# Cancer Training in Disparities and Equity (C-TIDE)

> **NIH NIH T32** · UNIVERSITY OF MIAMI CORAL GABLES · 2021 · $86,400

## Abstract

C-TIDE Supplement to Expand Training to AI/ML Approaches in Cancer Control and Cancer Disparities
The complexity of how biological, behavioral, psychosocial, cultural, and socioeconomic and other determinants
of health contribute to disparities in cancer incidence and influence progression, recurrence, adjustment, and
survival remains poorly understood. This limited understanding is in part due to a combination of complex
interactions across determinants of these disparities as well as a limited workforce that is well trained in health
disparities research. The South Florida Cancer Control Training in Disparities and Equity (South Florida
C-TIDE; NCI T32 CA251064), offers an innovative approach and ideally suited research environment to train
the next generation of cancer researchers in cancer disparities across the cancer control continuum. The C-
TIDE T32 grant (a) implements comprehensive, multidisciplinary, and community-engaged research (CER)
research training that addresses multilevel determinants of cancer disparities across traditional and unique
underserved communities that experience cancer disparities; (b) provides immersive training opportunities in
diverse educational and community environments for enhanced didactic and experiential learning; and (c)
increases diversity in the workforce by aiming to recruit trainees who are racial/ethnic minorities, part the LGBTQ
community, have disabilities, and other underrepresented groups in the cancer disparities workforce. Given these
complex, multilevel interactions that likely influence cancer disparities across several communities, work aimed
at reducing such disparities also necessitates the implementation of novel and advanced methodology
such as artificial intelligence (AI) and machine learning (ML): two training components that are currently
unavailable to C-TIDE trainees. This supplement will fill critical training gaps in our training plan by providing
highly relevant advanced methodology in AI/ML that is applicable to research in cancer equity. This methodology
will provide skills to our trainees and mentors to apply AI/ML technologies in several research approaches that
can, for example, identify risk factors that drive disparities in incidence and early detection; develop risk prediction
models by assessing patient data to better understand and develop risk stratification and disease progression
trajectories; and evaluate predictors of disparate clinical outcomes across our specific populations based on
large sets of community, clinical, treatment and care delivery data. The aims of this supplement are: Aim S1:
Train 6 fellows and 4 mentors on AI/ML methodology; and Aim S2: Apply AI/ML methodology to trainee’s: (a)
ongoing and/or planned research projects, and (b) grants under preparation for future submissions. Didactics,
curricula, and other AI/ML training activities are supported by the Institute for Data Science and Computing
(IDSC). Training will involve: a) data processing un...

## Key facts

- **NIH application ID:** 10405977
- **Project number:** 3T32CA251064-02S1
- **Recipient organization:** UNIVERSITY OF MIAMI CORAL GABLES
- **Principal Investigator:** ERIN N KOBETZ
- **Activity code:** T32 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2021
- **Award amount:** $86,400
- **Award type:** 3
- **Project period:** 2020-07-01 → 2025-06-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10405977

## Citation

> US National Institutes of Health, RePORTER application 10405977, Cancer Training in Disparities and Equity (C-TIDE) (3T32CA251064-02S1). Retrieved via AI Analytics 2026-05-24 from https://api.ai-analytics.org/grant/nih/10405977. Licensed CC0.

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