Sabina Mukba

Abu Dhabi University

Papers

1

Total Citations

11

H-Index

1

About

Dr. Sabina Mukba is a pioneering researcher at the intersection of artificial intelligence, robotics, and longevity science. Her work focuses on developing AI-driven platforms to accelerate the discovery of therapeutic interventions targeting the hallmarks of aging, with a particular emphasis on cellular senescence. In her landmark 2024 study, "AI-Driven Robotics Laboratory Identifies Pharmacological TNIK Inhibition as a Potent Senomorphic Agent," Dr. Mukba demonstrated how automated, AI-guided experimentation can systematically identify compounds that selectively eliminate senescent cells—a key driver of age-related decline. This paper, already garnering 11 citations, showcases her innovative approach to integrating machine learning with high-throughput robotics, enabling the rapid prioritization of dual-purpose drugs that simultaneously combat aging and disease. By targeting TNIK inhibition, her work opens new avenues for developing senomorphic therapies that may extend healthspan. Dr. Mukba’s contributions are reshaping how researchers leverage computational and automated tools to tackle complex biological challenges, positioning her as a leading voice in the next generation of longevity research.

Research Focus

Key Achievements

1
H-Index
1
Papers
11
Total Citations
11
Avg Citations/Paper
🏆 Most Cited Paper
AI-Driven Robotics Laboratory Identifies Pharmacological TNIK Inhibition as a Potent Senomorphic Agent
11 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 19
🏛 Institutions: Abu Dhabi University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago