Li Shen, Ph.D.

As the search for successful Alzheimer’s disease drugs remains elusive, experts believe that identifying biomarkers — early biological signs of the disease — could be key to solving the treatment conundrum. However, the rapid collection of data from tens of thousands of Alzheimer’s patients far exceeds the scientific community’s ability to make sense of it.

Now, with funding expected to total $17.8 million from the National Institute on Aging at the National Institutes of Health, researchers in the Perelman School of Medicine at the University of Pennsylvania will collaborate with 11 research centers to determine more precise diagnostic biomarkers and drug targets for the disease, which affects nearly 50 million people worldwide. For the project, the teams will apply advanced artificial intelligence (AI) methods to integrate and find patterns in genetic, imaging, and clinical data from over 60,000 Alzheimer’s patients — representing one of the largest and most ambitious research undertakings of its kind… Continue reading.

WASHINGTON, D.C.—The American Institute for Medical and Biological Engineering (AIMBE) has announced the induction of Li Shen, Ph.D., Professor, Division of Informatics, Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, to its College of Fellows.

Election to the AIMBE College of Fellows is among the highest professional distinctions accorded to a medical and biological engineer. The College of Fellows is comprised of the top two percent of medical and biological engineers. College membership honors those who have made outstanding contributions to “engineering and medicine research, practice, or education” and to “the pioneering of new and developing fields of technology, making major advancements in traditional fields of medical and biological engineering, or developing/implementing innovative approaches to bioengineering education.”

Dr. Shen was nominated, reviewed, and elected by peers and members of the College of Fellows for “outstanding contribution to the development of bioinformatics strategies for multidimensional brain imaging genomics.”