Connected mobile health diagnostics with applications to medicine
Wednesday, September 23, 2020
2:30pm – 3:45pm
Virtual via zoom (register by clicking here), Virginia Tech Campus
Division of Engineering in Medicine at Brigham and Womenʼs Hospital
Harvard Medical School
The advances in micro- and nano-technologies and the surge in consumer electronics have paved a solid foundation for developing mobile health (mhealth) technologies with the potential to transform the current paradigm in global health. Dr. Shafieeʼs laboratory strives to develop mHealth diagnostics and solve unmet medical problems through bioengineering approaches and utilizing the advances in consumer electronics such as cellphones, nanoscale/microscale materials, and computer programing particularly artificial intelligence (AI). mHealth technologies offer novel approaches to diagnose, track, and control diseases including infectious diseases, cancer, and infertility in both resource-rich and resource-poor settings. In this talk, Dr. Shafiee will present examples of how smartphones can be seamlessly integrated with hardware, software, microfluidics, and nanotechnology to develop point-of-care diagnostic devices to address clinical gaps in the management of infertility and infectious diseases.
Dr. Hadi Shafiee is an Assistant Professor at the Division of Engineering in Medicine at Brigham and Womenʼs Hospital (BWH), Harvard Medical School (HMS). He graduated from Isfahan University of Technology, Iran (BSc) in 2001 and University of Tehran, Iran (MSc) in 2003 with degrees in Mechanical Engineering. He received his Ph.D. in Engineering Science and Mechanics from Virginia Tech in 2010 and under the supervision of Dr. Rafael Davalos. After receiving trainings in the development of devices for cell sorting and pathogen detection at Virginia Tech and Harvard-MIT Division of Health Science and Technology, he started his own lab at BWH, HMS in 2014. Dr. Shafieeʼs lab strives to develop innovative diagnostic tools to address unmet clinical challenges through integrating biology/medicine, micro- and nanotechnology, consumer electronics, and artificial intelligence.