Daniela P. Ladner
Papers
2
Total Citations
36
H-Index
2
About
Daniela P. Ladner is a pioneering researcher whose work bridges molecular diagnostics and the application of artificial intelligence in transplantation. Her early contributions include the development of "Multiplex Detection of Hotspot Mutations by Rolling Circle-Enabled Universal Microarrays" (2001, 25 citations), a method that advanced high-throughput genetic screening. More recently, she has become a leading voice in integrating AI into transplant medicine, authoring the influential "Artificial Intelligence-related Literature in Transplantation: A Practical Guide" (2020, 11 citations). This work provides a crucial framework for clinicians and researchers navigating the rapidly evolving AI landscape, covering machine learning, computer vision, and robotics. Dr. Ladner’s research is notable for translating complex computational tools into practical applications, improving patient outcomes and operational efficiency in transplantation. Her ability to synthesize cutting-edge technology with clinical needs has established her as a key figure in the field, guiding the next generation of transplant scientists toward data-driven innovation.
Research Focus
Key Achievements
Top Papers
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