Catarina Eloy | Health Professions | Women Researcher Award

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

  • 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

Shibo Cheng | Translational Medicine | Best Researcher Award

Assoc. Prof. Dr. Shibo Cheng | Translational Medicine | Best Researcher Award

School of Laboratory Medicine at Hubei University of Chinese Medicine, China

Dr. Shi-Bo Cheng, an accomplished researcher in Analytical Chemistry, is currently an Associate Professor at the School of Laboratory Medicine, Hubei University of Chinese Medicine. His academic journey has been characterized by a focus on developing novel molecular diagnostic technologies through interdisciplinary collaboration. With expertise spanning nanomaterials, microfluidics, and machine learning, Dr. Cheng has made significant advancements in bioanalysis and translational medicine. His contributions have been documented in over 16 high-impact publications in prestigious journals, addressing critical challenges in disease diagnosis and personalized medicine. His patents further reflect his dedication to bridging the gap between innovation and practical applications. Dr. Cheng’s career progression from postdoctoral research at renowned U.S. institutions to an academic leadership role in China highlights his global expertise and commitment to advancing science.

Professional Profile

Education

Dr. Cheng completed his Ph.D. in Analytical Chemistry from Wuhan University (2014–2019), a premier institution in China, under the mentorship of Prof. Wei-Hua Huang. His doctoral research laid the foundation for his expertise in bioanalysis, particularly in developing advanced diagnostic tools for diseases. Prior to this, he earned a Bachelor’s degree in Chemistry from the same institution (2010–2014), gaining a strong foundation in analytical methodologies and laboratory techniques. His education reflects rigorous training and a focus on innovation in analytical sciences.

Professional Experience

Dr. Cheng’s professional journey reflects steady growth and contributions to cutting-edge research. From 2020 to 2024, he served as a postdoctoral researcher in the Department of Chemistry at the University of Florida and the University of Kansas, where he engaged in advanced studies on extracellular vesicle analysis and cancer diagnostics. In 2024, he joined Hubei University of Chinese Medicine as an Associate Professor, where he continues to lead research initiatives in bioanalysis. His experience showcases a blend of academic excellence and practical innovation across global research environments.

Research Interests

Dr. Cheng’s research focuses on bioanalysis and translational medicine, with an emphasis on developing advanced molecular diagnostic technologies. His interests lie in using nanomaterials and microfluidic systems to analyze disease biomarkers such as circulating tumor cells, extracellular vesicles, and proteins. Furthermore, he integrates machine learning into diagnostic model construction for applications in clinical diagnostics, personalized medicine, and dynamic treatment monitoring. Dr. Cheng’s interdisciplinary approach aims to address pressing medical challenges and improve patient outcomes.

Research Skills

Dr. Cheng possesses exceptional skills in nanomaterial synthesis, microfluidic device fabrication, and advanced bioanalytical techniques. He is proficient in designing and implementing innovative diagnostic platforms, particularly for disease biomarker analysis. His expertise extends to employing machine learning algorithms for constructing diagnostic models, bridging the gap between analytical chemistry and computational biology. With hands-on experience in electrochemical detection, extracellular vesicle analysis, and circulating tumor cell isolation, Dr. Cheng’s research skills exemplify his innovative and multidisciplinary approach to solving complex biomedical problems.

Awards and Honors

Dr. Cheng’s contributions to research have been recognized through his publications in high-impact journals and his leadership in securing three innovative patents. These patents reflect his ability to translate scientific discoveries into practical applications. Additionally, his appointment as Associate Professor at Hubei University of Chinese Medicine signifies recognition of his expertise and impact. While specific awards are not highlighted, his consistent research output and career advancements underscore his status as a distinguished researcher in his field.

Conclusion

Dr. Shi-Bo Cheng is a trailblazing researcher whose work bridges chemistry, biology, and engineering to tackle critical challenges in medical diagnostics. His innovative contributions in bioanalysis, supported by his educational background and professional experience, demonstrate his commitment to advancing science for societal benefit. With a proven track record of impactful research and practical innovations, Dr. Cheng is well-positioned as a leader in his field and a strong contender for the Best Researcher Award.

Publication Top Notes

  • Title: Dual Gold Nanostructures-Based Stretchable Electrochemiluminescence Sensors for Hydrogen Peroxide Monitoring in Endothelial Mechanotransduction
    Authors: Liu, H., Wang, Q., Cheng, S.-B., Huang, W.-H., Chen, M.-M.
    Year: 2024
  • Title: Intravascular elimination of circulating tumor cells and cascaded embolization with multifunctional 3D tubular scaffolds
    Authors: Chen, Y., Li, C., Yang, J., Yuan, G., Xie, M.
    Year: 2024
  • Title: Metal-organic framework-interfaced ELISA probe enables ultrasensitive detection of extracellular vesicle biomarkers
    Authors: Shi, J., Barman, S.C., Cheng, S., Zeng, Y.
    Year: 2024
    Citations: 2
  • Title: Hydromechanical Modulation of Enzymatic Kinetics Using Microfluidically Configurable Nanoconfinement Arrays
    Authors: Wen, Y., Li, Y., Chu, H.C.W., Cheng, S., Zeng, Y.
    Year: 2024
  • Title: Lineage specific extracellular vesicle-associated protein biomarkers for the early detection of high grade serous ovarian cancer
    Authors: Trinidad, C.V., Pathak, H.B., Cheng, S., Zeng, Y., Godwin, A.K.
    Year: 2023
    Citations: 4
  • Title: Reversible capture and release of circulating tumor cells on a three-dimensional conductive interface to improve cell purity for gene mutation analysis
    Authors: Wang, Y.-K., Wang, M., Cheng, S.-B., Xie, M., Huang, W.-H.
    Year: 2023
    Citations: 3
  • Title: Advances in microfluidic extracellular vesicle analysis for cancer diagnostics
    Authors: Cheng, S., Li, Y., Yan, H., Friedman, L., Zeng, Y.
    Year: 2021
    Citations: 49
  • Title: A Stretchable Scaffold with Electrochemical Sensing for 3D Culture, Mechanical Loading, and Real-Time Monitoring of Cells
    Authors: Qin, Y., Hu, X.-B., Fan, W.-T., Liu, Y.-L., Huang, W.-H.
    Year: 2021
    Citations: 21
  • Title: A Three-Dimensional Conductive Scaffold Microchip for Effective Capture and Recovery of Circulating Tumor Cells with High Purity
    Authors: Cheng, S.-B., Chen, M.-M., Wang, Y.-K., Xie, M., Huang, W.-H.
    Year: 2021
    Citations: 25
  • Title: Advances in Analytical Technologies for Extracellular Vesicles
    Authors: Yan, H., Li, Y., Cheng, S., Zeng, Y.
    Year: 2021
    Citations: 66