Dr Farhannah Aly

Dr Farhannah Aly

Conjoint Lecturer

MB ChB (Honours), MPhil, FRANZCR

Medicine & Health
School of Clinical Medicine

Dr Farhannah Aly MB ChB (Hons), FRANZCR, MPhil, is a research radiation oncologist at the Ingham Institute for Applied Medical Research and holds a conjoint lecturer appointment at the Southwest Sydney Clinical School UNSW. She completed her medical training in 1998 at the University of Birmingham, UK. She is a Fellow of the Royal Australian and New Zealand College of Radiologists (RANZCR) and attained a Masters of Philosophy degree from the University of Wollongong in 2018. She currently is a member of the RANZCR Professional Practice Committee, RANZCR Mentoring working group and the SPHERE Cancer Clinical Academic Group Education Committee.

Farhannah has engaged with the community through her involvement with the Sisters Cancer Support Group, a support group for women from multicultural backgrounds, as well as running a weekly school science club for 5 years. Farhannah is committed to following best practice to facilitate open and reproducible research and to reduce research waste. 

  • Journal articles | 2024
    Aly F; Bucknell N; Kenny L; Hegi-Johnson F, 2024, 'Part-Time Training: Leveling the Playing Field in Academic Oncology', International Journal of Radiation Oncology Biology Physics, 120, pp. 319 - 322, http://dx.doi.org/10.1016/j.ijrobp.2024.04.005
    Journal articles | 2023
    Aly F; Hansen CR; Al Mouiee D; Sundaresan P; Haidar A; Vinod S; Holloway L, 2023, 'Outcome prediction models incorporating clinical variables for Head and Neck Squamous cell Carcinoma: A systematic review of methodological conduct and risk of bias', Radiotherapy and Oncology, 183, http://dx.doi.org/10.1016/j.radonc.2023.109629
    Journal articles | 2023
    Aly F; Hansen CR; Al Mouiee D; Sundaresan P; Haidar A; Vinod S; Holloway L, 2023, 'PO-1236 Systematic review of the methodological conduct of Head and Neck SCC outcome prediction models', Radiotherapy and Oncology, 182, pp. S989 - S991, http://dx.doi.org/10.1016/s0167-8140(23)09233-2
    Journal articles | 2023
    Haidar A; Field M; Batumalai V; Cloak K; Al Mouiee D; Chlap P; Huang X; Chin V; Aly F; Carolan M; Sykes J; Vinod SK; Delaney GP; Holloway L, 2023, 'Standardising Breast Radiotherapy Structure Naming Conventions: A Machine Learning Approach', Cancers, 15, http://dx.doi.org/10.3390/cancers15030564
    Journal articles | 2022
    Brighi C; Keall PJ; Holloway LC; Walker A; Whelan B; De Witt Hamer PC; Verburg N; Aly F; Chen C; Koh ES; Waddington DEJ, 2022, 'An investigation of the conformity, feasibility, and expected clinical benefits of multiparametric MRI-guided dose painting radiotherapy in glioblastoma', Neuro-Oncology Advances, 4, http://dx.doi.org/10.1093/noajnl/vdac134
    Journal articles | 2022
    Brighi C; Verburg N; Koh ES; Walker A; Chen C; Pillay S; de Witt Hamer PC; Aly F; Holloway LC; Keall PJ; Waddington DEJ, 2022, 'Repeatability of radiotherapy dose-painting prescriptions derived from a multiparametric magnetic resonance imaging model of glioblastoma infiltration', Physics and Imaging in Radiation Oncology, 23, pp. 8 - 15, http://dx.doi.org/10.1016/j.phro.2022.06.004
    Journal articles | 2022
    Duncan S; Walker A; Kumar S; Dundas K; Bell K; Wallis A; Surjan Y; Aly F; Lee M, 2022, 'Novel methodology to quantify dehydration in head and neck cancer radiotherapy using DIXON MRI', Journal of Medical Radiation Sciences, 69, pp. 448 - 455, http://dx.doi.org/10.1002/jmrs.605
    Journal articles | 2022
    Ghaffari M; Samarasinghe G; Jameson M; Aly F; Holloway L; Chlap P; Koh ES; Sowmya A; Oliver R, 2022, 'Automated post-operative brain tumour segmentation: A deep learning model based on transfer learning from pre-operative images', Magnetic Resonance Imaging, 86, pp. 28 - 36, http://dx.doi.org/10.1016/j.mri.2021.10.012
    Journal articles | 2022
    Haidar A; Aly F; Holloway L, 2022, 'PDCP: A Set of Tools for Extracting, Transforming, and Loading Radiotherapy Data from the Orthanc Research PACS', Software, 1, pp. 215 - 222, http://dx.doi.org/10.3390/software1020009
    Journal articles | 2022
    Hansen CR; Price G; Field M; Sarup N; Zukauskaite R; Johansen J; Eriksen JG; Aly F; McPartlin A; Holloway L; Thwaites D; Brink C, 2022, 'Open-source distributed learning validation for a larynx cancer survival model following radiotherapy', Radiotherapy and Oncology, 173, pp. 319 - 326, http://dx.doi.org/10.1016/j.radonc.2022.06.009
    Journal articles | 2022
    Rønn Hansen C; Price G; Field M; Sarup N; Zukauskaite R; Johansen J; Eriksen JG; Aly F; McPartlin A; Holloway L; Thwaites D; Brink C, 2022, 'Larynx cancer survival model developed through open-source federated learning', Radiotherapy and Oncology, 176, pp. 179 - 186, http://dx.doi.org/10.1016/j.radonc.2022.09.023
    Journal articles | 2022
    Zukauskaite R; Rumley CN; Hansen CR; Jameson MG; Trada Y; Johansen J; Gyldenkerne N; Eriksen JG; Aly F; Christensen RL; Lee M; Brink C; Holloway L, 2022, 'Delineation uncertainties of tumour volumes on MRI of head and neck cancer patients', Clinical and Translational Radiation Oncology, 36, pp. 121 - 126, http://dx.doi.org/10.1016/j.ctro.2022.08.005
    Journal articles | 2021
    Brighi C; Waddington D; Walker A; Holloway L; Aly F; Koh E; Keall P, 2021, 'OC-0398 Stability of multiparametric MR imaging biomarker-derived dose prescriptions for glioblastoma', Radiotherapy and Oncology, vol. 161, pp. S294 - S296, http://dx.doi.org/10.1016/s0167-8140(21)06885-7
    Journal articles | 2019
    Aly F; Miller AA; Jameson MG; Metcalfe PE, 2019, 'A prospective study of weekly intensity modulated radiation therapy plan adaptation for head and neck cancer: improved target coverage and organ at risk sparing', Australasian Physical and Engineering Sciences in Medicine, 42, pp. 43 - 51, http://dx.doi.org/10.1007/s13246-018-0707-y
    Journal articles | 2019
    Jameson M; Martin P; Aly F; Koh ES; Rai R; Estall V; Liney G; Metcalfe P; Holloway L, 2019, 'OC-024: Changes in brain tumour perfusion and diffusion characteristic during treatment', Radiotherapy and Oncology, vol. 141, pp. S11 - S11, http://dx.doi.org/10.1016/s0167-8140(20)30430-8
    Journal articles | 2010
    2010, 'Clinical/disease site: Target and volume definition and imaging', Radiotherapy and Oncology, vol. 96, pp. S382 - S392, http://dx.doi.org/10.1016/s0167-8140(10)80069-6
    Journal articles | 1998
    Hassam F; Brockington I, 1998, 'Obsessions of foetal sexual abuse', Archives of Women's Mental Health, 1, pp. 193 - 195, http://dx.doi.org/10.1007/s007370050028
  • Conference Papers | 2022
    Brighi C; Waddington D; Aly F; Koh E-S; Walker A; de Witt Hamer P; Verburg N; Holloway L; Whelan B; Chen C; Keall P, 2022, 'Implementation of a Multiparametric MRI Model of Glioma Infiltration for Dose Painting Radiotherapy', in ISMRM Annual Meeting, ISMRM, presented at Joint Annual Meeting ISMRM-ESMRMB ISMRT 31st Annual Meeting, 07 May 2022 - 12 May 2022, http://dx.doi.org/10.58530/2022/3757
    Preprints | 2022
    Haidar A; Field M; Batumalai V; Cloak K; Mouiee DA; Chlap P; Huang X; Chin V; Aly F; Carolan M; Sykes J; Vinod SK; Delaney GP; Holloway L, 2022, Standardising Breast Radiotherapy Structure Naming Conventions: A Machine Learning Approach, http://dx.doi.org/10.1101/2022.10.14.22280859
    Conference Abstracts | 2022
    Hansen CR; Field M; Price G; Sarup N; Zukauskaite R; Johansen J; Eriksen JG; Aly F; McPartlin A; Holloway L; Thwaites DI; Brink C, 2022, 'OC-0754 TRIPOD level-4 validation for a larynx cancer survival model using distributed learning', in Radiotherapy and Oncology, Elsevier BV, Vol. 170, pp. S667 - S668, http://dx.doi.org/10.1016/s0167-8140(22)02660-3
    Conference Posters | 2021
    Brighi C; Waddington D; Walker A; Holloway L; Aly F; Koh E; Keall P, 2021, 'OC-0398 Stability of multiparametric MR imaging biomarker-derived dose prescriptions for glioblastoma', Vol. 161, pp. S294 - S296, http://dx.doi.org/10.1016/s0167-8140(21)06885-7
    Conference Posters | 2020
    Zukauskaite R; Rumley CN; Hansen CR; Jameson M; Trada Y; Johansen J; Gyldenkerne N; Eriksen JG; Aly F; Heinke M; Christensen RL; Lee M; Brink C; Holloway L, 2020, 'PO-0799: Target delineation uncertainties using MRI for H&N cancer patients', Vol. 152, pp. S434 - S434, http://dx.doi.org/10.1016/s0167-8140(21)00816-1
    Conference Papers | 2020
    Zukauskaite R; Rumley CN; Hansen CR; Jameson M; Trada Y; Johansen J; Gyldenkerne N; Eriksen JG; Aly F; Heinke M; Christensen RL; Lee M; Brink C; Holloway L, 2020, 'Target delineation uncertainties using MRI for H&N cancer patients', in RADIOTHERAPY AND ONCOLOGY, ELSEVIER IRELAND LTD, pp. S434 - S434, https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000648572701296&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=891bb5ab6ba270e68a29b250adbe88d1
    Conference Papers | 2019
    Jameson M; Martin P; Aly F; Koh ES; Rai R; Estall V; Liney G; Metcalfe P; Holloway L, 2019, 'OC-024: Changes in brain tumour perfusion and diffusion characteristic during treatment', in Radiotherapy and Oncology, Elsevier BV, pp. S11 - S11, http://dx.doi.org/10.1016/s0167-8140(20)30430-8
    Conference Papers | 2010
    Miller A; Aly E; Arnold A; Dixon J, 2010, 'PAROTID CHANGES DURING MORPHOLOGY GUIDED RADIATION THERAPY (AN ADAPTIVE APPROACH) IN HEAD AND NECK CANCERS.', in RADIOTHERAPY AND ONCOLOGY, ELSEVIER IRELAND LTD, pp. S389 - S389, https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000433351602453&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=891bb5ab6ba270e68a29b250adbe88d1
    Conference Posters | 2010
    2010, 'Clinical/disease site: Target and volume definition and imaging', Vol. 96, pp. S382 - S392, http://dx.doi.org/10.1016/s0167-8140(10)80069-6

Co-investigator on 3 successful grant applications.

Date

Investigators

Title

Funding source

Funds awarded

2019

Haider A, Holloway L, Field M, Aly F, Sykes J, Carolan M

Ensemble learning in Cancer Related Applications

The Ingham Institute Data and Cancer Research Grant

$25,000

2019

Haider A, Holloway L, Field M, Huang X, Kaadan N, Aly F, Batumalai V, Carolan M, Sykes J

Unsupervised Machine Learning for Detecting and Fixing Variations in Cancer Patients Medical Records

The Ingham Institute Data and Cancer Research Grant

$15,000

2019

Jameson MG, Holloway L, Project team members: Aly F, Rai R, Estall V, Liney GP, Koh ES.

Improving brain cancer outcomes with MRI guided adaptive radiotherapy (INTREPID)

NSW Cancer Institute, Early Career fellowship Grant

$480,000 (over 3y)

2008- Elekta Award for The advances in the use of technology in Radiation Therapy. Awarded at Royal Australian College of Radiologists Annual Scientific Meeting for presentation: “Design and development of a protocol for adaptive intensity modulated radiotherapy in head and neck cancers”

Farhannah's  primary research interest is the clinical implementation of statistical or machine learning outcome prediction models in patients with head and neck cancer. Farhannah collaborates with other researchers and clinicians, both in Australia and overseas. Her collaborations include data science, head and neck cancer and brain cancer projects. She is currently undertaking a PhD at the University of New South Wales (UNSW).

Farhannah is currently a member of the RANZCR Professional Practice Committee, RANZCR Mentoring working group and the SPHERE Cancer Clinical Academic Group Education Committee.

Farhannah has engaged with the community through her involvement with the Sisters Cancer Support Group, a support group for women from multicultural backgrounds, as well as running a weekly school science club for 5 years.