AI, Machine Learning, and Big Data open a vast horizon and many opportunities for the Healthcare Industry. When such tech giants as Google or IBM appear in the field of healthcare, we know it is something worth exploring. AI Researcher Frost & Sullivan said artificial intelligence systems will generate $6.7 billion in global revenue from healthcare by 2021, compared with $811 million in 2015. Talk about Big data? It is bigger than what we think. Adam Knight, a passionate tester said an interesting thing about Big Data definition in one of his interviews, “When I was researching the subject of Big Data one thing that became apparent to me was that Big Data is a popular phrase with no clear definition.”
When AI is combined with Machine Learning and Big data, it can do wonders. Doctors can provide better insights and analysis on a mass scale at a relatively low cost. Similarly, healthcare experts can also utilize big data and Machine learning techniques to create AI-based solutions. Currently, the industry is catching the pace to completely embrace AI and Machine Learning techniques but its almost there. According to a report by CB Insights, the healthcare industry got 15% of the AI deals in 2015 and the ratio of 10 healthcare startup deals is now 60 deals per year.
Few Emerging AI, Machine Learning and Big data based Healthcare Startups
Where Startups like Pathway Genomics and Babylon Health are raising round E and A series investments respectively, many established healthcare companies are also extracting business value from big data of multiple origins. AI deals in the industry have already reached some new heights in 2011-2015 with a turnover of more than $400 million.
Sustainabody, a healthcare startup, is bringing AI and Machine Learning techniques into a useful action. It tracks everything about your food – most importantly, vitamins and minerals. When you enter food into the app throughout the day, you’ll see suggested foods based on potential deficiencies in your diet. As you log your breakfast, lunch, and dinner – or any other food you’re eating – you’ll see changing dietary suggestions that will help you meet your health goals. The startup is aiming to take wellness tracking to a whole new level with AI, and machine learning. The system learns users’ food preferences, restrictions, habits, and lifestyles based on food input and other user behaviors.
In an interview with Wired, Dr. Niven R Narain, who is the co-founder of BERG, said that: “You need to use AI to find how normal cellular processes break down, how that leads to disease and what the potential treatments are. Most people say: ‘This is not how drugs are developed.’ My answer to that is: ‘Exactly, but this is the way drugs should be developed.” Berg is a healthcare startup responsible for the recent disruption in the AI industry. They have created BPM31510, a drug that restores a cancerous cell into a healthy cell again. The making of BPM31510 had AI involved in it. How? They fed large volumes of cell data into the system helping the ML to distinguish between the healthy and cancerous cells. With the help of this data, the system came up with ways to restore the cells again.
Relevant to the industry, Ginger.io is another startup making waves in the AI research arena. They call themselves “Developer of Big Data”. It began in 2011 as a free tool that patients could set up to monitor symptoms and send alerts to their doctors if they are showing signs of crisis. It collects data through smartphones and passes it to the researchers and health professionals. Their care team consists of coaches, therapists, and psychiatrists, who provide you with a full spectrum of care. Centerstone Research Institute reported that using the app dropped emergency room visits by 20% and hospital admissions by 51%.
Lumiata, a health data Science Company is another startup that is developing intelligent data analytics tool. It has an ability to get accurate insights and make predictions by analyzing the symptoms is any given disease. Lumiata combines the analytical power of big data and data science with the help of physicians and medical science. It delivers actionable analytics to their care team to continuously know what to do, for whom, when and why. This startup claims that health can be unpredictable and they are using AI to change that. Without any doubt, AI working with ML and Big Data is making a huge difference out there.
More and More Researches…
Attention Mechanisms in Deep Learning is a new study and scientists are discovering the true cognitive image recognition. Beth Israel Deaconess Medical Center (BIDMC) and Harvard Medical School (HMS) are developing AI methods that provide assistance in recognizing pathological images. The old technique of peering into the microscope and searching through an ocean of cells is not useful anymore. A competition held at International Symposium of Biomedical Imaging (ISBI) became the cause of a firm handshake between the Beth Israel Deaconess Medical Center (BIDMC) and ISBI. After going through the routine procedures, they started with the researche and made rapid progress in them. As a result, they are making an intelligent system that is capable of diagnosing breast cancer with artificial neural networks.
The AI rage we witnessed in 2016 will continue to grow in 2017 as well. These useful researches in the healthcare industry are enabling the doctors to diagnose more accurately. It looks like if we pace up a little more, we’ll finally be able to cure cancer with AI.
This post is part of our contributor series. It is written and published independently of TNW.