Biochemistry & Analytical Biochemistry

Computer-aided clinical diagnosis: Convergence of nanotechnology and big data methods

International Conference on Clinical Chemistry & Laboratory Medicine

October 17-18, 2016 Chicago, USA

Osvaldo N Oliveira Jr

University of Sao Paulo, Brazil

Posters & Accepted Abstracts: Biochem Anal Biochem

Abstract:

Experimental and theoretical methods akin to physics and nano-sciences are increasingly used in applications stemming from innovative therapies to natural language processing. Such convergence of technologies, which may bring varied benefits to society, is illustrated by a computer-aided diagnosis system, in which machine learning and other computational methods are used to treat data from biosensors. In this lecture, an overview will be given of the combination of nanotech-based methods and computational techniques for various biomedical applications. For example, impedance spectroscopy data in electronic tongues can be correlated with human perception of taste, through the use of information visualization and artificial intelligence methods. The latter have also been useful to enhance bio-sensing to detect biomarkers for early detection of breast cancer and pancreatic cancer, in addition to a more fundamental application in single molecule detection via surface-enhanced Raman scattering. I shall also exemplify how text analytics can be exploited to extract information from written medical records, which is crucial for computer-aided diagnosis. The convergence of nanotechnology and Big Data is required for developing effective computer-aided diagnosis. In contrast to the paradigm based on Big Data, a detailed analysis is necessary for understanding molecular-level interactions behind bio-sensing. This can be done by investigating the interface properties of the functionalized films through a combination of spectroscopic and microscopic methods. On the other hand, statistical and computational methods are essential for processing the large amounts of clinical data acquired in real-world applications.

Biography :

Email: chu@ifsc.usp.br