Prof. Catarina Eloy | Health Professions | Women Researcher Award
IPATIMUP, Portugal
Dr. Catarina Eloy is a distinguished pathologist and researcher specializing in digital pathology and oncologic diagnostics. She has significantly contributed to the integration of artificial intelligence (AI) in pathology, enhancing diagnostic accuracy and efficiency. As a key figure in the HEROHE Challenge, Dr. Eloy collaborated with international experts to develop AI models for predicting HER2 status in breast cancer using hematoxylin–eosin-stained whole-slide images. Her work emphasizes the importance of digital tools in modern pathology, aiming to bridge the gap between traditional histopathology and emerging computational methods. Dr. Eloy’s research has been pivotal in advancing the field, particularly in the context of the COVID-19 pandemic, where digital pathology played a crucial role in maintaining diagnostic services. Her contributions extend beyond research, as she actively participates in international collaborations and initiatives to promote the adoption of digital pathology worldwide. Dr. Eloy’s dedication to innovation and excellence has established her as a leading authority in the field, influencing both clinical practice and research methodologies in pathology.
Professional Profile
Education
Dr. Catarina Eloy’s educational background is rooted in medicine and pathology, providing a strong foundation for her career in digital pathology and oncologic diagnostics. She obtained her medical degree from a reputable institution, followed by specialized training in pathology. Her academic pursuits included advanced studies in digital pathology, where she focused on integrating computational tools with traditional histopathological techniques. Dr. Eloy’s commitment to education is evident through her involvement in various training programs and workshops aimed at disseminating knowledge in digital pathology. She has also contributed to academic literature, authoring several publications that serve as educational resources for both students and professionals in the field. Her educational journey reflects a continuous pursuit of knowledge and a dedication to advancing the field of pathology through both learning and teaching.
Professional Experience
Dr. Catarina Eloy has amassed extensive professional experience in pathology, with a particular focus on digital pathology and oncologic diagnostics. She has held key positions in various institutions, where she has been instrumental in implementing digital pathology workflows and integrating AI tools into diagnostic processes. Her professional journey includes collaborative projects like the HEROHE Challenge, where she worked alongside international experts to develop AI models for breast cancer diagnostics. Dr. Eloy has also contributed to global initiatives aimed at promoting digital pathology, especially during the COVID-19 pandemic, highlighting the importance of digital tools in maintaining diagnostic services. Her leadership and expertise have significantly influenced the adoption of digital pathology practices, enhancing diagnostic accuracy and efficiency across various healthcare settings.
Research Interests
Dr. Catarina Eloy’s research interests are centered around the integration of digital tools in pathology, with a particular emphasis on artificial intelligence and its applications in oncologic diagnostics. She is deeply involved in exploring how AI can enhance the accuracy and efficiency of pathological diagnoses, especially in breast cancer. Her work in the HEROHE Challenge exemplifies her commitment to developing AI models that can predict HER2 status from histopathological images, thereby contributing to personalized medicine. Additionally, Dr. Eloy is interested in the broader implications of digital pathology, including its role in global health and its potential to revolutionize diagnostic practices. Her research aims to bridge the gap between traditional pathology and emerging digital technologies, fostering innovation in diagnostic methodologies.
Research Skills
Dr. Catarina Eloy possesses a robust set of research skills that underpin her contributions to digital pathology and oncologic diagnostics. Her expertise includes proficiency in histopathological analysis, digital imaging, and the application of AI algorithms in diagnostic processes. She is adept at designing and conducting research studies that explore the integration of digital tools in pathology, as evidenced by her involvement in the HEROHE Challenge. Dr. Eloy is also skilled in collaborative research, working with multidisciplinary teams to advance the field of digital pathology. Her analytical capabilities and methodological rigor have been instrumental in producing high-impact research that informs both clinical practice and future studies.
Awards and Honors
Dr. Catarina Eloy’s contributions to pathology have been recognized through various awards and honors. Her work in digital pathology and AI integration has garnered international attention, leading to accolades that highlight her influence in the field. While specific awards are not detailed in the available sources, her leadership roles in significant projects like the HEROHE Challenge and her involvement in global initiatives during the COVID-19 pandemic underscore her esteemed position in the pathology community. These recognitions reflect her dedication to advancing pathology through innovation and collaboration.
Conclusion
Dr. Catarina Eloy’s career embodies a commitment to innovation, collaboration, and excellence in pathology. Her pioneering work in digital pathology and the integration of AI into diagnostic processes has significantly advanced the field, offering new avenues for accurate and efficient patient care. Through initiatives like the HEROHE Challenge, she has demonstrated the potential of interdisciplinary collaboration in developing cutting-edge diagnostic tools. Dr. Eloy’s contributions during the COVID-19 pandemic further highlight the critical role of digital pathology in maintaining healthcare services amidst global challenges. Her dedication to research, education, and professional development continues to inspire advancements in pathology, solidifying her status as a leading figure in the field.
Publications Top Notes
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Title: Classification of breast cancer histology images using convolutional neural networks
Authors: T. Araújo, G. Aresta, E. Castro, J. Rouco, P. Aguiar, C. Eloy, A. Polónia, …
Journal: PLoS ONE, 12(6): e0177544
Year: 2017
Citations: 1162 -
Title: Bach: Grand challenge on breast cancer histology images
Authors: G. Aresta, T. Araújo, S. Kwok, S. S. Chennamsetty, M. Safwan, V. Alex, …
Journal: Medical Image Analysis, 56: 122–139
Year: 2019
Citations: 742 -
Title: TERT promoter mutations are a major indicator of poor outcome in differentiated thyroid carcinomas
Authors: M. Melo, A. G. da Rocha, J. Vinagre, R. Batista, J. Peixoto, C. Tavares, …
Journal: The Journal of Clinical Endocrinology & Metabolism, 99(5): E754–E765
Year: 2014
Citations: 641 -
Title: Follicular thyroid carcinoma
Authors: M. Sobrinho-Simões, C. Eloy, J. Magalhães, C. Lobo, T. Amaro
Journal: Modern Pathology, 24: S10–S18
Year: 2011
Citations: 223 -
Title: Genetic alterations in poorly differentiated and undifferentiated thyroid carcinomas
Authors: P. Soares, J. Lima, A. Preto, P. Castro, J. Vinagre, R. Celestino, J. P. Couto, …
Journal: Current Genomics, 12(8): 609–617
Year: 2011
Citations: 127 -
Title: Best practice recommendations for the implementation of a digital pathology workflow in the anatomic pathology laboratory by the European Society of Digital and Integrative Pathology
Authors: F. Fraggetta, V. L’imperio, D. Ameisen, R. Carvalho, S. Leh, T. R. Kiehl, …
Journal: Diagnostics, 11(11): 2167
Year: 2021
Citations: 92 -
Title: NIS expression in thyroid tumors, relation with prognosis clinicopathological and molecular features
Authors: C. Tavares, M. J. Coelho, C. Eloy, M. Melo, A. G. da Rocha, A. Pestana, …
Journal: Endocrine Connections, 7(1): 78–90
Year: 2018
Citations: 85 -
Title: Automatic classification of tissue malignancy for breast carcinoma diagnosis
Authors: I. Fondón, A. Sarmiento, A. I. García, M. Silvestre, C. Eloy, A. Polónia, P. Aguiar
Journal: Computers in Biology and Medicine, 96: 41–51
Year: 2018
Citations: 83 -
Title: Computational pathology in 2030: a Delphi study forecasting the role of AI in pathology within the next decade
Authors: M. A. Berbís, D. S. McClintock, A. Bychkov, J. Van der Laak, L. Pantanowitz, …
Journal: EBioMedicine, 88
Year: 2023
Citations: 78 -
Title: Cribriform-morular variant of thyroid carcinoma: a neoplasm with distinctive phenotype associated with the activation of the WNT/β-catenin pathway
Authors: J. M. Cameselle-Teijeiro, D. Peteiro-González, J. Caneiro-Gómez, …
Journal: Modern Pathology, 31(8): 1168–1179
Year: 2018
Citations: 72