Mahima Saini
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Also affiliated: University of Arkansas Medical Center (2026)
Research Areas
Biomedical Subjects
Biography and Research Information
OverviewAI-generated summary
Mahima Saini's research focuses on investigating health disparities, particularly in the context of persistent poverty areas and their impact on cancer outcomes. Her work has examined colorectal cancer survival rates in these underserved regions and explored the coverage of healthcare databases for studying such disparities. Saini has also contributed to research on the characteristics of patients and tumors associated with specific cancer treatments, including neoadjuvant chemotherapy for breast cancer and the efficacy of immune checkpoint inhibitors for triple-negative breast cancer.
Her research involves collaborations with colleagues at the University of Arkansas for Medical Sciences, including Cheng Peng, Jonathan Laryea, Mario Schootman, and Chenghui Li. Saini's publications also extend to the regulatory landscape of artificial intelligence and machine learning in cardiovascular devices.
Metrics
- h-index: 2
- Publications: 6
- Citations: 9
Selected Publications
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HSD37 EXAMINING PATIENT AND TUMOR CHARACTERISTICS ASSOCIATED WITH THE RECEIPT OF NEOADJUVANT CHEMOTHERAPY (NAC) AMONG WOMEN WITH EARLY-STAGE HORMONE RECEPTOR-POSITIVE BREAST CANCER (2026)
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CO145 EFFICACY AND EFFECTIVENESS OF IMMUNE CHECKPOINT INHIBITORS IN TRIPLE-NEGATIVE BREAST CANCER: A SYSTEMATIC LITERATURE REVIEW (2026)
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Regulatory Challenges and Opportunities: A Review of U.S. Food and Drug Administration-Approved Artificial Intelligence and Machine Learning-Enabled Cardiovascular Devices (2025)
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Colorectal cancer survival disparities in persistent poverty areas (2025)
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Investigating the coverage of the Arkansas All-Payer Claims Database for examining health disparities related to persistent poverty areas in colorectal cancer patients (2024)
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Sampling coverage of the Arkansas all‐payer claims database by County's persistent poverty designation (2024)
Collaboration Network
Top Collaborators
- Sampling coverage of the Arkansas all‐payer claims database by County's persistent poverty designation
- Colorectal cancer survival disparities in persistent poverty areas
- Investigating the coverage of the Arkansas All-Payer Claims Database for examining health disparities related to persistent poverty areas in colorectal cancer patients
- HSD37 EXAMINING PATIENT AND TUMOR CHARACTERISTICS ASSOCIATED WITH THE RECEIPT OF NEOADJUVANT CHEMOTHERAPY (NAC) AMONG WOMEN WITH EARLY-STAGE HORMONE RECEPTOR-POSITIVE BREAST CANCER
- Sampling coverage of the Arkansas all‐payer claims database by County's persistent poverty designation
- Colorectal cancer survival disparities in persistent poverty areas
- Investigating the coverage of the Arkansas All-Payer Claims Database for examining health disparities related to persistent poverty areas in colorectal cancer patients
- Sampling coverage of the Arkansas all‐payer claims database by County's persistent poverty designation
- Colorectal cancer survival disparities in persistent poverty areas
- Investigating the coverage of the Arkansas All-Payer Claims Database for examining health disparities related to persistent poverty areas in colorectal cancer patients
- Sampling coverage of the Arkansas all‐payer claims database by County's persistent poverty designation
- Colorectal cancer survival disparities in persistent poverty areas
- Investigating the coverage of the Arkansas All-Payer Claims Database for examining health disparities related to persistent poverty areas in colorectal cancer patients
- Colorectal cancer survival disparities in persistent poverty areas
- Investigating the coverage of the Arkansas All-Payer Claims Database for examining health disparities related to persistent poverty areas in colorectal cancer patients
- Investigating the coverage of the Arkansas All-Payer Claims Database for examining health disparities related to persistent poverty areas in colorectal cancer patients
- Investigating the coverage of the Arkansas All-Payer Claims Database for examining health disparities related to persistent poverty areas in colorectal cancer patients
- Investigating the coverage of the Arkansas All-Payer Claims Database for examining health disparities related to persistent poverty areas in colorectal cancer patients
- Colorectal cancer survival disparities in persistent poverty areas
- Regulatory Challenges and Opportunities: A Review of U.S. Food and Drug Administration-Approved Artificial Intelligence and Machine Learning-Enabled Cardiovascular Devices
- Regulatory Challenges and Opportunities: A Review of U.S. Food and Drug Administration-Approved Artificial Intelligence and Machine Learning-Enabled Cardiovascular Devices
- Regulatory Challenges and Opportunities: A Review of U.S. Food and Drug Administration-Approved Artificial Intelligence and Machine Learning-Enabled Cardiovascular Devices
- Regulatory Challenges and Opportunities: A Review of U.S. Food and Drug Administration-Approved Artificial Intelligence and Machine Learning-Enabled Cardiovascular Devices
- CO145 EFFICACY AND EFFECTIVENESS OF IMMUNE CHECKPOINT INHIBITORS IN TRIPLE-NEGATIVE BREAST CANCER: A SYSTEMATIC LITERATURE REVIEW
- CO145 EFFICACY AND EFFECTIVENESS OF IMMUNE CHECKPOINT INHIBITORS IN TRIPLE-NEGATIVE BREAST CANCER: A SYSTEMATIC LITERATURE REVIEW
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