Fadi E. Pulous
Papers
1
Total Citations
11
H-Index
1
About
Fadi E. Pulous is a pioneering researcher at the intersection of artificial intelligence, robotics, and aging biology. His work centers on developing AI-driven platforms to systematically identify and validate therapeutic targets for age-related diseases, with a particular focus on cellular senescence—a key hallmark of aging. In his landmark 2024 study, Pulous demonstrated how an AI-driven robotics laboratory can autonomously discover pharmacological interventions, identifying TNIK inhibition as a potent senomorphic agent that suppresses the harmful effects of senescent cells without killing them. This work represents a paradigm shift in longevity research, moving from serendipitous discovery to systematic, high-throughput target prioritization. With over 11 citations already for this recent publication, Pulous’s contributions are rapidly gaining recognition for their potential to simultaneously target aging and disease. His innovative approach—combining machine learning, automated experimentation, and geroscience—positions him at the forefront of the emerging field of AI-guided drug discovery for healthy lifespan extension, offering a scalable blueprint for identifying next-generation anti-aging therapeutics.
Research Focus
Key Achievements
Top Papers
- 1