F, Philpott MP, Wainwright LJ, Gunn DA et al. ( 2025 ) . SenPred: a single-cell RNA sequencing-based machine learning pipeline to classify deeply senescent dermal fibroblast cells for the detection of an in vivo senescent cell burden . Genome Medicine vol. 17 , ( 1 )
O’Sullivan EA, Wallis R, Mossa F, Bishop CL ( 2024 ) . The paradox of senescent-marker positive cancer cells: challenges and opportunities . npj Aging vol. 10 , ( 1 )
Mossa F, Robesti D, Sumankalai R, Titus M, Kang Y, Briganti A, Montorsi F, Vellano CP et al. ( 2022 ) . Subtype and site specific-induced metabolic vulnerabilities in prostate cancer . Molecular Cancer Research vol. 21 , ( 1 ) 51 - 61 .