基本信息
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个人简介
Research Interests
Artificial Intelligence, Brain & Neuroscience, Cancer
His graduate work was carried out under the mentorship of Professors Peter Dirks and Mike Tyers in the field of cancer stem cell biology. Notably, he designed high-throughput screening platforms to allow chemical profiling of neural precursors and identified novel regulators of neural and cancer stem cell function.
Following completion of his training in 2016, he joined the University Health Network and Princess Margaret Cancer Centre as a Neuropathologist and Clinician Scientist. His research team focuses on optimizing high-resolution mass spectrometry for proteomic analysis of clinical formalin fixed paraffin embedded (FFPE) samples to define novel protein-based biomarkers driving disease.
Similarly, his group is utilizing artificial intelligence to improve the efficiency and objectivity of repetitive and subjective tasks in pathology. These tools aim to augment efficiencies of physician-lead pathology workflows, quality assurance and personalized medicine initiatives. Together with proteomics, Dr. Diamandis aims to help modernize pathology, from a somewhat qualitative art, into a highly quantitative science.
Artificial Intelligence, Brain & Neuroscience, Cancer
His graduate work was carried out under the mentorship of Professors Peter Dirks and Mike Tyers in the field of cancer stem cell biology. Notably, he designed high-throughput screening platforms to allow chemical profiling of neural precursors and identified novel regulators of neural and cancer stem cell function.
Following completion of his training in 2016, he joined the University Health Network and Princess Margaret Cancer Centre as a Neuropathologist and Clinician Scientist. His research team focuses on optimizing high-resolution mass spectrometry for proteomic analysis of clinical formalin fixed paraffin embedded (FFPE) samples to define novel protein-based biomarkers driving disease.
Similarly, his group is utilizing artificial intelligence to improve the efficiency and objectivity of repetitive and subjective tasks in pathology. These tools aim to augment efficiencies of physician-lead pathology workflows, quality assurance and personalized medicine initiatives. Together with proteomics, Dr. Diamandis aims to help modernize pathology, from a somewhat qualitative art, into a highly quantitative science.
研究兴趣
论文共 95 篇作者统计合作学者相似作者
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Kevin Faust, Min Li Chen, Parsa Babaei Zadeh, Dimitrios George Oreopoulos,Alberto J. Leon, Evelyn Kamski-Hennekam, Marly Mikhail, Xianpi Duan, Xianzhao Duan, Mugeng Liu, Narges Ahangari, Raul Cotau,
biorxiv(2024)
Neuro-oncology advancesno. 1 (2024): vdae001-vdae001
Genes, chromosomes & cancerno. 9 (2023): 526-539
Proteomics (2023)
Daniel Xia,Klaudia Nowak, Alberto Jose Leon,Neil Winegarden, Ada Wong, Natalie Boruvka,Phedias Diamandis,Runjan Chetty,Trevor Pugh,Tong Zhang,Kenneth Aldape,Tracy Stockley,
Laboratory investigation; a journal of technical methods and pathologyno. 7 (2023): 100145-100145
Laboratory Investigation (2023)
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Richard James Sugden, Viet-Linh Luke Pham-Kim-Nghiem-Phu, Ingrid Campbell,Alberto Leon,Phedias Diamandis
Bioelectronic Medicineno. 1 (2023): 12-11
SCIENCE ADVANCESno. 39 (2023)
medRxiv (Cold Spring Harbor Laboratory) (2023)
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