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

Sebastian Blecha | Patientensicherheit | Women Researcher Award

Posted on 14/10/202414/10/2024 by ScienceFather

Prof Dr. Sebastian Blecha | Patientensicherheit | Women Researcher Award

Prof Dr. Sebastian Blecha at Universitätsklinikum Regensburg, Germany

👨‍🎓 Profile

Orcid Profile

Summary ✨

Prof. Dr. Sebastian Blecha is an expert in anesthesiology and intensive care medicine, currently serving as an associate professor and leading a cardiac-thoracic intensive care unit.

Education 📚

Prof. Dr. Sebastian Blecha completed his medical degree at the University of Leipzig (2003–2009) and trained as a nurse at Elbland Klinikum Riesa (1998–2001). He earned his PhD in Neurooncology in 2012 and completed his Habilitation on quality of life post-acute lung failure in 2021 at the University of Regensburg.

Professional Experience 💼

He currently holds an associate professorship in Anesthesiology (since 2024) and serves as the head of the Cardiac-Thoracic ICU at University Hospital Regensburg (2020–present). His previous roles include various positions in anesthesiology at University Hospitals in Regensburg and Leipzig (2011–2020), culminating in his qualification as a cardioanesthesiologist (2017–2019).

Research Interests 🔬

Prof. Blecha’s research focuses on intensive care medicine, particularly the quality of life of survivors after severe lung conditions and operational workflows in neurooncology.

Top Noted Publications 📖

Effects of Individualised High Positive End-Expiratory Pressure and Crystalloid Administration on Postoperative Pulmonary Function in Patients Undergoing Robotic-Assisted Radical Prostatectomy: A Prospective Randomised Single-Blinded Pilot Study

Author: Sebastian Blecha et al.
Journal: Journal of Clinical Medicine
Year: 2023

Paolo Angelo Arrigoni – Elbow surgery – Best Researcher Award

Posted on 12/02/202421/02/2024 by ScienceFather

Dr. Paolo Angelo Arrigoni - Elbow surgery - Best Researcher Award

ASST Gaetano Pini CTO - Italy

Author Profile

Early Academic Pursuits

Dr. Paolo Angelo Arrigoni embarked on his academic journey by graduating from the Università degli Studi di Milano in 2001, where he earned his medical degree. Following this, he successfully passed the Italian Medical Licence Examination in 2002, demonstrating his commitment to academic excellence from the outset. Subsequently, he pursued his residency in Orthopaedics at the same university from 2002 to 2007, delving deeper into his chosen field.

Professional Endeavors

Dr. Arrigoni's professional trajectory reflects a dedication to orthopedic surgery, particularly in the realm of upper limb surgery. His career began at MD Ist Level IRCCS Policlinico San Donato from 2007 to 2016, during which he honed his skills and contributed significantly to the field. Following this, he ventured into freelance practice from 2017 to 2020, demonstrating his versatility and entrepreneurial spirit. Currently, he serves as an Orthopedics Specialist at ASST Pini-CTO, showcasing his commitment to clinical practice and patient care.

Contributions and Research Focus On Elbow surgery

Dr. Arrigoni's contributions to the field of orthopedic surgery are remarkable, with a focus on upper limb surgery. His extensive experience and expertise encompass various areas, including advanced shoulder arthroscopy, shoulder replacement, open shoulder procedures, advanced elbow arthroscopy, selective upper limb trauma, wrist arthroscopy, sport traumatology, ligament reconstruction of the upper limb, and distal brachial reconstruction and repair. His research interests align closely with his surgical pursuits, demonstrating a holistic approach to advancing the field.

Accolades and Recognition

Dr. Arrigoni's achievements have not gone unnoticed, as evidenced by his numerous accolades and recognition. He was the winner of the Fukuda prize at ICSES in Edinburgh in 2010, a testament to his outstanding contributions to the field. Moreover, his prolific scientific production, including 53 original papers in international journals and more than 200 podium presentations, underscores the impact of his work on the orthopedic community.

Impact and Influence

Dr. Arrigoni's influence extends beyond his clinical practice and research endeavors. As a member of various scientific societies, including ESSKA, SECEC/ESSSE, and SIGASCOT, he actively contributes to shaping the future of orthopedic surgery. His leadership roles, such as serving as President of the elbow and forearm committee at ESSKA and President of the Shoulder Committee at SIGASCOT, highlight his commitment to advancing the field and fostering collaboration among peers.

Legacy and Future Contributions

Dr. Arrigoni's legacy lies in his profound impact on the field of orthopedic surgery, particularly in upper limb surgery. Through his innovative research, clinical expertise, and leadership roles, he has inspired countless colleagues and mentees. Looking ahead, his continued dedication to research, education, and patient care promises to shape the future of orthopedic surgery, leaving a lasting legacy for generations to come.

Citations

Citations 3032
h-index 23
i10-index 45