Fabio Dennstadt | AI in Life Science Research | Best Researcher Award

Dr. Fabio Dennstadt | AI in Life Science Research | Best Researcher Award

Center for Artificial Intelligence in Radiation Oncology | Switzerland

Fabio Dennstadt is an emerging researcher and physician-scientist whose academic and clinical career integrates oncology, artificial intelligence, and biomedical data science. His publication record demonstrates a consistent trajectory of high-impact research, with more than 40 peer-reviewed publications across original research, reviews, and perspective articles. His work spans translational immunology, clinical oncology, and AI-based applications in healthcare, including the use of large language models for decision support and clinical trial analysis. With an h-index of 12, his contributions have been recognized through over 620 citations, reflecting the scientific influence and uptake of his research within the community. Dennstadt’s ability to publish in leading international journals such as Oncology, JCO Clinical Cancer Informatics, Systematic Reviews, and BMC Medical Informatics and Decision Making highlights both the quality and relevance of his scholarship. Beyond publications, he has received multiple prestigious awards, including recognition at the World Cancer Congress and the International Conference of Hyperthermic Oncology, affirming his standing as a rising leader in radiation oncology and digital medicine. His editorial board membership and teaching activities further underline his academic service and mentorship. Overall, Fabio Dennstadt’s profile reflects a strong and growing research portfolio with clear interdisciplinary impact, particularly at the interface of oncology and artificial intelligence

Profile: Scopus

Featured Publication

Implementing large language models in healthcare while balancing control, collaboration, costs and security

Matteo Testi | AI in Life Science Research | Best Researcher Award

Mr. Matteo Testi | AI in Life Science Research | Best Researcher Award

AIVB|Italy

Matteo Testi, CEO & Founder of Deep Learning Italia and Artificial Intelligence Venture Builder (AIVB), is not only a leader in the Italian AI & edtech scene but also an active researcher with quantifiable academic impact. According to his Google Scholar profile, he has an 19, indicating that 19 of his publications have each been cited at least 19 times. Google Scholar His body of work comprises 33 documents listed on his Scholar profile—these include peer-reviewed articles, conference papers, and technical reports. Google Scholar His total citation count, summing across these works, is 1,666 citations as of now. Google Scholar These metrics reflect a solid research footprint, especially considering that Matteo’s primary role is entrepreneurial and educational leadership. His research interests include machine learning, deep learning, and MLOps, and he has authored works such as “MLOps: A Taxonomy and a Methodology”, which notably has been cited over 100 times. ResearchGate Combined with his roles at Deep Learning Italia since 2018, and more recently at AIVB since 2024, these numbers underscore both his academic credibility and his influence in translating AI research into education, business strategy, and applied technology.

Profile:  GOOGLE SCHOLAR

Featured Publications

MLOps: A taxonomy and a methodology

FetalMLOps: operationalizing machine learning models for standard fetal ultrasound plane classification

Enhancing Cell Counting through MLOps: A Structured Approach for Automated Cell Analysis

Enhancing Cell Counting through MLOps: A Structured Approach for Automated Cell Analysis