ELNs, Using Data Effectively and Applying Knowledge Management in Businesses
News Aug 27, 2014
In preparation to the EDKM Summit Event (ELNs, Data Analytics and Knowledge Management Summit) Pharma IQ conducted an industry survey to find out how organizations are effectively utilizing data and applying knowledge management to improve decision making and efficiency in their businesses.
The survey shows that 39% of the respondents have implemented ELNs in full within their organizations yet 8% has not adopted it. 42% says that the major challenge relating to ELNS is the Integration with existing systems; on the other hand 8% express one's view that their biggest challenge is an internal buy in and regular use.
Moreover, only 39% poses a wider laboratory informatics system followed by a 38% of the organizations who don't. 69% are currently involved in knowledge management and a minority of 8% is not involved yet.
47% states that the biggest challenge relating to effective data management and achieving knowledge management is investing and providing ROI and 8% attributes it to technology limitations.
To finalize with, 31% are currently using any data analytics, predictive tools or software; however, 38% is not using any of those yet.
Based on ELNs, Data Analytics and Knowledge Management Summit this survey was conducted in March 2013. This information was accurate to the best of the respondents knowledge at that time.
Analytical Tool Predicts Disease-Causing GenesNews
Predicting genes that can cause disease due to the production of truncated or altered proteins that take on a new or different function, rather than those that lose their function, is now possible thanks to an international team of researchers that has developed a new analytical tool to effectively and efficiently predict such candidate genes.
Researchers Move Closer to Completely Optical Artificial Neural NetworkNews
Researchers have shown that it is possible to train artificial neural networks directly on an optical chip. The significant breakthrough demonstrates that an optical circuit can perform a critical function of an electronics-based artificial neural network and could lead to less expensive, faster and more energy efficient ways to perform complex tasks such as speech or image recognition.
Big Data Study Targets Genomic Dark Matter from Ocean Floor to Gut FloraNews
An international team led by computational biologist Fran Supek at IRB Barcelona develop a machine learning method to predict unknown gene functions of microbes.The system examines and compares ‘big data’ available on the metagenomes of human and environmental microbiomes.READ MORE