Ali Bashashati

Academic Appointment

Assistant Professor

Research Focus

Cancer

Degrees / Designations

PhD

Contact Info

www.aimlab.ca

ali.bashashati@ubc.ca

ABashashati

alibashashati/

Biography

Dr. Bashashati is currently the director of artificial intelligence (AI) research in the Ovarian Cancer Research Program (OVCARE) at BC Cancer as well as a faculty member in the Department of Pathology & Laboratory Medicine and the School of Biomedical Engineering (SBME) at the University of British Columbia.

Dr. Bashashati’s research area lies at the interface between computational, engineering and biomedical sciences. He is interested in developing machine learning algorithms to combine various sources of 'omics and imaging data (including digitized pathology slides) in the context of cancer. Dr. Bashashati runs BC’s Translational Digital Pathology AI program and works closely with clinicians and biologists across various health sites. Through AI, they intend to improve pathology efficiency, identify new biomarkers for treatment selection and derive biological insights that can be studied in various disease models in the lab.

News and Awards

Enhancing ovarian cancer diagnostics using AI technology

Oct 13, 2022

Publications

The Journal of pathology -
Synthesis of diagnostic quality cancer pathology images by generative adversarial networks.
Levine AB, Peng J, Farnell D, Nursey M, Wang Y, Naso JR, Ren H, Farahani H, Chen C, Chiu D, Talhouk A, Sheffield B, Riazy M, Ip PP, Parra-Herran C, Mills A, Singh N, Tessier-Cloutier B, Salisbury T, Lee J, Salcudean T, Jones SJ, Huntsman DG, Gilks CB, Yip S, Bashashati A
Nature medicine -
TMEM30A loss-of-function mutations drive lymphomagenesis and confer therapeutically exploitable vulnerability in B-cell lymphoma.
Ennishi D, Healy S, Bashashati A, Saberi S, Hother C, Mottok A, Chan FC, Chong L, Abraham L, Kridel R, Boyle M, Meissner B, Aoki T, Takata K, Woolcock BW, Viganò E, Gold M, Molday LL, Molday RS, Telenius A, Li MY, Wretham N, Dos Santos N, Wong M, Viller NN, Uger RA, Duns G, Baticados A, Madero A, Bristow BN, Farinha P, Slack GW, Ben-Neriah S, Lai D, Zhang AW, Salehi S, Shulha HP, Chiu DS, Mostafavi S, Gerrie AS, Huang DW, Rushton C, Villa D, Sehn LH, Savage KJ, Mungall AJ, Weng AP, Bally MB, Morin RD, Cohen Freue GV, Staudt LM, Connors JM, Marra MA, Shah SP, Gascoyne RD, Scott DW, Steidl C
Histopathology -
The coming 15 years in gynaecological pathology: digitisation, artificial intelligence, and new technologies.
Farnell DA, Huntsman D, Bashashati A
Nature genetics -
Genomic consequences of aberrant DNA repair mechanisms stratify ovarian cancer histotypes.
Wang YK, Bashashati A, Anglesio MS, Cochrane DR, Grewal DS, Ha G, McPherson A, Horlings HM, Senz J, Prentice LM, Karnezis AN, Lai D, Aniba MR, Zhang AW, Shumansky K, Siu C, Wan A, McConechy MK, Li-Chang H, Tone A, Provencher D, de Ladurantaye M, Fleury H, Okamoto A, Yanagida S, Yanaihara N, Saito M, Mungall AJ, Moore R, Marra MA, Gilks CB, Mes-Masson AM, McAlpine JN, Aparicio S, Huntsman DG, Shah SP
The Journal of pathology -
Distinct evolutionary trajectories of primary high-grade serous ovarian cancers revealed through spatial mutational profiling.
Bashashati A, Ha G, Tone A, Ding J, Prentice LM, Roth A, Rosner J, Shumansky K, Kalloger S, Senz J, Yang W, McConechy M, Melnyk N, Anglesio M, Luk MT, Tse K, Zeng T, Moore R, Zhao Y, Marra MA, Gilks B, Yip S, Huntsman DG, McAlpine JN, Shah SP

Ali Bashashati

Biography

News and Awards

Enhancing ovarian cancer diagnostics using AI technology

Publications

Synthesis of diagnostic quality cancer pathology images by generative adversarial networks.

TMEM30A loss-of-function mutations drive lymphomagenesis and confer therapeutically exploitable vulnerability in B-cell lymphoma.

The coming 15 years in gynaecological pathology: digitisation, artificial intelligence, and new technologies.

Genomic consequences of aberrant DNA repair mechanisms stratify ovarian cancer histotypes.

Distinct evolutionary trajectories of primary high-grade serous ovarian cancers revealed through spatial mutational profiling.

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