Introduction

Recent Testimonialsback to About Us>

  • "Our PhysioPD collaboration with Rosa has had a significant impact on our program. It fundamentally improved our understanding of our MOA, our team’s ability to communicate about development decisions, FIH dose-determination, and our target/compound prioritization. Rosa was highly responsive to our needs and went “over and above” to deliver for us. Also, their flexible IP philosophy and collaborative model-building and testing process resulted in a credible model that is trusted and used by our team."
  • Tristan Maurer, PhD, PharmD, Associate Director, Translational Research/PDM, Pfizer, Inc. (July 30, 2010)
  •  

  • "Our multi-year collaboration with Rosa has made strategic contributions to our MN-221 development programs. Rosa’s modeling-based insights have identified more effective doses, clarified adverse event risk, helped us communicate with study sites, partners, and regulatory agencies, and improved our understanding of our drug’s mechanism of action. "
  • Dr. Yuichi Iwaki, President and CEO, Founder, MediciNova, Inc. (June 5, 2010)
  •  

  • "Rosa has been a great asset to our business development efforts. Their discussions with potential investors helped the investors better understand our compound and its value. Rosa’s analyses of clinical data have made major breakthroughs in terms of changing investors’ opinions on certain issues. Their work helped to move our discussions forward. "
  • Geoffrey O’Brien, Director, Business Development, MediciNova, Inc. (June 4, 2010)
  •  

  • "Rosa’s expertise in pharmacokinetic modeling has been very helpful. The model built by Rosa successfully predicted the target clinical dose, thereby minimizing the number of cohorts tested in Phase I and saving the company both time and money. "
  • Kenneth W. Locke, Chief Scientific Officer, Lithera, Inc. (November 20, 2009)
  •  

  • Using a PhysioPD™ model,"the effect of altered PK and the PK/PD relationship can be explored, in silico, to identify key targets and optimize the design of clinical trials."
  • From a poster presented by Han et al., Merck, Inc. (2008)
  •