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Clin Asst Prof Ryan Shea Tan Ying Cong

MBBS, MRCP (S’pore), MMed (Int. Med), FAMS, MTec (EBAC)

Consultant

National Cancer Centre Singapore National Cancer Centre Singapore

Specialty: Medical Oncology

Conditions Treated By This Doctor

Clinical Interests

Breast, Gynae-Oncology

Clinical Appointments

Visiting Consultant

Academic Appointments

Clinical Asst Professor

About Doctor

Dr. Ryan Tan is a Consultant in the Division of Medical Oncology at National Cancer Centre Singapore (NCCS) and a visiting consultant at the Department of Gynecological Oncology, KK Women and Children’s Hospital. Dr Tan completed his specialist training in Medical Oncology at NCCS, and is a Fellow of the Academy of Medicine, Singapore. He pursued further training at Memorial Sloan Kettering Cancer Center under the Health Manpower Development Plan Award. Dr Tan's sub-specialty interests are breast cancer and gynaecological cancer. His research interests include Artificial Intelligence and their application in healthcare, Population Health, Integrative Oncology and Cancer Survivorship. Dr Tan is also active in teaching Senior Residents, medical officers and medical students. He has received accolades for his education and clinical work.

Languages Spoken

  • English
  • Chinese

Education and Training

  • ​Masters of Technology in Enterprise Business Analytics, National University of Singapore (NUS), 2021
  • Fellow of Academy of Medicine Singapore, Chapter of Medical Oncologists, College of Physicians, 2020
  • American Medical Informatics Association 10 x 10, Oregon Health & Science University, 2018
  • Member of Royal College of Physicians (UK); Master of Medicine (Internal Medicine) (Singapore) 2014
  • Bachelor of Medicine and Bachelor of Surgery, National University of Singapore (NUS), 2010

Professional Appointments and Committee Memberships

  • Director, Data and Digital Office, NCCS (2026 – present)
  • Member, Singapore Translational Cancer Consortium Cancer Database and Tissue Banks Workgroup (2026 – present)
  • SingHealth Group Research Informatics Office (2025 – present)
  • Clinical Physician Faculty Member, SingHealth Internal Medicine Residency Programme (2025 – present)
  • Deputy Director, Division of Medical Oncology Research (DMO Research), NCCS (2024 – present)
  • Member, NUS Artificial Intelligence Institute (NAII) (2024 – present)
  • Clinical Assistant Professor, Duke-NUS (2022 – present)
  • Executive Committee Member, Association for Medical and Bioinformatics Singapore (2018 – present)
  • Clinical Tutor, Department of Medicine, Yong Loo Lin School of Medicine, NUS, Singapore (2016 – present)
  • American Society of Clinical Oncology (ASCO) (2016 – present)
  • European Society of Medical Oncology (ESMO) (2016 – present)  

Awards

  • ESMO Targeted Anticancer Therapies Asia Congress 2025 Best Poster Award
  • Singapore Health and Biomedical Congress (SHBC) 27 Aug 2025 (Best Poster Award – Clinical Research)
  • Singapore Health Quality Service Awards – Star Award, 2024
  • ASCO Breakthrough Merit Award, 2024
  • Duke-NUS Health Innovator Program Dazzle Day Award, 2024
  • Japanese Society of Medical Oncology Conference 2022 – Young Investigator Award
  • Special Recognition Award, Yong Loo Lin School of Medicine, NUS, 2020
  • Residency in SingHealth Excels Outstanding Resident Award, 2019
  • Residency in SingHealth Excels Outstanding Resident Educator Award, 2018
  • Best Resident Award, Department of Medicine, Changi General Hospital, 2015
  • Meritorious House Officer Award, Yong Loo Lin School of Medicine, NUS, 2011
  • Best Houseman Award, Department of Medicine, Khoo Teck Puat Hospital 2010  

Research Trials/Clinical Trials

  • Pilot Study of Exercise Therapy and Cognitive Behavioural Therapy for Fatigue in Female Cancer Patients in Singapore
  • Pilot Study evaluating Feasibility, Acceptability and Preliminary Effects of the New Iteration of the innovative Smartphone based Care Solution for Women undergoing Breast Cancer Surgery and/or Chemotherapy (iCareBreast+) (NCT06977360)
  • Prospective Cohort Study of Telegenetics versus In-Person Genetic Counselling (NCT04738708)  

Publications

  • Lee HY, Ong WS, Tan JYT, Ma J, Zhang Z, Tan SY, Yang GM, Teo I, Goh WL, Tan MML, Yap YS, Chan JJ, Tan RSYC, Tan WM, Lim E, Sivaraj H, Beh SY, Soh LT, Chay WY, Dent R, Kanesvaran R, Wong M, Tan BKT, Wong FY, Tan KMV, Tan TJ. Outcomes of a prospective cohort study of PREoperative therapy and supportive care in early & locally advanced breast cancers—PreSCella study. npj Breast Cancer 12, 32 (2026). https://doi.org/10.1038/s41523-026-00898-0
  • Lim GH, Tan YCRS, Lee E, Loo CKY, Kumar N, Chong MF, Chia A. Adolescent Dietary Intake and Breast Cancer in Adulthood: A Systematic Review and Meta-Analysis. Adv Nutr. 2025 Aug 25:100503. doi: 10.1016/j.advnut.2025.100503.
  • Kim HB, Tan HQ, Nei WL, Tan YCRS, Cai Y, Wang F. Impact of large language models and vision deep learning models in predicting neoadjuvant rectal score for rectal cancer treated with neoadjuvant chemoradiation. BMC Med Imaging. 2025 Jul 31;25(1):306. doi: 10.1186/s12880-025-01844-5. PMID: 40745280; PMCID: PMC12312340.
  • Evaluating the Impact of Relative Dose Intensity on Efficacy of Trastuzumab Deruxtecan for Metastatic Breast Cancer in the Real-World Clinical Setting. Annals of Medicine Singapore. Aug 2025 https://doi.org/10.47102/annals-acadmedsg.202576
  • F.Y. Wong, B.J.G. Chua, R. Dent et al. Advancing Breast Cancer Research Through Real-World Data from the Joint Breast Cancer Registry (JBCR). ESMO Real World Data and Digital Oncology. Volume 9,2025. DOI: https://doi.org/10.1016/j.esmorw.2025.100159
  • Rahadian RE, Tan HQ, Ho SHB, Kumaran A, Villanueva A, Sng J, Tan RYC et al. Using Machine Learning Models to Predict Pathological Complete Response to Neoadjuvant Chemotherapy in Breast Cancer JCO Clin Cancer Inform. 2024 Nov;8:e2400071.
  • Tay SB, Low GH, Tey HJ, Leong FL, Li C, Chua LKM, Tan DSW, Thng CH, Tan IBH, Tan RYC. Use of Natural Language Processing to Extract Sites of Metastatic Disease from Radiology Reports at Scale. JCO Clin Cancer Inform. 2024 May;8:e2300122.
  • Zhuang QY, Zhang AY, Tan RYC, Yang GM, Neo PSH, Tan DS, Chua ML, Tan IB, Wong FY, Eng Hock Ong M, Shao Wei Lam S, Liu N. Towards proactive palliative care in oncology: developing an explainable EHR-based machine learning model for mortality risk prediction. BMC Palliat Care. 2024 May 20;23(1):124.
  • Tan RYC, Ong WS, Lee KH et al. Outcomes in non-metastatic hormone receptor-positive human epidermal growth factor receptor 2-negative pure mucinous breast cancer: a multicentre cohort study. J Natl Compr Canc Netw. May 14;22(2D):e237121
  • Ho PJ, Khng AJ, Tan BKT, Lim GH, Tan SM, Tan VKM, Tan RYC, Lim E, Iau PTC, Chew YJ, Lim YY, Hartman M, Tan EY, Lim J. Alterations to DNA methylation patterns induced by chemotherapy treatment are associated with negative impacts on the olfactory pathway. Breast Cancer Res 25, 136 (2023).
  • Tan RYC, Low GH, Lin Q et al. Inferring cancer disease response from radiology reports using large language models with data augmentation and prompting. J Am Med Inform Assoc. 2023 Sep 25;30(10):1657-1664.
  • Tan WC, Tan JYH, Lim JSJ, Tan RYC et al. COVID-19 severity and waning immunity after up to four mRNA vaccine doses in 73,608 patients with cancer and 621,475 matched controls in Singapore: A nationwide, cohort study. JAMA Oncol. 2023 Sep 1;9(9):1221-1229.
  • Tan HQ, Ong HH, Arjunan MK, Tan JYT, Tan RYC et al. Multi-center Evaluation of Artificial Intelligent Imaging and Clinical models for predicting Neoadjuvant chemotherapy response in Breast Cancer. Breast Cancer Res Treat. 2022 May; 193(1):121-138.
  • Tan RYC, Ong WS, Lee KH et al. HER2 expression and survival outcomes in HER2-low early breast cancer: an international multicenter cohort analysis and TCGA-METABRIC analysis. BMC medicine 2022 17 Mar; 20 (1), 1-15
  • Tan RYC, Camat MD, Ng M et al. HER2 positive rates are enriched amongst colorectal cancer brain metastases: a study amongst 1920 consecutive patients. Ann Oncol. 2018 Jul 1;29(7):1598-1603