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Microsoft is using machine learning to help fight blindness

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Though robots and artificial intelligence may not replace our doctors entirely in the foreseeable future, they are already starting to make a difference. Microsoft is now using machine learning and artificial intelligence to help doctors in India to diagnoze and treat eye diseases. Earlier this year, Microsoft began working with the not-for-profit LV Prasad Eye Institute (LVPEI) in India to have its Azure machine learning and Power BI services analyze patterns among cases and predict the surgical outcome of eye surgery patients. The collaboration saw Microsoft going through a trove of data -- anonymized records of 1.1 million people -- and provide doctors with insights into how the blindness spreads in the country, Anil Bhansali, Managing Director of Microsoft India (R&D), explained to Mashable India in a conversation. Microsoft says it utilized Azure machine learning service to crunch the numbers and Power BI service to visualize those numbers to make sense out of them.


Microsoft is using machine learning to help fight blindness

#artificialintelligence

Though robots and artificial intelligence may not replace our doctors entirely in the foreseeable future, they are already starting to make a difference. Microsoft is now using machine learning and artificial intelligence to help doctors in India to diagnoze and treat eye diseases. Earlier this year, Microsoft began working with the not-for-profit LV Prasad Eye Institute (LVPEI) in India to have its Azure machine learning and Power BI services analyze patterns among cases and predict the surgical outcome of eye surgery patients. The collaboration saw Microsoft going through a trove of data -- anonymized records of 1.1 million people -- and provide doctors with insights into how the blindness spreads in the country, Anil Bhansali, Managing Director of Microsoft India (R&D), explained to Mashable India in a conversation. Microsoft says it utilized Azure machine learning service to crunch the numbers and Power BI service to visualize those numbers to make sense out of them.


The artificially intelligent eye doctor is in

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Google researchers got an eye-scanning algorithm to figure out on its own how to detect a common form of blindness, showing the potential for artificial intelligence to transform medicine remarkably soon. The algorithm can look at retinal images and detect diabetic retinopathy--which affects almost a third of diabetes patients--as well as a highly trained ophthalmologist can. It makes use of the same machine-learning technique that Google uses to label millions of Web images. Diabetic retinopathy is caused by damage to blood vessels in the eye and results in a gradual deterioration of vision. If caught early it can be treated, but a sufferer may experience no symptoms early on, making screening vital.


artificial-intelligence-reveals-mechanism-behind-brain-tumor#.V-HVw5TwthI.twitter

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Researchers at Uppsala University have used computer modeling to study how brain tumors arise. Instead of almost exclusively using different biological models, like cells, today large-scale statistical analyses are increasingly used to understand tumor diseases and find new therapies. In the study the researchers used aSICS to interpret data from brain tumors and they could identify a new mechanism behind mesenchymal glioblastoma, an extra aggressive brain tumor type. "According to the computer model, mesenchymal glioblastoma is partly caused by alterations in a gene called Annexin A2.


Microbubbles, a cancer cell shape sorter, and artificial intelligence – our latest innovative science projects

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And second, the different ways they interact with other molecules inside cells means they aren't susceptible to more traditional types of drugs. So, instead of designing drugs that block how these molecules work, Dr Laura Itzhaki, from the University of Cambridge, is proposing a different approach: sending them for destruction instead. Combining this ground-breaking approach with chemotherapy could improve the outlook for patients with this type of disease. Their next steps will be working out the best doses to use, and if giving mice oxygen nanobubbles boosts the effectiveness of treatments like chemotherapy and radiotherapy.


Health News and Information - News Medical

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It is the most common inherited kidney disease, and affects millions worldwide. Women taking birth control pill less likely to suffer serious knee injuries Researchers from The University of Texas Medical Branch at Galveston have found that women who take the birth control pill, which lessen and stabilize estrogen levels, were less likely to suffer serious knee injuries. Study assesses acceptability of alternative drug to prevent malaria among pregnant women in Kenya Researchers at LSTM, working with colleagues at the Centres for Disease Control and Prevention USA, the Kenya Medical Research Institute, and from the London School of Hygiene and Tropical Medicine, have completed a study to assess the acceptability among pregnant women and health providers in Kenya of a new drug as an alternative to the standard drug used to prevent malaria in pregnancy. AMSBIO obtains primary human cancer cells directly from different tumor types AMSBIO announces an extensive range of primary human cancer cells obtained directly from a variety tumor types, including breast, colon and prostate.


Rich Data, Poor Fields

Communications of the ACM

In a world with more mobile phones than flush toilets, digital devices are now standard equipment among even the world's poorest and most remote people. Farmers in these areas are getting tools for their devices that help deliver water, nutrients, and medicine to plants as needed; test for crop diseases and malnourishment; and survey their soil for future planning. In some cases, these emerging apps are the biggest new technologies resource-poor farms have seen in hundreds of years. That is not very surprising to Rajiv "Raj" Khosla, professor of Precision Agriculture at the College of Agricultural Sciences of Colorado State University. "What we're finding is that many small-scale farmers in resource-poor environments are still farming in the 1500s.