Article Archive
Since Watson and Crick's discovery of the structure of DNA, the pace of scientific discovery in life sciences has grown exponentially. This is partly due to the amazing development of technologies, especially in the areas of data acquisition and data analysis.
The advent of microarray technologies, nanotechnology and DNA sequencing techniques have generated massive amounts of data, which would have taken lifetimes to be processed without the power of computers. It has been said that life sciences will be the most computer-intensive scientific field of the 21st century.
The challenges to analyze such data may be recent in the field of life sciences, but tools and solutions already existed in the fields of engineering, mathematics, statistics and computer science. Presented here is a small subset of examples that show how several engineering fields can come together to bring solutions for life sciences' challenges.
Intelligent Technologies for Self-Sustaining, RFID-Based, Rural E-Health Systems
By Stanley Chia, Ali Zalzala, Laura Zalzala, & Ali Karimi
Read more: Intelligent Technologies for Self-Sustaining, RFID-Based, Rural E-Health Systems
Integrated Microfluidic Systems for Molecular Diagnostics
By Mandy L. Y. Sin, Vincent Gau, Joseph C. Liao, and P. K. Wong
Read more: Integrated Microfluidic Systems for Molecular Diagnostics
Brian 2.1: A Socially Assistive Robot for the Elderly and Cognitively Impaired
By Derek McColl, Wing-Yue Geoffrey Louie, and Goldie Nejat
Read more: Brian 2.1: A Socially Assistive Robot for the Elderly and Cognitively Impaired
Wireless Medical-Embedded Systems: A Review of Signal-Processing Techniques for Classification
By Hassan Ghasemzadeh, Sarah Ostadabbas, Eric Guenterberg, and Alexandros Pantelopoulos
A Remote Diagnosis Service Platform for Wearable ECG Monitors
By Jun Dong, Jia-wei Zhang, Hong-hai Zhu, Li-ping Wang, Xia Liu, Zhen-jiang Li
Read more: A Remote Diagnosis Service Platform for Wearable ECG Monitors
The Seizure Prediction Problem in Epilepsy: Cellular Nonlinear Networks
By Ronald Tetzlaff and Vanessa Senger
Read more: The Seizure Prediction Problem in Epilepsy: Cellular Nonlinear Networks
Mobile Health: Revolutionizing Healthcare Through Transdisciplinary Research
By Santosh Kumar, Wendy Nilsen, Misha Pavel, and Mani Srivastava
Read more: Mobile Health: Revolutionizing Healthcare Through Transdisciplinary Research
The In-the-Ear Recording Concept
By David Looney, Preben Kidmose, Cheolsoo Park, Michael Ungstrup, Mike Lind Rank, Karin Rosenkranz, and Danilo P. Mandic
Testing the Nation's Healthcare Information Infrastructure: NIST Perspective
By Kevin Brady, Ram D. Sriram, Bettijoyce Lide, and Kathleen Roberts
Read more: Testing the Nation's Healthcare Information Infrastructure: NIST Perspective



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