Christine Allen, Ph.D.

Scientists at the University of Toronto have successfully tested the use of machine learning models to guide the design of long-acting injectable drug formulations. The potential for machine learning algorithms to accelerate drug formulation could reduce the time and cost associated with drug development, making promising new medicines available faster.

The study was published today in Nature Communications and is one of the first to apply machine learning techniques to the design of polymeric long-acting injectable drug formulations… Continue reading.

WASHINGTON, D.C. — The American Institute for Medical and Biological Engineering (AIMBE) has announced the election of Christine Allen, Ph.D., to its College of Fellows. Dr. Allen was nominated, reviewed, and elected by peers and members of the College of Fellows for contributions to development of polymeric micelles and advancement of drug delivery technology in academic and industrial research.

The College of Fellows is comprised of the top two percent of medical and biological engineers in the country. The most accomplished and distinguished engineering and medical school chairs, research directors, professors, innovators, and successful entrepreneurs comprise the College of Fellows. AIMBE Fellows are regularly recognized for their contributions in teaching, research, and innovation. AIMBE Fellows have been awarded the Nobel Prize, the Presidential Medal of Science and the Presidential Medal of Technology and Innovation and many also are members of the National Academy of Engineering, National Academy of Medicine, and the National Academy of Sciences… Continue reading.