An Adaptive Convolution Neural Network based Learning for Precision Medicine
Authors: Dr.BarakkathNisha U, Ms.Aleesha Salim, Ms. AyshaNaushad, Ms. Abina P Nassar
Abstract
Personalized medicine is also referred to as precision medicine is an approach for disease treatment and prevention by taking individual variability in genes, environment and lifestyle for each person. Learning for personalized medicine means that classifying individuals into sub groups based on the difference in their susceptibility to particular disease or in their response to specific treatment. By combining genomics, using big data analytic and considering population health unique treatments are designed for each individual. Personalized medicine has many applications within health care such as, detection and diagnosis of disease in highly specific manner, Prevention of disease, Reduction of trial-and-error prescriptions.
Efficient privacy preserving scheme for cloud computing
Authors: Dr. Mani Arora
Abstract
In recent years, worldwide cloud computing has been acclaimed due to its conceptual and infrastructural foundation. Resource pooling and large network access are the most important features of its gradual growth. Hike in data generated and stored on cloud servers is exponential. In it the data is controlled by third party who poses a main security threat. This paper presents a concise survey of existing asymmetric encryption techniques used to secure data in transmission in cloud computing and outline the efficient privacy preserving encryption technique.