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.
Physician - Engineering Collaboration
By Kevin E. Bennet
Advanced Technology Meets Mental Health
By Gaetano Valenza, Antonio Lanatà, Enzo Pasquale Scilingo and Rita Paradiso
ROS Expands the World for Quadriplegics
By Steve Cousins and Henry Evans
Synthetic Biology Moves from Theory toward Practice - But What is It?
By IEEE Life Sciences Staff
Sensing Challenges: Nokia's XChallenge Move Micro-Diagnostic Systems Into the Spotlight
By David Chandler
Tracking Mental Well-Being: Balancing Rich Sensing and Patient Needs
By Mark Matthews, Saeed Abdullah, Geri Gay, and Tanzeem Choudhury
Harnessing the Power of Biosignals
By Hugo Plácido da Silva and Ana Fred
Body area sensor networks: Requirements, operations, and challenges
By Blessy Johny and Alagan Anpalagan
All-purpose Diagnostic Tool Puts the Doctor in the Palm of Your Hand
By David L. Chandler