Zahra Shakeri Hossein Abad, University of Toronto

Latest papers

Foundation metrics for evaluating effectiveness of healthcare conversations powered by generative AI.
NPJ digital medicine · 2024
A retrospective cohort analysis leveraging augmented intelligence to characterize long COVID in the electronic health record: A precision medicine framework.
PLOS digital health · 2023

All 2 publications

Latest funding

Integrating Personalized Risk Visualization to Influence Health Beliefs and Self-Management Behavioural Intentions in Young-Onset Type 2 Diabetes
CIHR · 2026 · Co-investigator
$642,600
Identifying Risk Factors and Informing Preventative Strategies to Reduce the Incidence of Mild Cognitive Impairment and Subsequent Dementia by Analysing the Canadian Longitudinal Study of Aging Using Advanced Statistical Methods and Machine Learning
CIHR · 2024 · Co-investigator
$371,025
Optimizing Cancer Prediction in Ontario: Leveraging Electronic Health Data and Machine Learning for Early Detection
CIHR · 2023 · Co-investigator
$100,000

All 5 grants and awards

2 publications.

01

Foundation metrics for evaluating effectiveness of healthcare conversations powered by generative AI.

Abbasian M, Khatibi E, Azimi I, Oniani D, Shakeri Hossein Abad Z, Thieme A, Sriram R, Yang Z, Wang Y, Lin B, Gevaert O, Li LJ, Jain R, Rahmani AM

NPJ digital medicine2024

DOI: 10.1038/s41746-024-01074-z PMID: 38553625

02

A retrospective cohort analysis leveraging augmented intelligence to characterize long COVID in the electronic health record: A precision medicine framework.

Strasser ZH, Dagliati A, Shakeri Hossein Abad Z, Klann JG, Wagholikar KB, Mesa R, Visweswaran S, Morris M, Luo Y, Henderson DW, Samayamuthu MJ, Consortium for Clinical Characterization of COVID-19 by EHR (4CE), Omenn GS, Xia Z, Holmes JH, Estiri H, Murphy SN

PLOS digital health2023

DOI: 10.1371/journal.pdig.0000301 PMID: 37490472

Integrating Personalized Risk Visualization to Influence Health Beliefs and Self-Management Behavioural Intentions in Young-Onset Type 2 Diabetes

Co-investigatorCIHR2026Project Grant

Principal investigators: Ke, Calvin

Keywords: Young-Onset Type 2 Diabetes

$642,600

Identifying Risk Factors and Informing Preventative Strategies to Reduce the Incidence of Mild Cognitive Impairment and Subsequent Dementia by Analysing the Canadian Longitudinal Study of Aging Using Advanced Statistical Methods and Machine Learning

Co-investigatorCIHR2024Project Grant

Principal investigators: Anderson, Geoffrey M

Keywords: Cognitive Decline; Dementia; High-Dimensional Data; Machine Learning; Observational Research; Statistical Methods

$371,025

Optimizing Cancer Prediction in Ontario: Leveraging Electronic Health Data and Machine Learning for Early Detection

Co-investigatorCIHR2023Project Grant - Priority Announcement: Early Detection/Cancer Prevention

Principal investigators: Kotsopoulos, Joanne

Keywords: Administrative Data; Biomarkers; Cancer; Early Detection; Health Services; Health Visualization; Machine Learning; Ontario; Routine Blood Work; Screening

$100,000

Optimizing Cancer Prediction in Ontario: Leveraging Electronic Medical Records and Machine Learning for Early Detection

Co-investigatorCIHR2023Project Grant - Priority Announcement: Early Detection/Cancer Prevention

Principal investigators: Kotsopoulos, Joanne

Keywords: Administrative Data; Biomarkers; Brca; Cancer; Complete Blood Counts; Health Services; Machine Learning; Observational; Platelets; Screening

$100,000

Health Informatics and Precision (Public) Health

Principal investigatorNSERC2022Canada Research Chairs

Principal investigators: Shakeri Hossein Abad, Zahra

Keywords: Health informatics; Digital health; Digital public health surveillance; Machine learning; Natural language processing; Precision (public) health; Information visualization; Health equity; Social and behavioural determinants of health; Patient outcome

$240,000

From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.

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Paper to mentionMention their NSERC grant from 2022

Subject: Prospective PhD student Dear Professor Shakeri Hossein Abad, My name is [your name], and I am a [your current degree or role] at [your institution]. I am applying for a PhD position starting in [term and year]. I read your paper "Foundation metrics for evaluating effectiveness of healthcare conversations powered by generative AI." (2024), and it connects closely to my own work on [your research topic]. [One or two sentences on what you did and what you learned.] I also saw your NSERC-funded project "Health Informatics and Precision (Public) Health" (2022), and I would be glad to contribute to work in that direction. Are you accepting new PhD students for [term and year]? I have attached my CV and transcripts, and I would be glad to talk at a time that suits you. Thank you for your time. Kind regards, [your name]