How a $6 million computer could revolutionize the healthcare industry

Computer science is one of the most exciting fields of study in the world, with some $6 billion in potential research funding and millions of dollars in prize money.

But is there any real-world application to the field of computing?

A recent study from UC Berkeley’s Computer Science and Artificial Intelligence Laboratory (CSAIL) looked into what a computer could do for healthcare.

The team focused on what it takes to run an automated, highly scalable health analytics system, and the way in which this system could potentially be used in a healthcare setting.

Read moreCSAILL researchers have developed a computer system to automate the health care system.

The system is called ECHP, and it is designed to automate all the tasks in the health system, from the patient monitoring to the payment processing, as well as providing the system with all the information it needs to do all that.

The ECHIP system was created by a team led by Dr. Michael Siegel.

“It has been the dream of the ECH program for the past decade,” said Siegel, a professor of computer science at UC Berkeley.

“Our research is the first to make this real.”

The system is built on the Ethereum blockchain, a decentralized network that uses cryptography to create a secure network that makes transactions and payments secure.

The blockchain is built to be able to be used for many different types of transactions, such as in online gaming, and is able to store information about any transactions on the blockchain.

The system uses Ethereum to run a bot that can interact with a system in real time and report any problems that arise.

The bot will then be tasked with monitoring the system to determine what is going on.

The network will then use a database of health metrics, such of how many patients are in a given hospital, to analyze how it’s doing.

Siegel said the system uses machine learning to help analyze the data it gets.

“In the future, we will be able use this to train algorithms that can automatically detect problems in the system that are occurring,” he said.

The study found that a simple database of metrics and health metrics could provide a comprehensive understanding of how health care systems operate.

“The system can provide information on how many people are in each hospital, how much data is being collected, and what the problems are,” Siegel said.

“We can even tell how much money is being spent, because we can get an estimate of how much is being used.”

The ECHPC is designed for healthcare systems that need to process large volumes of data, and also for large systems that have limited capacity or a lot of data that needs to be stored.

This could allow systems to be upgraded in the future.

The CSAIL team plans to release the system as a beta in the next year or two.

For now, the team is looking to the public for ideas for how to use the system.

“This is a great opportunity for our community to help us test this out and improve it,” Sieg said.

“This is what we’re working on right now,” said Dr. James Bresler, a former co-founder of the medical imaging company EMD.

“A very promising system that will be useful for us for a long time to come.”

Read moreRead the study at: https://phys.org/news/2016-10-computer-automation-health-sustainability.html#.UcJ1KbDZpC