Expectant results after HGH usage

Human growth hormone is important for the growth of the body. It is naturally produced by the pituitary gland in the brain. The secretion is high in adolescence and starts to decline as the age goes up. Where there is a problem in pituitary gland or hypothalamus, the HGH secretion is destructed. However, the deficiency of HGH is balanced by administering HGH synthetic and alternative supplements. This growth hormone is essential for athletes and bodybuilders for muscle recovery and growth. HGH provides umpteen benefits either in the form of endogenous or exogenous.

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Improves healing fractures:

Many local growth factors and hormone are responsible for regulating bone metabolism and mineral. They also associate with healing fractured conditions. HGH administration showed a speed up in the bone regeneration, bone healing. Growth factor-like IGF-1 is a well-known hormone that stimulates the bone metabolism. HGH plays a vital role in the repair of wear and tear and speeds up healing.

Makes bones stronger

The pituitary released growth hormone is essential in regulating bone growth, especially during puberty. GH stimulates IGF-1 production which is produced in the liver and released into the blood. When the aging process starts, the elder people will not be able to form or replace with bone quickly. The IGF-1 & Growth hormone stimulate bone-forming and reabsorbing cells, lead to increased bone mass.

Improves sleep pattern:

Most of the growth hormone secretion happen after the onset of sleep and continue to rise during the first few hours of sleep. People whose sleep is deprived due to various factors are negatively affected throughout the day. Poor sleep changes the functions of pituitary and hypothalamus, further alters the release time of growth hormone.

Reduces cardiovascular risk:

Adults with GH deficiency will have an increased risk of cardiovascular disease. A clinical research was made on 104 patients’ who had reduced GH levels. Those patients had higher body mass and triglyceride concentrations. The results suggested that lipoprotein metabolism was altered by growth hormone deficiency, increased the risk of cardiovascular diseases.

HGH result time depends on the dosage and the users should not exceed the prescribed dose to speed up the HGH results.

HGH Results after One month:

Once the HGH cycle is started, the hormone starts to trigger changes in the body. Within the first week, increased energy and vitality might be experienced by the users. Concentration power will be hyped. Users will be able to do hard exercise easily. Most users reported that their moods change better and the disorders such as depression, mood swing goes away.

After two months:

The hormone helps to regenerate cells, improves muscle tone and skin. After two months many users experienced enhanced night vision and eyesight. Since the metabolism speeds up, the users start to drop down with their fat level.

After six months:

When the therapy ends by the sixth month, the users can experience before and after effects of human growth hormone such as healthier immune system, increased energy, stamina and endurance, improved sleep pattern, youthful skin, Muscle recovery and growth along with faster metabolism.

4 Tips for Getting Your Small Business Started

Getting a small business started is a risky proposition. Some experts say that half of all small businesses will fail in the first year of operation, and 90 percent of all small businesses will fail after five years. In the face of these steep odds, don’t give up on your dreams of growing your own small business. Instead, be inspired to work harder and more creatively to guarantee your success. Here are five tips to help you get started on the small business you’ve been dreaming about.
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Learn about Your Market

If you’re not already an expert in your field, do your research before jumping into a small business. You may want to open a restaurant, but if you’ve never worked in food services before you’ll have a lot to learn by starting at the top. Learn your business from the ground up. Consider taking a professional business class at a local college to get a better idea about what you’re getting into. You’ll need to understand both the nuances of your chosen business area and the overall demands of running a business.

Work with Your Neighbors

Find out about the local opportunities that are available in your neighborhood and take advantage of them. There are networking opportunities around every corner, and you would be foolish to pass them by. Get to know the other small business owners in your community and learn from their example. You don’t need to reinvent the wheel, so keep your ears open and learn from their mistakes.

Partner with Established Companies

When it comes to important things, make sure you only partner with well-established and reputable companies. For example, if you need specific software, reach out to a company like Sierra Cad/Cam for more information about their products. Don’t settle for anything less than the best if your small business depends on it. You don’t want to pay for a painful lesson down the road.

Take Advantage of Social Media

Advertising used to be expensive, but now there are numerous social media platforms through which you can spread your message. Get accounts on Facebook, Twitter, Instagram, and other platforms. You don’t need to hire a social media pro to do the work for you either. Social media is open to all people, and your small business will find a wide audience if you reach out.

Tilt gesture keyboard could hold promise for typing in VR

Keyboard nerds like me could become a dying breed if the voice-controlled future accelerates at us quite as quickly as companies like Alexa-owning Amazon hope. But in the interim, with screens still loitering in the orbits of our fingertips, texting remains the done thing (well, not counting kids who prefer recording voice messages to send to each others’ messaging apps — I know, I know, path of least resistance and all that…).

Meanwhile, there are more types and growing numbers of computing devices in play than ever before, from wearables to VR headsets, so interface researchers are finding additional reasons to optimize keyboard-based usability kinks.

To wit: a group of researchers, led by postgraduate student Hui-Shyong Yeo at the University of St Andrews, has come up with a tilt-based typing technique designed — at first glance — to be an alternative for users of larger smartphones (phablets) or tablets; to enable one-handed typing, i.e. when your palm won’t easily stretch across the full span of glass. And many a cracked smartphone screen can surely be blamed on an unfortunate typing accident.

The researchers have called their tilt-based entry keyboard SWiM for short: aka ‘Shape Writing in Motion’. The core text entry technique is akin to gesture-based keyboards like Swype, where users use fingers to trace patterns over the keys to spell out words. (Indeed, they utilized Swype’s interface for this portion of the tech.) But the twist is SWiM users tilt the device with their dominant wrist to form the shades needed to form the words. So no finger-dragging necessary, just a little wrist dexterity.

“The dominant hand typically exhibits finer temporal and spatial resolutions,” they write in a research paper detailing the study, which also specifies that their technique only relies on pitch and roll for text input, as “the dexterity of yaw using one’s hand is very limited”.

“Our tilt-based technique allows one-handed text entry and also lends itself as a suitable text entry method for remote controllers, wearable devices, and for virtual reality text entry, where users cannot see the keyboard input device,” they add.

The researchers found that first time users who tested the tilt-based input system as part of the study were able to achieve a rate of 15 words per minute after “minimal practice”, and a rate of 32 wpm after around 90 minutes of practice.


To begin and end words using the tilt method — which utilizes accelerometer/gyroscope tech embedded into modern mobiles — the researchers came up with an additional on-screen button they call the “chat head”. This is a semi translucent bubble-like object that can be user-positioned on the screen. To type using SWiM the user taps on the chat head to start forming a word via tilting a pointer ball over the keys, before tapping a second time on the chat head to complete a word (which also inserts a space).

 The chat head also supports gestures such as a left or right swipe which can be used for other gesture-based functions — such as deleting a word from the suggestions bar above the keyboard. Words can also be selected from the suggestions bar via tilting the pointer to a suggested word and short clicking on the chat head.

In the paper, the researchers describe SWiM as “fast and easy to learn compared to many existing single-handed text entry techniques”. The study involved a small number of participants conducting a transcription and a composition task using the technique (and also comparing their input to their standard typing and standard shape writing).

The study also looked at performance improvement over time via a longitudinal pilot with one participant who took part in six separate typing sessions — their SWiM entry rate rose from 15.60wpm during the first session to 32.18wpm by the sixth; an improvement rate of 106.3 per cent; also a much larger gain at the end of all the sessions than for normal typing (22.8%) and normal shape writing (29.5%).

Tilt as an input method for typing has been considered before — not least as a spoof option by SwiftKey for a 2013 April Fools joke — but experiments have yet to turn into any extended commercial rollouts. Yet as computing shifts into more types of devices — including those with very small screens or screens that can’t easily be touched — the need for alternative and/or supplementary input methods does, arguably, step up.

The researchers especially see potential for the technique to be useful in VR. “We believe our technique to be well suited for input in virtual reality (VR) applications. When wearing a VR headset, the user often cannot see the keyboard. Thus, a simple controller that supports tilt (e.g., Google VR controller, Oculus Touch) can use SWiM for text input,” they write, adding: “Our studies show that the technique has high immediate efficacy and is reasonably fast.”

Their first next step will be to release an installable version of the keyboard for users of touchscreen devices. “In the future, we plan to integrate our technique with a gesture keyboard and release it as an installable touchscreen keyboard application,” they write.

“We will continue to investigate which factors affect tilt-based shape writing and hope to improve SWiM over time. Lastly, we aim to use this technique on other devices, such as smartwatches, digital pendants, and head-mounted displays (HMD), which already have built-in tilt sensors.”

The research paper, entitled ‘Investigating tilt-based gesture keyboard entry for single-handed text entry on large devices’, will be published by the ACM SIGCHI in the upcoming Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems.

Equity podcast: The return of IPOs and Tesla’s billion-dollar bet

One down, many more to go! The first episode of TechCrunch’s latest podcast, Equity, our venture capital-focused podcast is out.

This week, TechCrunch’s Matthew Lynley, CrunchBase editor-in-chief Alex Wilhelm and I sat down with investor and SaaStr founder Jason Lemkin to talk about Tesla’s $1 billion raise, the return of IPOs and recent acquisitions in the technology space.


Equity drops every Friday at 6:00am PT, so subscribe to us on iTunes, Overcast, Pocketcast, Downcast and all the casts.

Showcase your creativity by learning mean stack web development

Today, technology education pays focus on the innovation and understanding of the subject. To meet excellence at par, it keeps maintain balance between the basics and the emerging technologies. There are so many splits of hardware and software, institutions keep making changes and add on to the courses that a student can choose from. Mean stack web development is one such course that helps avid learners touch heights of their career field and showcase their creativity. With good mean stack web development training and an exposure to the projects makes it a must pick by the students.

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Business these days is governed by its website; people prefer to develop a web site for their product and services as it gives them ample exposure across the globe. Thus, inviting more customers to your website as the entire training revolves around the web portal, complete information starting right from basic to complex is provided to him so that he is able to create websites with lesser coding.

Mean stack Web Development course in Dallas will assist in writing the entire code and that too within short span of time. Join the course to grab enough training and learn to develop great web applications which will indeed not only take your career to higher notch but also transform the technology industry.

What you are taught at the training?

  • You get to know about the code and its applications
  • It will teach you how to make single page applications
  • You will be able to write express back end web services.
  • You will be able to efficiently develop filters, reusable services and Angular Js.

Any student or developer who wants to learn and develop using this mean stack training should be familiar with the HTML and CSS. He should possess basic experience of developing websites. Plus, he should be well acquainted with the JavaScript language of the computer. After getting training he will be benefits in the following way-

  • He will be able to create quick web applications with the help of its framework library.
  • As the coding is based on the JavaScript, it is widely accepted with the JS community.
  • Through this training, a learner is able to create app as well.
  • It teaches you advanced web applications.
  • Websites created through Mean stackexposes to large number of resources thus making it efficient to get updated regularly.
  • It helps in learning the most important part of any website i.e. coding.
  • Simple codes are used to develop the websites that makes the course easier to understand and implement.

The students who take regular lessons and get clear their doubts during doubt sessions are capable of developing apps thus making an addition to their career. With ample practice session, live demo and in-depth course study assists in becoming proficient in the technology. This will help them meet the challenge of the job requirements.

Handling Things Right with Leading SAFe Certification

It is important that you learn about the principles and practices of SAFe. In the way, you will learn the method of execution and releasing of the values by means of the Agile Release Trains. However, with the help of the Leading SAFe Certification you even learn how to create agile portfolio and get to lead the lean agile enterprise. Among the attendees you have the typical managers and the executives and you can even interact with the consultants and the lean agile leaders. This way you can have the best interaction with the agile change agents. The SAFe certification program is meant for the managers and the executives as they make use of the concept to create changes within the enterprise.

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Necessity of a SAFe Agilist

A SAFe Agilist is liable to act with responsibility within the ambiance of the software enterprise. This causes validation in the knowledge to be applied in the Scaled Agile framework. For the same you need to have lean thinking and you should also follow the product development flow in the context of the enterprise. In the way, you can perfectly lead the adoption of the scaled agile framework. To be a part of the program you need certain prerequisites.

Dealing with the Concept

To play the role of a SAFe Agilist you need to have five years of experience in the field of software development. You should also play the role of a testing expert and you should also have knowledge of business analysis. Now, you know how to deal with the kind of product or project management. For the same you also need to have the experience in scrum. As of the curriculum you are introduced to the scale agile framework. In the process, you can perfectly embrace the agile and the lean values. There is also understanding of the SAFe principles.

What Should You Know

As part of the SAFe Agilist role you should also know how to have a proper experience with the PI planning. As part of the program one can even execute and release the apt value. It is necessary that to deal with the concept you build an exact Agile portfolio. It is also important to have the competence to lead the lean agile enterprise. However, to be an expert you can be as part of the leading SAFe course. It is important that you pass the SA examination and become best in the genre. In fact, you have more things to cope up with in the process.

Learning SAFe in Dubai

There is the Leading SAFe Training In Dubai. As part of the program you can learn the details of the concept and acquire the SAFe skills appositely. It is a successful program to help you get the perfect understanding of the Scaled Agile Framework. You need to stay under the guidance of an instructor to learn the SAFe process. The concept becomes clear once you deal best with the free reference materials. In fact, better dealing with the concept helps you become an expert in the field effectively dealing with the agile details.

Spectacular Stanozolol for a lean muscular Frame


A toned body with a heart throbbing ripped physique and a lean muscular frame is all that a fitness freak seeks for. Achieving such an amazing personality is neither easy nor difficult, if one puts adequate efforts in the adequate direction. Involving oneself in rigorous workouts and training sessions is a crucial aspect of experiencing wonderful weight loss, adding a strict healthy diet schedule undoubtedly will do wonders, but the degree of crisp that professional bodybuilders, players and athletes need cannot be satisfied solely. There arises a need of performance enhancing drugs, an anabolic steroid is an epitome of such supplement renowned for its astounding benefits. Steroids also avay as winstril tablets or winstril depot is a spectacular fat loss and muscle gain drug that not only waves off obstinate fat layers but also fosters endurance, strength and agility.

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Aids in Cutting Cycle

It is worth mentioning that for securing quick and effective results by putting an anabolic steroid as a crucial part of your weight loss regime, appropriating into prominent cutting cycles is necessary. Bulking cycles cannot combat the peculiarities of cutting cycle, that serves as a viable reason behind facilitating use of Stanozolol. It is associated with you weight lifting benefits and prevents water retention from the body that helps in gaining a lean muscular mass with ease. Its effective weight loss benefits have won million hearts and enforced them to stick to this astonishing supplement. Bodybuilders, athletes and other professionals can now showcase their ripped physique along with gaining strength and endurance. For ensuring that one secures maximum advantage, using it in adequate proportions along with combining it with other supplements in an adequate amount is inevitable.

Facilitate Appropriate Use

Merely buying Stanozolol will never shed those stubborn fat layers ruling the body, facilitating its proper use is necessary. The amount of dosage to be taken must be confirmed from an expert before using it. Taking it in inadequate proportions can prove disastrous for the human body. One needs to communicate each and every aspect about itself before seeking advice from a doctor. This performance enhancing drug serves as a boon to male professionals by aiding them in enhancing their masculine appeal. Women should consume this weight loss supplement in smaller proportions as compared to men. Excessive dosage never leads to overwhelming outcomes, this myth needs to be redefined. If one wishes to experience life changing muscle put up, combining it with a regular strict exercise and diet regime is crucial.


Remarking weight loss becomes quite cumbersome when one does not has access to the correct nutritional stimulators. Stanozolol is associated with weight lifting benefits and hence is preferred by leading professionals as a part of their weight loss efforts. Its benefit arising as a function of steroid mass cycles and cutting cycles serve as a performance enhancer for fostering overall growth of ripped muscles and a powerful body. Opting for this effective muscle gain solution would act as the most prominent step towards a enduring lifestyle.

DeepMind says no quick fix for verifying health data access

Why should you trust an advertising giant with the most sensitive personal data you possess: aka your medical records? That’s the hugely sticky issue Google-owned DeepMind is facing as it seeks to embed itself into the U.K.’s healthcare space — a big push publicly announced in February last year.

DeepMind is now fleshing out in a little more detail how it hopes to futureproof patient trust in commercial access to and monetization of their health data, via a blog post that puts a little more meat on the bones of a plan for a technical audit infrastructure first discussed last November — when DeepMind also confirmed it was building an access infrastructure for National Health Service (NHS) patient medical records. And the world-famous AI company is not sounding hugely confident of being able to build a verifiable audit system for health data — move over Alpha Go! There’s a new challenge for DeepMind to apply its collective wits to.

The end-game of DeepMind’s NHS access infrastructure plan is for the company to have ownership of a standard interface that could be rolled out to other NHS Trusts, enabling both DeepMind and third-party developers to more easily deliver apps into the U.K.’s healthcare system (but with DeepMind positioned to be able to charge other app-makers for access to the access API it’s building, for example).

On its own account, it has said that where AI and health intersect its future ambition is to be able to charge by results. But in the meantime, it needs patient data to train its AIs. And it’s that scramble for data that got DeepMind into early hot water last year.

Since 2015, the company has inked multiple agreements with U.K. NHS Trusts to gain access to patient data for various purposes, some but not all for AI research. The most wide-ranging of DeepMind’s NHS data-sharing arrangements to date, with the Royal Free NHS Trust — to build an app wrapper for an NHS algorithm to identify acute kidney injury — caused major controversy when an FOI request revealed the scope of identifiable patient data the company was receiving. DeepMind and the Trust in question had not publicly detailed how much data was being shared.

Patient consent in that instance is assumed (meaning patients are not asked to consent), based on an interpretation of NHS healthcare data-sharing guidelines for so-called “direct patient care” that has been questioned by data protection experts and criticized by health data privacy advocacy group MedConfidential.

The original DeepMind-Royal Free data-sharing arrangement (it’s since been re-inked) also remains under investigation by the U.K.’s national data protection agency, the ICO. And under review by the National Data Guardian, the government-appointee tasked with ensuring citizens’ health data is safeguarded and used properly.

Despite the ongoing probes, the app DeepMind built with London’s Royal Free NHS Trust has been deployed in the latter’s three hospitals. So you could say the AI-company thinking about a health data access audit infrastructure at this point in proceedings is akin to a coach-driver talking about putting an as yet unconstructed cart on a horse that’s already been released to run around the fields — while simultaneously asking those being saddled up to trust it. (See also: DeepMind wasting no time PRing the apparent benefits of the Streams app created after it gained liberal access to Royal Free patients’ medical records.)

The overarching issue here is trust — trust that the sensitive healthcare data of patients is not being shared without the proper authorizations, and/or with patient consent. And that patients are not left in the dark about who is being allowed to access their personal information and for what purposes.

DeepMind’s answer to the trust issue — and the controversy caused by how it went about acquiring NHS patient data in the first place — appears primarily to be a technical one. Though building an audit infrastructure after you’ve already gained access to data does not satisfy legal or privacy experts. And such a topsy-turvy trust trajectory may be unlikely to impress patients either. (Albeit DeepMind has also started engaging with patient groups, even if only after the controversy arose.)

In a blog post entitled “Trust, confidence and Verifiable Data Audit,” DeepMind paints a picture of a technical audit infrastructure that uses “mathematical assurance” and open source respectability to deliver “verifiable” data access audits that — it presumably hopes — will euthanize the trust issue, down the road. In a nearer time frame, its hope looks to be trying to kick the can of scrutiny far away from the “trust us” reality of how it is currently utilizing patient data (i.e. without a verifiable technical infrastructure to prove its claims, and while still under review by U.K. data protection bodies).

The Google-owned AI company writes:

Imagine a service that could give mathematical assurance about what is happening with each individual piece of personal data, without possibility of falsification or omission. Imagine the ability for the inner workings of that system to be checked in real-time, to ensure that data is only being used as it should be. Imagine that the infrastructure powering this was freely available as open source, so any organisation in the world could implement their own version if they wanted to.

Of course, that’s just introductory mood music. The meat of the post contains few concrete assurances, beyond a repeatedly stated conviction of how tough it will be for DeepMind to build a “Verifiable Data Audit for DeepMind Health,” as it describes the planned audit infrastructure.

This is “really hard, and the toughest challenges are by no means the technical ones” it writes — presumably an oblique reference to the fact that it needs to get buy-in from all the various healthcare and regulatory stakeholders. Ergo, it needs to gain their trust in its approach. (Which in turn explains the mood music, and the tight PR game.)

Timing and viability for the technical audit infrastructure also remain vague. So while, as noted above, the DeepMind-built Streams app is again in use in three London hospitals, its slated trust-building audit system has not yet even begun to be constructed.

And with the blog post replete with warnings about the challenges/difficulty of building the hoped-for infrastructure, the subtext sounds a lot like: “NB, this may actually not be possible.”

“Over the course of this year we’ll be starting to build out Verifiable Data Audit for DeepMind Health,” it writes early on. But by the end of the post it’s talking about “hoping to be able to implement the first pieces of this later this year” — so it’s shifted from “starting” to “hoping” within the course of the same blog post.

We’ve reached out to DeepMind to ask for clarity on its timeline for building the audit infrastructure and will update this post with any response.

In terms of additional details of how the audit infrastructure might work, DeepMind says the aim is to build on the existing data logs it creates when its systems interact with health data via an append-only “special digital ledger” — not a decentralized blockchain (which it claims would be wasteful in terms of resources) but by a DeepMind-controlled ledger that has a tree-like structure, meaning new entries generate a cryptographic hash that summarizes both the latest entry and all of the previous values — with the idea being to make entries tamper-proof, as the ledger grows. It says an entry would record: “the fact that a particular piece of data has been used, and also the reason why — for example, that blood test data was checked against the NHS national algorithm to detect possible acute kidney injury.”

Notably it does not specify whether ledger entries will log when patient data is being used to train any AI models — something DeepMind and the Royal Free have previously said they aim to do — nor whether an audit trail will be created of how patient data changes AI models, i.e. to enable data inputs to be compared with patient outcomes and allow for some algorithmic accountability in the future. (On that topic DeepMind, probably the world’s most famous AI company, remains markedly silent.)

 “We’ll build a dedicated online interface that authorised staff at our partner hospitals can use to examine the audit trail of DeepMind Health’s data use in real-time,” it writes instead. “It will allow continuous verification that our systems are working as they should, and enable our partners to easily query the ledger to check for particular types of data use. We’d also like to enable our partners to run automated queries, effectively setting alarms that would be triggered if anything unusual took place. And, in time, we could even give our partners the option of allowing others to check our data processing, such as individual patients or patient groups.”

Looping patients into audits might sound nice and inclusive, but DeepMind goes on to caveat the difficulties of actually providing any access for patient groups/individual patients as one of the major technical challenges standing in the way of building the system — so again this is best filed under “mood music” at this nascent point.

Discussing the “big technical challenges” — as it sees it — the first problem DeepMind flags is being able to ensure that all access to data is logged by the ledger. Because, obviously, if the system fails to capture any data interactions the entire audit falls apart. So really that’s not so much a “challenge” as a massive question mark about the feasibility of the entire endeavor.

Yet on this DeepMind merely rather tentatively writes (emphasis mine):

As well as designing the logs to record the time, nature and purpose of any interaction with data, we’d also like to be able to prove that there’s no other software secretly interacting with data in the background. As well as logging every single data interaction in our ledger, we will also need to use formal methods as well as code and data centre audits by experts, to prove that every data access by every piece of software in the data centre is captured by these logs. We’re also interested in efforts to guarantee the trustworthiness of the hardware on which these systems run – an active topic of computer science research!

Frankly, I’d argue that there being zero chance of “secret software” getting clandestine access to people’s sensitive medical records would have to be a requirement, not an optional extra, for the proposed audit system to have a shred of credibility.

Notably, DeepMind also does not specify whether or not the “experts” it here envisages being needed to audit its data centers/infrastructure would be independent of the company itself. But obviously they would need to be — or again any audits the system delivers would not be worth the paper they’re written on.

We’ve reached out to DeepMind with questions about its intentions vis-à-vis open sourcing the technical audit infrastructure, and again will update this post with any response.

As with end-to-end encryption protocols, for example, it’s clear that for any technical audit solution to be credible DeepMind would need to open it up entirely — publishing detailed whitepapers and fully open sourcing all components, as well as having expert outsiders perform a thorough audit of its operation (likely on an ongoing basis, as the infrastructure gets updated/upgraded over time).

Nothing short of a full open sourcing would be required. Remember: This is a data processor itself proposing to build an audit system for the health data it is being granted access to by the data controller. So the conflict is very clear.

DeepMind does not make that point, of course; rather it concludes its blog with a vague hope of getting help in realizing its vision from any generally interested others. “We hope that by sharing our process and documenting our pitfalls openly, we’ll be able to partner with and get feedback from as many people as possible, and increase the chances of this kind of infrastructure being used more widely one day, within healthcare and maybe even beyond.”

But if the company really wants to inculcate trust in its vision for overhauling healthcare delivery, it will need to make itself and its processes a lot more transparent and accountable than they have been thus far.

For example, it could start by answering questions such as what is the legal basis for DeepMind processing the sensitive data of healthy patients who will never go on to develop AKI?

And why it and the Royal Free did not pursue a digital integration solution for the Streams app that only pulls in a sub-set of data on patients who might be vulnerable, rather than the much broader swathe of medical records that are passed to DeepMind under the data-sharing arrangement?

Asked for comment on DeepMind’s audit infrastructure plans, Phil Booth, coordinator of MedConfidential, raised just such unanswered questions regarding the original data-sharing arrangement — pointing out that the ongoing issue is how and why the company got so much patient identifiable data in the first place, rather than quibbles over how data access might be managed after the fact.

Discussing the proposed audit infrastructure, Booth said: “In the case of Google’s dodgy deal with the Royal Free, this will eventually demonstrate to a patient that data was copied to Google ‘for direct care’ when they were nowhere near the hospital at the time. It should irrevocably log that Google got data that they were not entitled to access, and now refuse to answer questions about.”

“It’s like a black box recorder for a flight,” he added, of the audit infrastructure. “You always hope it’s not necessary, but if something goes wrong, it’s reassuring to know someone can figure out what happened after your plane flew into a mountain.”

Three Tech-Based Strategies That Can Push Your Organization Forward

Technology is a wonderful thing, but only if you know how to implement it in ways that make your life more efficient. If you’re a business owner who wants to push your organization forward, it’s important to know that the use of tech-based strategies can empower you to obtain great results such as expedited daily operations, optimized conversion, and more. Refer to the tech-based strategies in this quick reference guide to begin moving your organization forward immediately:

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  1. Purchase Goods Via Internet.

Shopping online is a wonderful tech-based technique you can deploy to push your organization forward. The reason this strategy is helpful results from the fact that it will enable you to save time that would have been spent travelling to a physical store, dealing with pushy salespeople, etc. In the event that your company makes use of pumps, pneumatics, or electrical equipment, you can attain them from online retailers such as MROStop. Visit the website today to get quote.

  1. Tap Into The Power Of Online Marketing.

Technological advancements have resulted in the rise of online shopping, and this is why you need to tap into the power of internet marketing. Doing so will enable you to sell more of your company’s products and services via internet. Some of the dynamic online marketing services that a digital firm might offer you include content marketing, online reputation management, social media optimization, search engine optimization, and responsive web design.

When you start looking for the right online advertising agency, make sure that you select a community of professionals who will also offer public relations services like crisis communications, product development, press releases, etc.

  1. Start Using Customer Relationship Management (CRM) Software.

In addition to tapping into the power of online marketing, make sure that you begin using CRM software. This software will expedite and optimize your company’s sales operations by putting customer-related data in one central, organized sphere. With this software, you’ll be able to enhance the lead generation process while also tracking the purchasing behavior of your current clients.

Start Using These Tech-Savvy Strategies Now!

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Uber’s Self-Driving Fleet Takes On San Francisco

Uber on Wednesday rolled out a fleet of self-driving cars in San Francisco, the second U.S. city to participate in its pilot project. Pittsburgh was the first.

Riders who request an UberX — the lowest-priced Uber vehicle — will be matched with one of the self-driving Volvo XC90 SUVs if one is available and if the customers are willing, according to Anthony Levandowski, head of Uber’s Advanced Technology Group. They can accommodate three passengers.

San Francisco “comes with its own nuances, including more bikes on the road, high traffic density and narrow lanes,” Levandowski noted.

San Francisco “is one of the most challenging cities for an autonomous car … because there are lots of obstacles, including cable cars, which are unique to the city,” said Rob Enderle, principal analyst at the Enderle Group.

Further, “the hills are particularly steep,” he pointed out.

“The buildings are close and high, blocking GPS signals and challenging GPS accuracy, and pedestrians generally don’t follow traffic signals or use crosswalks,” Enderle told TechNewsWorld. “There’s an argument that if you can handle San Francisco, you likely can handle any city in the United States.”

The self-driving Uber vehicles have drivers on board who can take control if need be.


Sensors and Such

Volvo built the vehicles and sold them to Uber, which added its own self-driving hardware and software.

They are developed on Volvo’s fully modular Scalable Product Architecture, which is used on the XC90 SUV, and on Volvo’s S90 and V90 premium vehicles.

The control apparatus is mounted on the vehicles’ roofs.

Uber’s technology consists of the sensor pod and the compute stack in the trunk — CPUs and GPUs in a blade architecture that allows easy swapping of failing parts, TechCrunch reported.

The cars reportedly have optical cameras, radar, LiDAR and ultrasonic detectors. Their iPad-based display lets users take a selfie and share the image from their ride.

Self-Driving Debate

Self-driving service vehicles “dramatically reduce the cost and increase the revenue” of operators, Enderle said, “because analytics can put the cars where the most demand is, they can be utilized 24×7, and they don’t require drivers — so you have vastly lower wages, benefits and insurance premiums.”

That said, the pilot project may engender opposition from cabbies and Uber drivers in San Francisco, who might “go out of their way to cause accidents with [the self-driving vehicles] to force the failure of these tests and preserve their jobs,” Enderle cautioned. “That has happened before.”

Flouting the Law

Uber began running its vehicles on San Francisco roads some weeks ago, but it has yet to obtain a permit from California’s Department of Motor Vehicles, or register with the Department as required by law.

It doesn’t believe it needs a testing permit, Levandowski argued, because “we are not planning to operate any differently than in Pittsburgh, where our pilot has been running successfully for several months.”

Also, the rules “apply to cars that can drive without someone controlling or monitoring them,” he said, and Uber’s vehicles aren’t ready to do so yet.

“We have a permitting process in place to ensure public safety as this [self-driving] technology is being tested, said California DMV spokesperson Cristina Aguilar.

“Twenty manufacturers have already obtained permits,” she told TechNewsWorld, and “Uber shall do the same.”

The San Francisco city attorney “should immediately have police arrest Uber’s CEO for this flagrant violation of a law that’s intended to protect people’s safety,” said John Simpson, privacy project director at Consumer Watchdog.

A key reason for the DMV regulations is “to ensure that important data like crash and disengagement reports are filed and made public,” he told TechNewsWorld.

“Google had test vehicles on the roads long before they even told the DMV they were doing this,” Enderle pointed out. “Until you start manufacturing, prevention is left to law enforcement, which is currently ill-equipped to even identify a self-driving vehicle, let alone do something about it. “