
معرفی
David Hardman is a Research Fellow at the Centre for Medical Informatics within the Usher Institute, part of the College of Medicine and Veterinary Medicine at the University of Edinburgh. His work bridges biomedical engineering, computational biology, and muscle physiology to develop innovative quantitative approaches for cellular analysis.
Hardman's research spans skeletal muscle physiology, optogenetics, and computational modeling. He employs agent-based simulations to optimize muscle cell culture conditions and develops quantitative techniques for measuring cell behavior and quality. His work integrates light-based control systems for precise muscle contractility assays and investigates molecular mechanisms in cancer progression, particularly in cutaneous squamous cell carcinoma.
His publication trends reveal a focus on quantitative methodologies for muscle cell analysis, combining in vitro models with computational approaches. Key themes include optimizing muscle cell generation protocols, developing optogenetic contractility assays, and modeling oxygen transport in engineered muscle tissues using mathematical simulations.
Hardman operates within the Centre for Medical Informatics at the Usher Institute, a hub for interdisciplinary health data science research. His work involves close collaboration with cell biologists, computational scientists, and clinicians to advance muscle-on-chip technologies and disease modeling.
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Lynda HardmanNational Research Institute for Mathematics and Computer Science · استاد- AAnkit PatelQueen Mary University of London · پژوهشگر
- Adrian BiddleQueen Mary University of London · عضو هیئت علمی
David M. WarshawUniversity of Vermont · استاد- JJoachim MeißnerHannover Medical School · پژوهشگر
- MMilad Jalal EshaqUniversity of Michigan-Ann Arbor · دانشیار بالینی