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Camel milk will be medicine

18.06.2012

Researchers have learned how to create transgenic camel embryos, which in the future will make it possible to obtain milk from these animals enriched with various therapeutic proteins.

The ability of camels to adapt to extreme environmental conditions and their resistance to disease have made these animals an integral component of desert cultures. Scientists at the Dubai Camel Reproduction Center believe that with a little human help, camels could become a source of cheap medicine. They have developed a method to create transgenic camel embryos whose cells carry genes very similar to those of humans. Currently, researchers are working to increase the likelihood of successful implantation of such embryos and the birth of full-fledged camels. The next stage of work will be the introduction of human genes into the cells of genetically modified embryos.

Scientists believe that the step they have taken is decisive, and everything else is a matter of technology. In addition to human genes, they plan to learn how to introduce genes from other species, such as cows, into the camel genome, which will increase the amount of lactation.

Currently, therapeutic proteins such as insulin are produced using bacterial cultures in the laboratory. Getting them as part of camel milk will significantly reduce production costs and increase the availability of medicines for people around the world. The developers believe that they will need about five more years to launch the mass production of curative camel milk.

It is also noted that, perhaps in the future, the developed approach will turn camels into ideal candidates for growing human organs for transplantation.

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Big Data Technologies for Healthcare 08.01.2014

A study conducted in the United States shows that leaders of healthcare institutions see great prospects for Big Data technologies in the medical field, despite personnel problems and possible risks.

The Society of Actuaries (SOA) conducted a study that surveyed the leaders of health care institutions and health insurance companies in the United States. According to the report following the results of the study, 66% of leaders see the great potential of big data technologies in healthcare, while 87% believe that the analysis of big data in the future will greatly affect their business. Half of those surveyed expect that the adoption of big data analytics technologies can bring great benefits to their organization.

45% of respondents testified to the great positive impact of Big Data on their practice. 22% reported that they have already benefited significantly from building a big data analytics infrastructure. The authors of the report believe that the ratio of the number of those who recognize the possible benefits of Big Data to the number of those who have already implemented these solutions indicates a voluntary refusal to implement Big Data.

More than 84% faced difficulties in finding employees to optimize big data analytics, 45% plan to hire professionals in this field during 2014.

The report notes the confusion of healthcare leaders in the use of Big Data, when the analysis of big data is carried out not just to obtain information, but to take action and concrete actions. Many do not know how to use these technologies and are trying to find out where they can be useful. 51% of CEOs believe their organizations are capable of leveraging growing data. While 51% believe that Big Data opens up new business opportunities in the long term, 34% see these technologies as a double-edged sword that carries both opportunities and risks. To mitigate these risks, half of those surveyed intend to actively recruit strong data scientists, including from other industries.

Despite the fact that the degree of penetration of Big Data in Russian healthcare is lower than in the United States, the problems of attitude towards these technologies are similar.

"Although medicine in general and domestic medicine in particular is one of the industries in which big data management technologies have the most striking effect, many are still skeptical about them due to not always clear business benefits and a lack of specialists," says the Director of Technology of the Data Division , IBS Sergey Kuznetsov - Let's talk not about abstract theories, but about specific solutions.Predictive analytics helps to build models of organisms' behavior.Wearable devices and consolidation of sensor indicators gives a broad picture of the disease and its evolution over time, helps to prevent negative development in advance or in time inform the nearest services Processing the results of drug trials will speed up the certification and launch of new drugs on the market Analysis of social information allows you to predict epidemics and localize damage, organizing access for any doctor to the entire medical history of a particular patient increasesthe quality of the diagnosis. And a lot is already being done. Look at EMIAS, why is it not a platform for big data solutions?".

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