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Bojing Liu

Bojing Liu

Research Specialist
Visiting address: ,
Postal address: C8 Medicinsk epidemiologi och biostatistik, C8 MEB II Rantalainen, 171 77 Stockholm

Articles

  • Journal article: SCIENTIFIC REPORTS. 2025;15(1):19804
    Sharma A; Liu B; Rantalainen M
  • Journal article: NATURE COMMUNICATIONS. 2025;16(1):2328
    Liu B; Polack M; Coudray N; Quiros AC; Sakellaropoulos T; Le H; Karimkhan A; Crobach ASLP; van Krieken JHJM; Yuan K; Tollenaar RAEM; Mesker WE; Tsirigos A
  • Article: BREAST CANCER RESEARCH. 2024;26(1):17
    Sharma A; Weitz P; Wang Y; Liu B; Vallon-Christersson J; Hartman J; Rantalainen M
  • Article: ANNALS OF NEUROLOGY. 2023;93(5):1023-1028
    Liu B; Svenningsson P; Ludvigsson JF; Lundholm C; Wallin J; Larsson H; Sjolander A; Williams DM; Pedersen NL; Wirdefeldt K
  • Article: ISCIENCE. 2022;25(7):104663
    Liu B; Wang Y; Weitz P; Lindberg J; Hartman J; Wang W; Egevad L; Gronberg H; Eklund M; Rantalainen M
  • Article: ANNALS OF ONCOLOGY. 2022;33(1):89-98
    Wang Y; Acs B; Robertson S; Liu B; Solorzano L; Wahlby C; Hartman J; Rantalainen M
  • Article: NPJ PARKINSONS DISEASE. 2021;7(1):5
    Liu B; Sjolander A; Pedersen NL; Ludvigsson JF; Chen H; Fang F; Wirdefeldt K
  • Article: FRONTIERS IN NEUROLOGY. 2020;11:510
    Liu B; Fang F; Ye W; Wirdefeidt K
  • Article: ALIMENTARY PHARMACOLOGY & THERAPEUTICS. 2020;51(11):1022-1030
    Liu B; Wanders A; Wirdefeldt K; Sjolander A; Sachs MC; Eberhardson M; Ye W; Ekbom A; Olen O; Ludvigsson JF
  • Journal article: ANNALS OF INTERNAL MEDICINE. 2019;171(7):526
    Liu B; Luo Z; Chen H
  • Article: ANNALS OF INTERNAL MEDICINE. 2019;170(10):673-681
    Liu B; Luo Z; Pinto JM; Shiroma EJ; Tranah GJ; Wirdefeldt K; Fang F; Harris TB; Chen H
  • Article: NEUROLOGY. 2017;88(21):1996-2002
    Liu B; Fang F; Pedersen NL; Tillander A; Ludvigsson JF; Ekbom A; Svenningsson P; Chen H; Wirdefeldt K
  • Journal article: SCANDINAVIAN JOURNAL OF CHILD AND ADOLESCENT PSYCHIATRY AND PSYCHOLOGY. 2017;5(1):13-27
    Liu B; Engstrom K; Jadback I; Ullman S; Berman AH
  • Article: PLOS ONE. 2016;11(4):e0152841
    Liu B; Chen H; Fang F; Tillander A; Wirdefeldt K
  • Article: PLOS ONE. 2016;11(3):e0150545
    Berman AH; Liu B; Ullman S; Jadback I; Engstrom K
  • Article: JOURNAL OF AFFECTIVE DISORDERS. 2013;151(2):652-659
    Liu B; Lavebratt C; Nordqvist T; Fandino-Losada A; Theorell T; Forsell Y; Lundberg I

All other publications

  • Preprint: BIORXIV. 2024;BIORXIV
    Liu B; Polack M; Coudray N; Quiros AC; Sakellaropoulos T; Crobach ASLP; van Krieken JHJM; Yuan K; Tollenaar RAEM; Mesker WE; Tsirigos A
  • Doctoral thesis: 2018
    Liu B
  • Review: REVISTA PANAMERICANA DE SALUD PUBLICA-PAN AMERICAN JOURNAL OF PUBLIC HEALTH. 2015;38(6):515-532
    Monarrez-Espino J; Liu B; Greiner F; Bremberg S; Galanti R
  • Review: AMERICAN JOURNAL OF PUBLIC HEALTH. 2014;104(10):e11-e30
    Monarrez-Espino J; Liu B; Greiner F; Bremberg S; Galanti R

Grants

  • Liu, Bojing – AI-driven Precision Medicine: A Multi-modal Approach to Enhance Cancer Prognosis and Treatment Personalization
    Cancerfonden
    1 January 2025 - 31 December 2027
  • Swedish Research Council
    1 December 2024 - 30 November 2028
    Breast cancer (BC) remains a global health challenge, with 7.8 million new cases annually. Despite treatment and screening advances that have gradually improved outcomes since the 1970s, many patients still do not survive their dissease, creating an urgent need for precision diagnostics to identify high-risk individuals and predict therapeutic responses. The Consortium for AI in Registry-Based Image Epidemiology Research in Breast Cancer (CARE-B) addresses this by combining registry data, histopathology images, and AI to improve BC characterization.CARE-B will establish an internationally unique large (up to 30,000 patients), multimodal multi-site database integrating clinical data, whole slide images (WSIs), and molecular profiles from breast cancer cohorts in Sweden, Denmark, and Scotland. The consortium will develop scalable AI models for cost-effective precision diagnostics, focusing on deep phenotyping of BC subtypes based on routine H&E stained histopathology slides, characterise intra-tumor heterogeneity (ITH), predicting treatment responses and for prognostic stratification.CARE-B will foster collaboration, support junior researchers, and advance epidemiological research and clinical translation. By leveraging AI and registry data, CARE-B aims to significantly impact BC research and clinical diagnostics, creating a foundation for future advances in precision medicine, while also building a research environment that take health-registry research to the next level.
  • Swedish Research Council
    1 January 2020 - 31 December 2022

Employments

  • Research Specialist, Department of Medical Epidemiology and Biostatistics, ̽»¨¾«Ñ¡, 2024-

Degrees and Education

  • Degree Of Doctor Of Philosophy, Department of Medical Epidemiology and Biostatistics, ̽»¨¾«Ñ¡, 2018
  • Degree Of Master Of Medical Science 120 Credits, ̽»¨¾«Ñ¡, 2012

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