Strategies to choose the best online casinos

Technology has brought people several opportunities to have various kinds of thrills. Online casinos are considered to be some of these options available for the online game lovers. Read on to find the strategies on how to find a best casino from online. A best casino from the World Wide Web is one such thrill offered by the technology to the people who can play their favorite casino games right from their homes or even at work places during the free times. Because of this great convenience online casinos are getting popularity among the casino game lovers as well as other computer enthusiasts from all parts of the world. Irrespective of online or real time casino games the selection of the best casino seems to be an important factor for all types of players including the new comers to the game. One should not forget or ignore the fact that risk taking is part and parcel of our lives and all casino games whether real time or online pose a challenge to the players of all kind.

Selecting the best casino online

Hence choosing the best casino is mandatory and lies with the players before venturing into this risky game. For the online players it is always suggested to read some of the online casinos reviews given in many reputed websites. Such reviews will be very handy for the beginners in selecting the right casino games in order to taste success. For the benefit of the new comers to the online casino games as well as the readers of this short article few strategies are suggested here in selecting the right online casinos. These are listed as under:

Bonuses: Famous websites like no deposit bonus canada offer bonuses to the players as a matter of marketing strategy to attract the new players. With this kind of unique feature one can play the online casino games without any investment and a mere sign up action will do to play the game right from the home. This feature is undoubtedly attracting people who do not even hear these online casino games. This seems to be a real boon to such new entrants. Reputation of website: This looks to be the key while playing the online casinos. Reading the reviews will be very handy for selecting the right websites. One should not become a victim to many spam websites and lose the hard earned money. Famous websites like Bet online are some of top online casinos for global players that have a spotless reputation for many years.

The path from a developer to Product owner – change of responsibilities

Scrum technology is successful in bringing together both the end like the old and traditional system of production as well as the new methodical procedure for faster and better rate of production. The system also brings all the heads right from the workers to the owner under its fold. The owner decides what is to be produced and then the technical department along with the workers, the supervisors, team leaders and also all the departmental heads decide how this can be distributed.

The method and its utility:

The technology has made everything very transparent. The workers get to know what he has to, as in which department or segment they need to work on. This makes easy distribution of labor and no one is taxed because the distribution is sorted out beforehand. The workers put the best out and if they have any issues the supervisor and the team leader are there to sort things out fast. The quality of the produced goods is tested and since it is checked one becomes sure that the clients do not have anything to complain about. With the Safe 4.0 Adavanced Scrum Master Course in Melbourne the departmental heads know how to segregate the work. They make sure that the workers do not have any problem.

The very next thing that is dealt is the marketing strategy. Once the sales team bring in the report from the market, giving them a fair idea of the future of the product the marketing heads start planning which all measures to be taken and how they are going to maximize the profit limit of the company, much to the comfort of the stake holders, since more the company makes profit, more is their benefits. So the Scrum technology brings forward a concrete plan how to work in a more methodical way.

The other benefits:

The products which come out of the company gets distributed all over to the clients and also to the end users. Now this might as well be used by some other clients and since the quality is up to the mark they might as well get in touch of the company and orders for more. This is once again great news for the company. There are investors and again since the company is putting on the best of effort as well as making premium products might bring them many investors who want to invest funds for the production of the goods.


The main thing that Scrum brings is the proper coordination among all the segments and this help in maintaining the quality. The workers are connected to the supervisors, the supervisors are reporting to the team leaders with  Safe 4.0 Adavanced Scrum Master Certification and they report to the departmental heads. The chain way that is maintained is what the strength of the company. So the technology not only helps in produce the goods at a faster rate it also works with coordination and that is the reason they do not mess up with the quality of the production of the goods.

Meet the company that’s looking to make non-surgical male birth control a reality

While the male birth control pill is still a fiction (that may never become fact), a new company called Contraline is working to make at least one non-surgical, reversible birth control procedure a reality.

The new technology is aiming to be one small (snip-less) step for men, and one giant leap for male contraception.

Based in Charlottesville, Va., Contraline is the culmination of four years of research conducted by the company’s chief executive Kevin Eisenfrats at the University of Virginia.

Ever since Eisenfrats shadowed operating room physicians in his senior year at the Academy of Allied Health Science high school in his hometown of Monmouth, NJ the now 23-year-old chief executive was fascinated by reproductive health.

“There are so many problems at the center of reproductive medicine and biomedical enginering that really come with no solutions,” Eisenfrats says.

In fact, the young CEO’s entrance essay to UVA was on the male birth control pill and why it didn’t exist.

Eisenfrats graduated with a degree in nano-medicine engineering and immediately began working with his co-founder John Herr (a longtime professor at the University of Virginia who died in 2015) on the Contraline technology.

The two men developed a reversible procedure that uses a gel injected into the vas deferens to literally block sperm during ejaculation. “For lack of a better word, the guy is literally shooting blanks,” he says.

Unlike other procedures, which rely on surgery to inject the gel into the canal that conveys sperm to the urethra, the Contraline procedure uses ultrasound as a guidance. The gel the two men developed is ultrasound visible (so it can be injected) and is dissolvable so that the procedure is reversible.

It’s important to note that the gel won’t prevent the transmission of sexually transmitted diseases. “The people this is for are couples in a long term relationship,” says Eisenfrats. Although, he adds, most of his friends want to get Contraline-d themselves.

Other companies, like the non-profit Parsemus Foundation (the makers of Vasalgel), are also working with a polymer gel, but still rely on surgery to insert the gel.

According to Eisenfrats, Contraline is plowing fertile ground when it comes to the potential market it’s addressing.

“This is basically the male birth control of the future,” he says.

The company has raised $2.5 million from investors including Abstract Ventures, Jaffray Woodriff, the Virginia Center for Innovative Technology, Jason Calacanis, and the strategic investor Afton Scientific, a vial filling and sterilization company. Founders Fund lead the latest investment.

It’s the second seed round for the company, which is bound to only raise seed financing (since it’s a contraceptive company) Eisenfrats joked.

 For Cyan Banister, who shepherded the deal through to investment for Founders Fund, happening on Contraline was a combination of luck and persistence. The company had turned up as the best of the Y Combinator Fellowship companies in a search conducted by Founders Fund’s interns.

Banister put a note to herself on a post-it reminding her to check in on the company, and she periodically did. She began conversations with the young startup August 2016 and the latest investment closed in March.

“I just kept checking back,” Banister told me.

In the seven months since those conversations began, Contraline brought on the urology specialist Dr. Paul Turek as an advisor (and now Chief Medical Officer) who validated that the company had been making significant strides.

“He validated that there were very few people working on that problem. Nobody was really making progress in birth control for men,” Banister says. “I believe that men want more options over their reproductive choices.”

With assurances in place from experts in the field of urology, and a careful vetting by Founders Fund’s own chief scientist, Banister was ready to cut the check.

That money has gone a lot farther in the company’s home base of Virginia than it would in San Francisco, the founding chief executive said. “We have our own 2200 square foot lab. The amount of space we have would be $1 million in San Francisco,” says Eisenfrats.

There are about 500,000 vasectomies performed in the U.S. every year and 22.5 million men relying on temporary contraceptives. “The contraceptive industry is $18 billion and growing,” says Eisenfrats. “[Our procedure] is a $7 billion opportunity in the U.S. [and] contraception is a global issue.”

According to Banister, the company’s plans extend beyond just male contraception. “There are things you can do with the gel for female reproductive health,” she said.

For now, the company still has a long way to go before the treatment will be generally available. A rat study is currently underway (“What I will say, is that the rats are loving it,” says Eisenfrats), but the company will conduct a large animal study this year.

Contraline will conduct clinical trials beginning in 2019 and hopes to be on the market by 2021, Eisenfrats said.

The company is one of a growing number of technology startups focused on male reproductive health. Just yesterday we wrote about YO, a “sperm selfie” startup, which is competing with Trak, another device that’s looking at the health of a man’s “fallopian swim team”.

When the time comes, Founders Fund’s Banister has a good idea who the first patient will be.

Talla service bot lets IT ease into AI

Talla, a Cambridge, Mass. startup, wants to help companies ease into artificial intelligence, and they have come up with a new service assistant bot that gives companies whatever degree of intelligence-fueled power they are looking for.

The tool, called ServiceAssistant, works as an IT or HR help desk inside of Slack or Microsoft Teams and gives customers a few options on how to use it. First of all, you can run it like a traditional service desk. The user sends requests through ServiceAssistant where it gets processed and answered by a human.

In the second scenario, the customer eases into automation where the ServiceAssistant provides an automated answer, which gets checked by a human before being sent through to the questioner, or at the highest level of automation the system simply sends an answer when the confidence threshold is above a certain level set by the customer.

CEO and co-founder Rob May says the company deliberately used an in-house service model instead of live customers because after reviewing the technology, he felt that the current Natural Language Processing (NLP) technology was better suited to this approach.

The Talla ServiceAssistant looks like any user on Slack or Microsoft Teams. As with any Slack or Teams bot, employees can interact with it by asking questions. If it’s tuned to be an HR assistant, for example, an employee might ask, “Do we have Labor Day off?” If the system has been configured to answer automatically, it’s the kind of question that it can answer with a high degree of certainty and can simply tell the employee yes or no.

In an IT Help Desk approach, the questions could get trickier such as, “How I get access to QuickBooks?” In this case, the system might find multiple matches, and if it were set for automated responses, it could ask the questioner to choose the most relevant one, or it could ask if they want to open a help desk ticket to move to the question to a human for processing.

The system is tuned to ask questions when it doesn’t understand and to learn from the responses. Since people ask questions in non-standard ways, the system can also learn that “Are we open Labor Day?” is the same as “Do we have Labor Day off?” or “Is the office closed on Labor Day?”

 May says even in companies where there are high usage rates for Slack or Teams, there could be as many as 20 percent of employees not using that tool, so they’ve also built a Web App and allow email, but the ultimate goal is to get people into the conversational tools to ask the questions — and do it in an automated way as possible.

The company wants to be more than a conversational bot, however. It wants to be a central place for processing IT and HR requests. That means having a ticket system, a knowledge base and the ability to broadcast to employees, for example, when the system is going down for maintenance or the office is closed for a holiday.

May says among his customers Slack is definitely the more popular of the two offerings today, but he believes it’s important to look at the different conversational tools and continually assess where that market is going as it’s still being established.

“What does that [conversational market] fragmentation look like int two years is one of our biggest strategic worries,” May says.

The company is very much a startup with 16 employees. It’s raised $4.5 million. May was previously co-founder at Backupify, a cloud startup that was sold to Datto in 2014.

Clenbuterol and the Post Cycle Therapy

Clenbuterol forms an essential part of the Post Cycle Therapy. The sane is used for the reason of bulking cycle and the solution can best help the body builders for the retention of the lean muscle gaining. The agent can well act in cutting down the stored amount of fat in the body. Clen is an essential part of the steroid bulking cycle and it is the popular anabolic solution you can use for a quick increase in the amount of the lean muscle mass. This is the medicine to help you have a gain in strength and now you can enjoy a speedy recovery in the shortest time span.

Image result for Clenbuterol and the Post Cycle Therapy

Clen is Always the Right Choice

It is time now that you consider the Clenbuterol PCT dosage. The apt dosage will help you retain the right mass and strength. You are in need of Clen PCT for the normal restoration of the hormonal balance. This one even acts in shaping the muscles appositely. This is the right solution to exhibit the sort of muscle sparing for the reason of anti-catabolic effects. The solution can help the bodybuilders and burn down the extra amount of fat and at the same it can cause the retention of the hard earned muscles.

Clen for Post Cycle Therapy

The supplement is considered suitable for the reason of post cycle therapy regimen. This is the best item to be used at the time of Dianabol or Deca-Durabolin PCT. It comes with the rest of the recovery elements such as Clomid, Nolvadex, Arimidex, Cytomel (T3) and Human Growth Hormone (Somatropin). The usage of Clen is even seen after the PCT and you can continue with the medicine for several weeks to help in the process of cutting down extra fat portions and also for the reason of apt muscle preservation. One can easily buy Clenbuterol online. For this, you just need to approach the right online vendor.

Using Clen with Reason

There are reasons for which a bodybuilder makes use of Clenat the time of post cycle therapy and this is done by following the bulking stack. One can make use of the supplement for the reason of PCT. This will help in providing proper protection to the muscles and in the way things are made permanent and right. When having Clen you are in need to have an intake of the right amount of calorie and this is made to happen after the cycle without the probable gain of the body fat.

Right Clen Dosage to Consider

It is vital that you know about the opposite Clenbuterol PCT dosage. There is the version of the Clenbuterol HCL and consumption of the same can help you become the better and energetic athlete on the field. The supplement helps bin improving the rate of athletic performance and the intake of the solution can help you have better stamina. Now, you can feel the intensity at the time of working out. The role of Clen is exactly like PCT and the supplement can help in exhibiting the amount of muscle sparing effects.

The training helps in acquiring qualities that are expected from a scrum master.

A certified scrum product owner is the responsible person of the business who governs the success and failure of the product and at the same time liable for the return of investment. He should be laced with foresight and should be capable of leading his team towards achievement of the goals of the company. He should be clear in his strategies and capable of presenting his views in a most impressive and influential way. To nurture these qualities in a person csp Training does a remarkable job. It helps in cultivating all the qualities that he needs to become a scrum master through its virtual classroom. To help him with best education the teaching is imparted by certified scrum alliance. To add on to his learning, hand on practices and real life experiences are shared so that he gets the, better idea of all the concepts and techniques of the scrum.

Image result for The training helps in acquiring qualities that are expected from a scrum master.

For all those aspirants who wish to become a scrum master and take their business to the next level, csp Training in Boston do a remarkable job. Have a look at the qualities that an aspirant grab while undergoing the training.

  • Becomes a responsible person- The tools and techniques are clearly explained to him. His work in the business is explained to him. He is entrusted with the responsibility of completing projects within stipulated time. He manages to do so after learning from the teachers thus making a responsible person who can take up aresponsibility of handling any project.
  • Becomes more presentable- During the training period he is given hand on experiences and how he can motivate his team members towards the accomplishment of the goals, this is where he picks up the quality of making himself clear to his team. He makes clear his expectations from them and then set small targets. These small targetshelp him keep an eye on the progress of the project, thus enabling him to take a needful decision at the time of crises.
  • What should come first- The scrum master is clear in his working as to what he should start with during his project. This is the classroom training that helped him mange his work and priories accordingly. He motivates his team members to follow the track that complete the project within time.
  • Communication skill-This is the governing factor for any business. A scrum master is able to communicate well with the team members and product owners. The clarity of expectations helps him briefly explain his requirement to the team members. For this he plans daily meetings and convey his messages to the team members. It also helps him keep check on the progress made on the previous day.
  • Bridges the gap between the customer and the stakeholder- With continuous check on the working process, he is able to assure that the right product will be delivered and the project is heading towards the success. He should ensure them that the expected returns on investments could be obtained from the project.

Learning everything about the Scala and apache spark

Spark is a popular framework that is used for implementing the concepts of cluster computing. But due to its high level functionalities, it is often used on the YARN framework of Hadoop. The main aim of spark is to give the needed speed to the process of computation. For anyone who is planning to work on the concepts of big data analytics, the apache spark and Scala online certification will come in handy.

Image result for Learning everything about the Scala and apache spark

If you sign up for apache spark and Scala online training in Boston, you are expected to know the basics concepts of Scala, a programming language used for the development of web applications. When it comes to data computation and analysis, the problems were faced due to slow speed of the queries and algorithms. With the help of spark, this process helps in improving the way memory storage is done and how the process of fault recovery is made efficient.

If you want to understand the basics, you should begin from the concepts of the RDD. RDD is the resilient distributed dataset which is used for the data abstraction following the core concepts. RDD is basically a collection of objects that are defined in the process of development. The concept here is simple; the RDD is divided into a variety of partitions. The computation of these partitions is done with the help of different nodes that are defined in the data cluster. Since we are talking in context to Scala, the RDD will contain objects that are based on the top of Scala.

Since the RDD play an important role, you either needs to create new RDDs as and when required or modifications is done as per the requirements. The process of data distribution is very sorted and done with uniformity across all the clusters to ensure that the operations take place in the desired manner.

The areas of applications of apache spark with Scala are quite a man and since there are a very low amount of compatibility issues, one doesn’t need to worry about it in any possible situations. It is composed of various components like Spark Streaming, GraphX, Spark SQL, etc. these are nothing but the libraries that cover wide range of topics and thus most of your requirements related to development could be taken care of with the help of them instead of doing it on your own.

There are a lot of added advantages when you use the apache spark with Scala. One of such aspects is the compatibility. The development of apache spark is done in Scala itself and therefore when you use it for your development related needs, the task would not just get simplified but the concepts of compatibility would also come in handy. If you have any knowledge about the Scala, you will know that it is one of the easiest languages to write and implement and due to this, the problems related to complexities have widely reduced leading to high level of security and reliability.

Uber Said to Be Rethinking Its Car Leasing Strategy in India as Driver Incomes Drop

Global ride-hailing firm Uber Technologies is rethinking its car leasing strategy in India, its second-biggest market, as drivers have returned dozens of leased cars early after the company cut incentives, people familiar with the matter told Reuters.

Uber had planned to buy 15,000 new cars last year and lease them out in a bid to attract more drivers – a strategy it has used in other markets – but it suspended the scheme for a while in December after leasing just a third of that total.

Uber Said to Be Rethinking Its Car Leasing Strategy in India as Driver Incomes Drop

After burning through millions of dollars over three years in a battle for market share with local rival Ola, backed by Japan’s Softbank, Uber has cut the incentives it gives to drivers and raised the fares it charges passengers.

The incentives – from free smartphones to cash bonuses worth as much as double a day’s fares – meant drivers could earn as much as Rs. 120,000 ($1,838) a month.

Those incentive payments have been pared back, in some cases to as little as 10 percent of fare income. Ride fares have risen to Re. 1.5 per minute of travel from Re. 1.

The incentives and, to an extent, the leasing scheme aimed at drivers without their own cars, boosted Uber’s driver numbers, helping it rapidly gain around 30 percent market share.

Uber has faced challenges elsewhere in Asia, but the stakes are high in India’s $12 billion taxi market, a key area after it exited China last year, and one where CEO Travis Kalanick has said it expects to be profitable soon.

Uber has said its services are in 29 Indian cities and it has more than 250,000 drivers on its platform, but it lags Ola, which says it operates in more than 100 cities with about 550,000 drivers.

Business shift
Two people with knowledge of the matter said Uber miscalculated the impact that the reduced incentives would have on drivers’ earnings, especially those making lease payments.

At an open meeting for staff in December, around the time the incentives were being reduced, Uber’s India chief Amit Jain said the buying-for-lease scheme was being temporarily suspended while the company evaluated its leasing strategy, one of the sources said.

Uber did not comment on Reuters queries related to Jain’s announcement or the impact of the incentives cuts on its leasing programme.

Raj Beri, business head for leasing in India, said the scheme was set up to help drivers without cars get on its platform and make money. “We are very pleased with our progress toward this goal so far, and look forward to introducing the opportunity to more prospective driver partners this year,” he said in a statement.

In a recent blog post on Uber’s website, Jain defended the cuts to driver incentives and signaled a strategic shift for India. “We can shift from startup mode to a more sustainable business model,” he wrote.

“No benefit in leasing”
Leasing is only a small part of Uber’s overall supply in India, but is seen as a way to lock drivers on to its platform for longer, and stop them switching to Ola.

To lease a new small car through Uber’s scheme, drivers pay a Rs. 33,000 ($499) deposit – less than what they would pay to buy a car from a dealer with a bank loan. But weekly payments of about Rs. 5,500 over three years add up to nearly double what drivers would pay to service a car loan.

That wasn’t an issue when incentives were high.

Several Uber drivers said they feel trapped as a surge in the number of cars on Uber’s platform has led to fewer rides, at a time when incentives have been cut, making it harder to keep up lease payments.

“I’ll not be able to save even Rs. 10,000 a month,” said Arjun Chouhan, 38, an Uber driver in Delhi who has leased a car. “There’s no benefit in leasing. What if I’m unwell? They don’t listen.”

In a dusty car lot on Delhi’s outskirts, guards told Reuters that dozens of cars standing idle belonged to Uber and had been returned by drivers.

When Reuters phoned Xchange Leasing, Uber’s local leasing arm that has an office near the car park, officials said no new cars were currently being leased out. One said the priority was to lease those cars returned by drivers, and it could be 2-3 months before new cars would again be offered.

An Uber spokesman said the company doesn’t comment on “anonymous speculation”.

As part of its review, Uber may reduce the three-year lease term and let two drivers share the rent on a car, one of the sources said.

Uber did not comment on its leasing targets or the future of the scheme.

“People left well-paying jobs to drive an Uber,” said Sandeep, another Delhi driver, adding his monthly ride income has nearly halved to Rs. 60,000 in two years, despite working longer hours.

“We were tempted at the thought of becoming millionaires.”

Twitter Says It’s Exploring Building a Premium Version of Tweetdeck Aimed at Professionals

Twitter Inc is considering whether to build a premium version of its popular Tweetdeck interface aimed at professionals, the company said on Thursday, raising the possibility that it could collect subscription fees from some users for the first time.

Like most other social media companies, Twitter since its founding 11 years ago has focused on building a huge user base for a free service supported by advertising. Last month it reported it had 319 million users worldwide.

Twitter Says It's Exploring Building a Premium Version of Tweetdeck Aimed at Professionals

But unlike the much-larger Facebook, Twitter has failed to attract enough in advertising revenue to turn a profit even as its popularity with US President Donald Trump and other celebrities makes the network a constant centre of attention.

Subscription fees could come from a version of Tweetdeck, an existing interface that helps users navigate Twitter.

Twitter is conducting a survey “to assess the interest in a new, more enhanced version of Tweetdeck,” spokeswoman Brielle Villablanca said in a statement on Thursday.

She went on: “We regularly conduct user research to gather feedback about people’s Twitter experience and to better inform our product investment decisions, and we’re exploring several ways to make Tweetdeck even more valuable for professionals.”

There was no indication that Twitter was considering charging fees from all its users.

Word of the survey had earlier leaked on Twitter, where a journalist affiliated with the New York Times posted screenshots of what a premium version of Tweetdeck could look like.

That version could include “more powerful tools to help marketers, journalists, professionals, and others in our community find out what is happening in the world quicker,” according to one of the screenshots posted on the account @andrewtavani.

View image on TwitterView image on Twitter

Other social media firms, such as Microsoft Corp’s LinkedIn unit, already have tiered memberships, with subscription versions that offer greater access and data.

In the fourth quarter of 2016, Twitter posted the slowest revenue growth since it went public four years earlier, and revenue from advertising fell year-over-year. The company also said that advertising revenue growth would continue to lag user growth during 2017.

Financial markets speculated about a sale of Twitter last year, but no concrete bids were forthcoming.

Advances in AI and ML are reshaping healthcare

The healthcare technology sector has given rise to some of the most innovative startups in the world, which are poised to help people live longer, better lives. The innovations have primarily been driven by the advent of software and mobility, allowing the health sector to digitize many of the pen and paper-based operations and processes that currently slow down service delivery.

More recently, we’re seeing software become far more intelligent and independent. These new capabilities — studied under the banner of artificial intelligence and machine learning — are accelerating the pace of innovation in healthcare. Thus far, the applications of AI and ML in healthcare have enabled the industry to take on some of its biggest challenges in these areas:

  • Personal genetics
  • Drug discovery
  • Disease identification and management

Upon close evaluation of the opportunities that exist within each area, it becomes obvious that the stakes are high. As such, those that are first to market with a sustainable product differentiation and value-add will benefit tremendously.

Ushering in a new era of personal genetics

The most significant application of AI and ML in genetics is understanding how DNA impacts life. Although the last several years saw the complete sequencing of the human genome and a mastery of the ability to read and edit it, we still don’t know what most of the genome is actually telling us. Genes are constantly acting out of place in combination with other variables such as food, environment and body types.

If we are to understand what influences life and biology, we must first understand the language that is DNA. This is where ML algorithms come in and the advent of systems such as Google’s Deep Mind and IBM’s Watson. Now, more than ever, it has become possible to digest immense amounts of data (e.g. patient records, clinical notes, diagnostic images, treatment plans) and perform pattern recognition in a short period of time — which otherwise would have taken a lifetime to complete.

Businesses such as Deep Genomics are making meaningful progress in this realm. The company is developing the capability to interpret DNA by creating a system that predicts the molecular effects of genetic variation. Their database is able to explain how hundreds of millions of genetic variations can impact a genetic code.

Once a better understanding of human DNA is established, there is an opportunity to go one step further and provide personalized insights to individuals based on their idiosyncratic biological dispositions. This trend is indicative of a new era of “personalized genetics,” whereby individuals are able to take full control of their health through access to unprecedented information about their own bodies.

The technology must have access to vast amounts of data in order to better curate lifestyle changes for individuals.

Consumer genetics companies such as 23andMe and Rthm represent a few of the first movers in this domain. They have developed consumerized genetic diagnostic tools to help individuals understand their genetic makeup. With Rthm, users are able to go one step further and leverage the insights produced from their genetic test to implement changes to their everyday routine through a mobile application, all in real time.

As is the case with any application of AI/ML, the technology must have access to vast amounts of data in order to better curate lifestyle changes for individuals. Startups that are focused on mastering the delivery of personal genetics are doing so by considering the following key activities, as highlighted by Japan-based researcher Takashi Kido:

  • Acquiring reliable personal genome data and genetic risk prediction
  • Conducting behavior pattern analyses on people’s attitude to the personal genome to determine what kind of information is valuable/helpful and what type of information is damaging
  • Data mining for scientific discovery

The second point is interesting in that not all genetic information about a patient’s biological predispositions is productive. Being able to control the information in a manner that is conducive to psychological well-being is critical.

Hyper targeted drugs are the future

Another exciting application of AI/ML in healthcare is the reduction of both cost and time in drug discovery. New drugs typically take 12 to 14 years to make it to market, with the average cost hovering around $2.6 billion. During the process of drug discovery, chemical compounds are tested against every possible combination of different cell type, genetic mutation and other conditions relating to a particular ailment.

As the task of doing this is time-consuming, this limits the number of experiments or diseases that scientists can look to attack. ML algorithms can allow computers to “learn” how to make predictions based on the data they have previously processed or choose (and in some cases, even conduct) what experiments need to be done. Similar types of algorithms also can be used to predict the side effects of specific chemical compounds on humans, speeding up approvals.

San Francisco-based startup Atomwise is looking to replace test tubes with supercomputers during the drug development process. The company uses ML and 3D neural networks that sift through a database of molecular structures to uncover therapies, helping to discover the effectiveness of new chemical compounds on diseases and identifying what existing medications can be repurposed to cure another ailment.

In 2015, the company applied its solution and uncovered two new drugs which may significantly reduce Ebola infectivity. The analysis was completed in one day — as opposed to years, which is common using traditional methods of drug development. A recent study by Insilico Medicine solidified the approach Atomwise is taking, showing that deep neural networks can be used to predict pharmacologic properties of drugs and drug repurposing.

The application of AI/ML in healthcare is reshaping the industry and making what was once impossible into a tangible reality.

Berg Health, a Boston-based biopharma company, attacks drug discovery from a different angle. Berg mines patient biological data using AI to determine why some people survive diseases, and then applies this insight to improve current therapies or create new ones.

BenevolentAI, a London-based startup, aims to expedite the drug discovery process by harnessing AI to look for patterns in scientific literature. Only a small portion of globally generated scientific information is actually used or usable by scientists, as new healthcare-related studies are published every 30 seconds. BenevolentAI enables analysis on vast amounts of data to provide experts with insights they need to dramatically expedite drug discovery and research. Recently, the company identified two potential chemical compounds that may work on Alzheimer’s, attracting the attention of pharmaceutical companies.

As advances in ML and AI continue, the future of drug discovery looks promising. A recent Google Research paper notes that using data from various sources can better determine which chemical compounds will serve as “effective drug treatments for a variety of diseases,” and how ML can save a lot of time by testing millions of compounds at scale.

Discovering and managing new diseases

Most diseases are far more than just a simple gene mutation. Despite the healthcare system generating copious amounts of (unstructured) data — which is progressively improving in quality — we have previously not had the necessary hardware and software in place to analyze it and produce meaningful insights.

Disease diagnosis is a complicated process that involves a variety of factors, from the texture of a patient’s skin to the amount of sugar that he or she consumes in a day. For the past 2,000 years, medicine has been governed by symptomatic detection, where a patient’s ailment is diagnosed based on the symptoms they are displaying (e.g. if you have a fever and stuffy nose, you most likely have the flu).

But often the arrival of detectable symptoms is too late, especially when dealing with diseases such as cancer and Alzheimer’s. With ML, the hope is that faint signatures of diseases can be discovered well in advance of detectable symptoms, increasing the probability of survival (sometimes by up to 90 percent) and/or treatment options.

The opportunities continue to grow and inspire healthcare practitioners to find new ways to enhance our health and well-being.

Freenome, a San Francisco-based startup, has created an Adaptive Genomics Engine that helps dynamically detect disease signatures in your blood. To make this possible, the company uses your freenome — the dynamic collection of genetic material floating in your blood that is constantly changing over time and provides a genomic thermometer of who you are as you grow, live and age.

When looking at disease diagnosis and treatment plans, companies such as Enlitic are focused on improving patient outcomes by coupling deep learning with medical data to distill actionable insights from billions of clinical cases. IBM’s Watson is working with Memorial Sloan Kettering in New York to digest reams of data on cancer patients and treatments used over decades to present and suggest treatment options to doctors in dealing with unique cancer cases.

In London, Google’s Deep Mind is mining through medical records of Moorfields Eye Hospital to analyze digital scans of the eye to help doctors better understand and diagnose eye disease. In parallel, Deep Mind also has a project running to help with radiation therapy mapping for patients suffering from neck and head cancer, freeing up hours of planning for oncologists to allow them to focus on more patient care-oriented tasks.

For AI/ML to become pervasive in healthcare, continued access to relevant data is essential to success. The more proprietary data a system can ingest, the “smarter” it will become. As a result, companies are going to great lengths to acquire data (which resides in an anonymized format). For example, IBM bought out healthcare analytics company Truven Health for $2.6 billion in February 2016 primarily to gain access to their repository of data and insights. In addition, they recently partnered with Medtronic to further Watson’s ability to make sense of diabetes through gaining access to real-time insulin data.

As the data becomes richer and the technology keeps advancing, the opportunities continue to grow and inspire healthcare practitioners to find new ways to enhance our health and well-being.