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Hannah Coleman's research investigates T-cell responses to human papillomaviruses (HPVs) and their role in therapeutic vaccination for cervical intraepithelial neoplasia (CIN). She is the Principal Investigator on a grant from the NIH/National Cancer Institute, totaling $727,264, focused on understanding and enhancing these T-cell responses. Her work also extends to exploring novel applications of physics-informed deep generative learning for quantitative assessment in medical imaging, particularly for the retina. Additionally, Coleman's research has explored the predictive capabilities of urine metabolites for outcomes in lung cancer patients and the evaluation of DNA extraction protocols for studying cervical microbiota.
Coleman collaborates with several researchers at the University of Arkansas for Medical Sciences, including Mayumi Nakagawa and Takeo Shibata, with whom she has co-authored multiple publications. Her scholarship metrics include an h-index of 15, with 44 total publications and 765 total citations. She maintains an active lab website and has been recently active, with publications spanning from 2021 to a projected 2025 release.
Metrics
- h-index: 15
- Publications: 44
- Citations: 768
Selected Publications
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A Randomized Double-Blind Phase 2 Clinical Trial Treating Cervical Intraepithelial Neoplasia 2/3 with PepCan or <i>Candida</i> (2025)
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Immune responses in a phase 2 clinical trial of peptide-based therapeutic human papillomavirus vaccine, PepCan, versus <i>Candida</i> adjuvant alone in treating cervical intraepithelial neoplasia 2/3. (2024)
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A peptide-based human papillomavirus therapeutic vaccine, PepCan, or <i>Candida</i> adjuvant alone in treatment of cervical intraepithelial neoplasia 2/3 (CIN2/3). (2023)
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Expansion of Human Papillomavirus-Specific T Cells in Periphery and Cervix in a Therapeutic Vaccine Recipient Whose Cervical High-Grade Squamous Intraepithelial Lesion Regressed (2021)
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Evaluation of DNA extraction protocols from liquid-based cytology specimens for studying cervical microbiota (2021)
Federal Grants 1 $727,264 total
Understanding and Enhancing T-Cell Responses to High Risk Human Papillomaviruses-Renewal
Collaboration Network
Top Collaborators
- Expansion of Human Papillomavirus-Specific T Cells in Periphery and Cervix in a Therapeutic Vaccine Recipient Whose Cervical High-Grade Squamous Intraepithelial Lesion Regressed
- Evaluation of DNA extraction protocols from liquid-based cytology specimens for studying cervical microbiota
- A peptide-based human papillomavirus therapeutic vaccine, PepCan, or <i>Candida</i> adjuvant alone in treatment of cervical intraepithelial neoplasia 2/3 (CIN2/3).
- A Randomized Double-Blind Phase 2 Clinical Trial Treating Cervical Intraepithelial Neoplasia 2/3 with PepCan or <i>Candida</i>
- Immune responses in a phase 2 clinical trial of peptide-based therapeutic human papillomavirus vaccine, PepCan, versus <i>Candida</i> adjuvant alone in treating cervical intraepithelial neoplasia 2/3.
- Expansion of Human Papillomavirus-Specific T Cells in Periphery and Cervix in a Therapeutic Vaccine Recipient Whose Cervical High-Grade Squamous Intraepithelial Lesion Regressed
- Evaluation of DNA extraction protocols from liquid-based cytology specimens for studying cervical microbiota
- A peptide-based human papillomavirus therapeutic vaccine, PepCan, or <i>Candida</i> adjuvant alone in treatment of cervical intraepithelial neoplasia 2/3 (CIN2/3).
- A Randomized Double-Blind Phase 2 Clinical Trial Treating Cervical Intraepithelial Neoplasia 2/3 with PepCan or <i>Candida</i>
- Immune responses in a phase 2 clinical trial of peptide-based therapeutic human papillomavirus vaccine, PepCan, versus <i>Candida</i> adjuvant alone in treating cervical intraepithelial neoplasia 2/3.
- Evaluation of DNA extraction protocols from liquid-based cytology specimens for studying cervical microbiota
- A peptide-based human papillomavirus therapeutic vaccine, PepCan, or <i>Candida</i> adjuvant alone in treatment of cervical intraepithelial neoplasia 2/3 (CIN2/3).
- A Randomized Double-Blind Phase 2 Clinical Trial Treating Cervical Intraepithelial Neoplasia 2/3 with PepCan or <i>Candida</i>
- Immune responses in a phase 2 clinical trial of peptide-based therapeutic human papillomavirus vaccine, PepCan, versus <i>Candida</i> adjuvant alone in treating cervical intraepithelial neoplasia 2/3.
- Expansion of Human Papillomavirus-Specific T Cells in Periphery and Cervix in a Therapeutic Vaccine Recipient Whose Cervical High-Grade Squamous Intraepithelial Lesion Regressed
- A peptide-based human papillomavirus therapeutic vaccine, PepCan, or <i>Candida</i> adjuvant alone in treatment of cervical intraepithelial neoplasia 2/3 (CIN2/3).
- A Randomized Double-Blind Phase 2 Clinical Trial Treating Cervical Intraepithelial Neoplasia 2/3 with PepCan or <i>Candida</i>
- Immune responses in a phase 2 clinical trial of peptide-based therapeutic human papillomavirus vaccine, PepCan, versus <i>Candida</i> adjuvant alone in treating cervical intraepithelial neoplasia 2/3.
- Expansion of Human Papillomavirus-Specific T Cells in Periphery and Cervix in a Therapeutic Vaccine Recipient Whose Cervical High-Grade Squamous Intraepithelial Lesion Regressed
- A peptide-based human papillomavirus therapeutic vaccine, PepCan, or <i>Candida</i> adjuvant alone in treatment of cervical intraepithelial neoplasia 2/3 (CIN2/3).
- A Randomized Double-Blind Phase 2 Clinical Trial Treating Cervical Intraepithelial Neoplasia 2/3 with PepCan or <i>Candida</i>
- Immune responses in a phase 2 clinical trial of peptide-based therapeutic human papillomavirus vaccine, PepCan, versus <i>Candida</i> adjuvant alone in treating cervical intraepithelial neoplasia 2/3.
- Physics-informed deep generative learning for quantitative assessment of the retina
- Physics-informed deep generative learning for quantitative assessment of the retina
- Harnessing Advanced Machine Learning Techniques for Microscopic Vessel Segmentation in Pulmonary Fibrosis Using Novel Hierarchical Phase-Contrast Tomography Images
- Author Correction: Physics-informed deep generative learning for quantitative assessment of the retina
- Evaluation of DNA extraction protocols from liquid-based cytology specimens for studying cervical microbiota
- A peptide-based human papillomavirus therapeutic vaccine, PepCan, or <i>Candida</i> adjuvant alone in treatment of cervical intraepithelial neoplasia 2/3 (CIN2/3).
- A Randomized Double-Blind Phase 2 Clinical Trial Treating Cervical Intraepithelial Neoplasia 2/3 with PepCan or <i>Candida</i>
- Expansion of Human Papillomavirus-Specific T Cells in Periphery and Cervix in a Therapeutic Vaccine Recipient Whose Cervical High-Grade Squamous Intraepithelial Lesion Regressed
- A peptide-based human papillomavirus therapeutic vaccine, PepCan, or <i>Candida</i> adjuvant alone in treatment of cervical intraepithelial neoplasia 2/3 (CIN2/3).
- A Randomized Double-Blind Phase 2 Clinical Trial Treating Cervical Intraepithelial Neoplasia 2/3 with PepCan or <i>Candida</i>
- Expansion of Human Papillomavirus-Specific T Cells in Periphery and Cervix in a Therapeutic Vaccine Recipient Whose Cervical High-Grade Squamous Intraepithelial Lesion Regressed
- A peptide-based human papillomavirus therapeutic vaccine, PepCan, or <i>Candida</i> adjuvant alone in treatment of cervical intraepithelial neoplasia 2/3 (CIN2/3).
- A Randomized Double-Blind Phase 2 Clinical Trial Treating Cervical Intraepithelial Neoplasia 2/3 with PepCan or <i>Candida</i>
- Expansion of Human Papillomavirus-Specific T Cells in Periphery and Cervix in a Therapeutic Vaccine Recipient Whose Cervical High-Grade Squamous Intraepithelial Lesion Regressed
- A peptide-based human papillomavirus therapeutic vaccine, PepCan, or <i>Candida</i> adjuvant alone in treatment of cervical intraepithelial neoplasia 2/3 (CIN2/3).
- A Randomized Double-Blind Phase 2 Clinical Trial Treating Cervical Intraepithelial Neoplasia 2/3 with PepCan or <i>Candida</i>
- A peptide-based human papillomavirus therapeutic vaccine, PepCan, or <i>Candida</i> adjuvant alone in treatment of cervical intraepithelial neoplasia 2/3 (CIN2/3).
- A Randomized Double-Blind Phase 2 Clinical Trial Treating Cervical Intraepithelial Neoplasia 2/3 with PepCan or <i>Candida</i>
- Immune responses in a phase 2 clinical trial of peptide-based therapeutic human papillomavirus vaccine, PepCan, versus <i>Candida</i> adjuvant alone in treating cervical intraepithelial neoplasia 2/3.
- A peptide-based human papillomavirus therapeutic vaccine, PepCan, or <i>Candida</i> adjuvant alone in treatment of cervical intraepithelial neoplasia 2/3 (CIN2/3).
- A Randomized Double-Blind Phase 2 Clinical Trial Treating Cervical Intraepithelial Neoplasia 2/3 with PepCan or <i>Candida</i>
- Immune responses in a phase 2 clinical trial of peptide-based therapeutic human papillomavirus vaccine, PepCan, versus <i>Candida</i> adjuvant alone in treating cervical intraepithelial neoplasia 2/3.
- A peptide-based human papillomavirus therapeutic vaccine, PepCan, or <i>Candida</i> adjuvant alone in treatment of cervical intraepithelial neoplasia 2/3 (CIN2/3).
- A Randomized Double-Blind Phase 2 Clinical Trial Treating Cervical Intraepithelial Neoplasia 2/3 with PepCan or <i>Candida</i>
- Immune responses in a phase 2 clinical trial of peptide-based therapeutic human papillomavirus vaccine, PepCan, versus <i>Candida</i> adjuvant alone in treating cervical intraepithelial neoplasia 2/3.
- A peptide-based human papillomavirus therapeutic vaccine, PepCan, or <i>Candida</i> adjuvant alone in treatment of cervical intraepithelial neoplasia 2/3 (CIN2/3).
- A Randomized Double-Blind Phase 2 Clinical Trial Treating Cervical Intraepithelial Neoplasia 2/3 with PepCan or <i>Candida</i>
- Immune responses in a phase 2 clinical trial of peptide-based therapeutic human papillomavirus vaccine, PepCan, versus <i>Candida</i> adjuvant alone in treating cervical intraepithelial neoplasia 2/3.
- Physics-informed deep generative learning for quantitative assessment of the retina
- Physics-informed deep generative learning for quantitative assessment of the retina
- Author Correction: Physics-informed deep generative learning for quantitative assessment of the retina
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