Pakistan to launch indigenous remote sensing satellite next month

Pakistan to launch indigenous remote sensing satellite next monthPakistan to launch indigenous remote sensing satellite next month
Pakistan to launch indigenous remote sensing satellite next monthPakistan to launch indigenous remote sensing satellite next month
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ISLAMABAD: Pakistan will launch an indigenously developed remote sensing satellite (RSS) named PakTES-1A in July this year, Foreign Office Spokesman Dr Muhmmad Faisal said on Sunday.

The spokesman said that PakTES-1A was an ingenuously developed remote sensing satellite that weighed 285 kg. It will be launched at 610 km sun-synchronous orbit in July, 2018. He also shared the picture of the satellite’s model.

Pakistan Technology Evaluation Satellite (PakTES-1A) is a fully indigenous project of scientists and engineers at Pakistan Space and Upper Atmosphere Research Commission (SUPARCO).

Pakistan marked a significant milestone in space technology in March by securing a geostationary orbital slot along with previous frequency resources ensuring a presence in the space.

 

Earlier the China Academy of Launch Vehicle Technology (CALVT) had announced that China will launch two remote sensing satellites for Pakistan.

It said that this will be the first international commercial launch for a Long March-2C rocket for around 18 years after it carried Motorola’s Iridium satellites into orbit in 1999.

The rocket will also carry the China-France Oceanography Satellite into space in September this year. The satellite will monitor ocean wind and waves. Long March-2C rockets are mainly used to send satellites into low Earth or Sun-synchronous orbits.

In 2016, China and Pakistan had signed an agreement to launch a special remote sensing satellite. There are currently three satellites under design by SUPARCO in collaboration with different Chinese universities.

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Google AI predicts when a patient will die

Google AI predicts when a patient will die

Google AI predicts when a patient will die

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Google AI predicts when a patient will die. It gives result 95% accurate than the traditional method which predicts 86%.

Google first detailed its new system in a paper published in the Journal Nature in May. At the time, company researchers noted, “These models outperformed traditional, clinically used predictive models in all cases. We believe that this approach can be used to create accurate and scaleable predictions for a variety of clinical scenarios.”

The results, of course, are rather morbid. Alas, Google’s algorithms aren’t looking for ways to save people — just how likely they are to beat the odds. In one major case study, Google used its A.I. to evaluate a patient with breast cancer. In the 24 hours after she was admitted to the hospital, Google’s AI system gave her a 19.9-percent chance of  dying in the hospital, significantly higher than the 9.3 percent chance the hospital’s Early Warning Score submitted. Unfortunately, less than two weeks later, the patient passed away.

So how did Google do it? The Google AI examined the 175,639 data points found in the patient’s electronic medical records, which included interpreting and evaluating handwritten notes. As Google says, the inclusion of all this information is what differentiates this A.I. from previous approaches.

“In general, prior work has focused on a subset of features available in the EHR, rather than on all data available in an EHR, which includes clinical free-text notes, as well as large amounts of structured and semi-structured data,” Google’s paper reads.

In total, Google has analyzed 216,221 hospitalizations and 114,003 patients, which comes to more than 46 billion data points from all EHRs. And its results are particularly promising for healthcare professionals. Google’s ability to efficiently and accurately parse through stacks and stacks of data could be a real boon to hospitals, ultimately resulting in improved patient care.

Moving forward, Google wants to work on A.I. tools that can predict not only death risk, but also symptoms and diseases. The tech giant is no stranger to working in the healthcare industry, especially as related to prediction. Earlier in 2018, DeepMind worked with the Department of Veterans Affairs, examining its 700,000 medical records and predicting potentially fatal changes in patients’ conditions. And Google also wants to provide doctors with a voice recognition system that would cut down on the time-intensive practice of writing notes.

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