How 5G wireless (and concomitant technologies) will revolutionize healthcare?

The need to have equitable access to quality healthcare is enshrined in the United Nations (UN) Sustainable Development Goals (SDGs), which defines the developmental agenda of the UN for the next 15 years. In particular, the third SDG focuses on the need to “ensure healthy lives and promote well-being for all at all ages”. In this paper, we build the case that 5G wireless technology, along with concomitant emerging technologies (such as IoT, big data, artificial intelligence and machine learning), will transform global healthcare systems in the near future. Our optimism around 5G-enabled healthcare stems from a confluence of significant technical pushes that are already at play: apart from the availability of high-throughput low-latency wireless connectivity, other significant factors include the democratization of computing through cloud computing; the democratization of Artificial Intelligence (AI) and cognitive computing (e.g., IBM Watson); and the commoditization of data through crowdsourcing and digital exhaust. These technologies together can finally crack a dysfunctional healthcare system that has largely been impervious to technological innovations. We highlight the persistent deficiencies of the current healthcare system and then demonstrate how the 5G-enabled healthcare revolution can fix these deficiencies. We also highlight open technical research challenges, and potential pitfalls, that may hinder the development of such a 5G-enabled health revolution

Exploration of unique relation among industrial fungi by statistical analysis

This work was carried out to explore the relation among thermophilic cellulolytic fungi, which are of industrialimportance. There was no report found about the genetic relationship of fungi, which are used to produce industrial enzymes.So the aim of the study was to observe the similarity among different cellulolytic fungi on genetic level, which will providethe background to understand the correlation among cellulase producing systems of these fungi. Eleven (11) fungi werestudied for genetic diversity using the Random Amplified Polymorphic DNA (RAPD) a PCR based molecular marker system.In this regard twenty universal decamers used for RAPD resulted in 1527 numbers of bands observed during comparison ofall wild strains. Maximum polymorphism was generated with GLA-07. Average numbers of bands per 20 primers were 65-72.An Interesting feature of the study was the similarity of Humicola insolens with Torula thermophile, more than with theother members of the Humicola family. This genetic pattern affects the physical structure of the fungi. Spores of Torulathermophila are more related to Humicola insolens than to its own family. Similarity between the two was found to be 57.8%,whereas between Humicola lanuginosa (Thermomysis lanuginosus) and Humicola grisea it was 57.3%. Apart from this,similarity between Talaromyces dupontii and Rhizomucor pusillus was 51.5%. Least similarity was found in Rhizomucorpusillus and Humicola grisea, which was 18.7% and Chaetomium thermophile and Sporotrichum thermophile, which was18.3%. Genetic similarity matrix was constructed on the basis of Nei and Li’s index