Fatemeh Shah-Mohammadi | Clinical Data Science | Best Researcher Award

Dr. Fatemeh Shah-Mohammadi | Clinical Data Science | Best Researcher Award

Dr. Fatemeh Shah-Mohammadi at University of Utah, United States

 Professional Profiles👨‍🎓

 Early Academic Pursuits 🎓

Dr. Fatemeh Shah-Mohammadi completed her Master of Science in Electrical and Communication Engineering at Birjand University of Technology, where she laid the groundwork for her expertise in engineering and technology. She then pursued her PhD at Rochester Institute of Technology, specializing in Machine Learning. Her dissertation focused on “Machine Learning-enabled Resource Allocation in Underlay Cognitive Radio Networks,” demonstrating her commitment to applying advanced technologies in innovative ways.

Professional Endeavors 💼

Dr. Shah-Mohammadi currently serves as a Research Assistant Professor of Biomedical Informatics at the University of Utah, where she applies her skills in health informatics and clinical data science. Her professional journey includes significant roles as a Biostatistician II/NLP Engineer at Mount Sinai Health System and a postdoctoral fellow at the Icahn School of Medicine. These experiences have equipped her with a robust foundation in data analysis and machine learning applications across diverse domains.

Contributions and Research Focus 🔍

Dr. Shah-Mohammadi’s research primarily centers on the intersection of health informatics and machine learning. She has developed machine learning models that leverage cross-domain datasets to improve clinical outcomes. Notable projects include NLP-assisted pipelines for clinical note analysis and differential diagnosis, highlighting her dedication to enhancing healthcare delivery through technology.

Impact and Influence 🌍

Dr. Shah-Mohammadi’s work has significant implications for health informatics, particularly in the use of natural language processing (NLP) for clinical applications. Her publications in respected journals, such as the IEEE Open Journal of the Communications Society and Studies in Health Technology and Informatics, showcase her contributions to advancing knowledge in this field. Her research efforts aim to reduce diagnostic uncertainty and improve patient care outcomes, underscoring her influence in biomedical informatics.

Academic Cites 📚

Dr. Shah-Mohammadi’s scholarly output includes multiple peer-reviewed articles that have garnered citations and recognition within the academic community. Her ORCID and Google Scholar profiles further highlight her impact, showcasing a growing body of work that contributes to the fields of health informatics and machine learning.

Technical Skills 🛠️

Dr. Shah-Mohammadi is proficient in various technical areas, including:

  • Machine Learning and Data Science
  • Natural Language Processing
  • Statistical Analysis
  • Software Development for Biomedical Applications Her expertise enables her to build and implement sophisticated models that address real-world clinical challenges.

Teaching Experience 👩‍🏫

As an instructor at the University of Utah, Dr. Shah-Mohammadi teaches courses like “Generative AI in Healthcare” and “Intro to Programming.” Her teaching philosophy emphasizes the integration of cutting-edge technology with foundational principles, preparing students for future challenges in biomedical informatics.

Grants and Funding 💰

Dr. Shah-Mohammadi has actively sought and secured funding for her research initiatives. As the Principal Investigator for a project on automated live meta-analysis of clinical outcomes using generative AI, she demonstrates leadership in advancing research in health informatics. Her involvement as a co-investigator in various projects further highlights her collaborative spirit and dedication to impactful research.

Legacy and Future Contributions 🌟

Looking ahead, Dr. Shah-Mohammadi aims to continue her work at the forefront of health informatics, leveraging machine learning and NLP to drive innovations in clinical practice. Her commitment to research, teaching, and community engagement positions her as a leading figure in the field, poised to make lasting contributions to both academia and healthcare.

📖 Top Noted Publications 

 Addressing Semantic Variability in Clinical Outcome Reporting Using Large Language Models

Authors: Fatemeh Shah-Mohammadi, Joseph Finkelstein
Journal: BioMedInformatics
Year: 2024

 Extraction of Substance Use Information From Clinical Notes: Generative Pretrained Transformer–Based Investigation

Authors: Fatemeh Shah-Mohammadi, Joseph Finkelstein
Journal: JMIR Medical Informatics
Year: 2024

Accuracy Evaluation of GPT-Assisted Differential Diagnosis in Emergency Department

Authors: Fatemeh Shah-Mohammadi, Joseph Finkelstein
Journal: Diagnostics
Year: 2024

Neural Network Cognitive Engine for Autonomous and Distributed Underlay Dynamic Spectrum Access

Authors: Fatemeh Shah-Mohammadi, Hatem Hussein Enaami, Andres Kwasinski
Journal: IEEE Open Journal of the Communications Society
Year: 2021

 NLP-Assisted Differential Diagnosis of Chronic Obstructive Pulmonary Disease Exacerbation

Authors: Fatemeh Shah-Mohammadi, Joseph Finkelstein
Journal: Studies in Health Technology and Informatics
Year: 2024

Using Electronic Medical Records and Clinical Notes to Predict the Outcome of Opioid Treatment Program

Authors: W Cui, Fatemeh Shah-Mohammadi, Joseph Finkelstein
Journal: Healthcare Transformation with Informatics and Artificial Intelligence
Year: 2023

Laurence Vaughan | Medical Diagnostics | Best Researcher Award

Dr. Laurence Vaughan | Medical Diagnostics | Best Researcher Award

Dr. Laurence Vaughan at Becton Dickinson and Company, United States

👨‍🎓 Professional Profile

🎓 Early Academic Pursuits

Dr. Laurence Vaughan began his academic journey at the University of Dublin, Trinity College, where he earned a BA (Honors) in Natural Sciences (Genetics) in 1986, followed by a Ph.D. in Molecular Microbiology in 1991. His doctoral research focused on the aroA gene of Aeromonas salmonicida, contributing to foundational knowledge in microbiology and vaccine development.

🏢 Professional Endeavors

Dr. Vaughan’s career spans over three decades in the biotechnology and molecular diagnostics sectors. Currently, he serves as the Director of Scientific Affairs at Becton Dickinson and Company, focusing on integrated diagnostic solutions for women’s health, particularly cervical cancer screening. His past roles include R&D leadership at QIAGEN and Corning Incorporated, where he made significant advancements in molecular assay development and product support.

🌟 Contributions and Research Focus

Dr. Vaughan has led teams in developing groundbreaking products such as the BD Onclarity cervical cancer screening test, which received CE Mark approval in 2014 and US-PMA approval in 2018. He has authored content for international conferences and peer-reviewed publications, emphasizing his commitment to advancing scientific knowledge and product innovation in the diagnostics field.

🌍 Impact and Influence

His work has not only shaped diagnostic guidelines but has also influenced industry standards, as seen with the American Society for Colposcopy and Cervical Pathology (ASCCP) management guidelines launched in 2020. Dr. Vaughan’s expertise is recognized internationally, making him a sought-after speaker at various conferences.

📚 Academic Cites

Dr. Vaughan has made notable contributions to the field of vaccinology, evidenced by multiple patents and publications. His editorial experience as the Editor-in-Chief of “Diseases of Aquatic Organisms” from 1995 to 1999 further underscores his leadership in academic discourse.

🔧 Technical Skills

Dr. Vaughan possesses extensive technical skills in molecular biology, microbiology, and genetics. His proficiency in managing clinical trials, particularly in the R&D lead for Onclarity HPV clinical trials, highlights his ability to oversee complex scientific projects.

👩‍🏫 Teaching Experience

Throughout his career, Dr. Vaughan has demonstrated a passion for education and mentorship. He has developed and delivered training for global customers and internal teams, showcasing his strong communication and interpersonal skills.

🏅 Legacy and Future Contributions

Dr. Vaughan’s legacy includes a robust portfolio of innovations and leadership in the biotech field. His achievements, such as the Becton Dickinson Wesley J. Howe Award for Technological Innovation in 2013, reflect his dedication to advancing science and technology. Looking ahead, he aims to continue contributing to the development of effective diagnostic solutions and vaccines, focusing on emerging health challenges.

 

📖 Top Noted Publications

Variables that impact HPV test accuracy during vaginal self collection workflow for cervical cancer screening

Authors: Vaughan, L., Gary, D., Shah, M., Galbraith, L., Parvu, V.
Journal: Gynecologic Oncology Reports
Year: 2024

Risk stratification of HPV-positive results using extended genotyping and cytology: Data from the baseline phase of the Onclarity trial

Authors: Stoler, M.H., Parvu, V., Yanson, K., Andrews, J., Vaughan, L.
Journal: Gynecologic Oncology
Year: 2023

Validation of a New High-Throughput BD COR System Using the BD CTGCTV2 Assay

Authors: Taylor, S., Rucki, A., Lockamy, E., Vaughan, L., Greene, W.
Journal: Journal of Molecular Diagnostics
Year: 2022

Evaluation of the Onclarity HPV assay on the high-throughput COR system

Authors: Taylor, S.N., Eckert, K., Rucki, A.A., Vaughan, L.M., Greene, W.H.
Journal: Expert Review of Molecular Diagnostics
Year: 2021

Cotesting in cervical cancer screening

Authors: Malinowski, D.P., Broache, M., Vaughan, L., Andrews, J., Gary, D.
Journal: American Journal of Clinical Pathology
Year: 2021

Analytical and clinical sample performance characteristics of the onclarity assay for the detection of human papillomavirus

Authors: Young, S., Vaughan, L., Yanson, K., Cooper, C.K., van der Pol, B.
Journal: Journal of Clinical Microbiology
Year: 2021