GET DAILY SIGNALSHow Artificial Intelligence Could Help Humans Live Longer
MIT is one of the world’s premier research universities, responsible for all manner of innovative and exciting developments since their founding in 1861. Now MIT researchers have developed a machine-learning algorithm that registers 3D images (like brain scans) 1000-plus times more quickly than traditional methods.
Traditionally, 3D images are created via a technique called medical image registration. This process overlays two images, like MRIs, to compare and contrast anatomical information in great detail – an especially useful tool for doctors to gauge progress with a patient or treatment.
MRI (magnetic resonance imaging) scans consist of hundreds of 2D images, all stacked on top of each other to form 3D images. These images, called “volumes”, contain millions of pixels, or “voxels”. Aligning voxels from multiple volumes is a complex process, made more so by variables like spatial orientations and machine types. Adrian Dalca, a postdoc at Massachusetts General Hospital and CSAIL and co-author of the paper, describes it as “wiggling” the images until the images fit each other. “Mathematically, this optimization procedure takes a long time,” said Dalca – potentially hundreds of hours, if analyzing scans from large populations of data.
This delay is because the algorithms involved never learn from the information they analyze, instead of dismissing all data regarding voxel location after each pair of images. The new algorithm, VoxelMorph, corrects this flaw, registering information from thousands of pairs of images – “Information you should be able to carry over,” explained Guha Balakrishnan, an MIT grad student, and paper co-author – to learn how to align images and estimate optimal alignment parameters. Once the algorithm “learns”, it maps all pixels from one image to another at once, vastly reducing registration times to a couple of minutes via a standard computer.
VoxelMorph uses a common machine-learning approach called a CNN or convolutional neural network. The CNN network is augmented by a spatial transformer, which captures similarities in voxels between MRI scans. It learns from groups of voxels, which it then uses to develop optimized parameters that can be used on any scan pair. All information is gathered in the training phase, with future registrations executed using a single, easily-computed function evaluation.
Another benefit to VoxelMorph is the data is “unsupervised” – it does not require additional information beyond image data to make an accurate reading. Each registration is “smooth”, or without any image distortion or holes, and can be calculated within roughly two minutes via a traditional CPU, or under a second with a graphics processing unit.
Enhanced speed opens a variety of potential application – scanning other parts of the body, for example, or using image registration in close to real-time. The result is a better experience for patients and a powerful tool in doctors’ pockets, all thanks to machine learning.
If You’re Wondering When A.I. Will Start Making Market Predictions…
Guess what – it already is. Hedge funds and large institutional investors have been using Artificial Intelligence to analyze large data sets for investment opportunities, and they have also unleashed A.I. on charts to discover patterns and trends. Not only can the A.I. scan thousands of individual securities and cryptocurrencies for patterns and trends, and it generate trade ideas based on what it finds. Hedge funds have had a leg-up on the retail investor for some time now.
Not anymore. Tickeron has launched a new investment platform, and it is designed to give retail investors access to sophisticated AI for a multitude of functions:
- Finding stock patterns in the market
- Finding trends in the stock market
- Testing portfolios to see if they are well-diversified
- Back-testing statistics to see how different stock patterns generated trading results
- Making Predictions for price movements in the future, with “A.I. Rank” and level of confidence in the trade.
And much more. No longer is AI just confined to the biggest hedge funds in the world. It can now be accessed by everyday investors. Start a free trial today on tickeron.com.
Contributor
Sergey Savastiouk, Ph.D. has a degree in Applied Mathematics from Moscow University and has extensive experience as an entrepreneur, investor, manager, and mathematician. His professional expertise is in applied mathematics, mathematical modeling, system and pattern analysis, and software and hardware system integration. He has served as the CEO of several hi-tech start-up companies and nonprofit organizations, which has given him proven capabilities in business strategy for high-tech start-up companies, market assessment, company formation, team building, product development, marketing, and sales. He has published numerous articles in journals and magazines on related fields. As a retail investor, he spent 15 years developing his proprietary trading and quantitative algorithms (now Tickeron’s A.I.), which brought him significant returns in trading the stock market. His current work and goal in founding Tickeron is to bring professional, sophisticated stock market analysis capabilities to retail investors via an easy-to-use interface.
ELV in upward trend: price rose above 50-day moving average on October 06, 2026
ELV moved above its 50-day moving average on October 06, 2026 date and that indicates a change from a downward trend to an upward trend. In 36 of 55 similar past instances, the stock price increased further within the following month. The odds of a continued upward trend are 65%.
Technical Analysis (Indicators)
Bullish Trend Analysis
The Stochastic Oscillator demonstrated that the ticker has stayed in the oversold zone for 2 days, which means it's wise to expect a price bounce in the near future.
The 10-day moving average for ELV crossed bullishly above the 50-day moving average on October 13, 2026. This indicates that the trend has shifted higher and could be considered a buy signal. In 9 of 15 past instances when the 10-day crossed above the 50-day, the stock continued to move higher over the following month. The odds of a continued upward trend are 60%.
Following a +2.78% 3-day Advance, the price is estimated to grow further. Considering data from situations where ELV advanced for three days, in 182 of 321 cases, the price rose further within the following month. The odds of a continued upward trend are 57%.
The Aroon Indicator entered an Uptrend today. In 124 of 251 cases where ELV Aroon's Indicator entered an Uptrend, the price rose further within the following month. The odds of a continued Uptrend are 49%.
Bearish Trend Analysis
The 10-day RSI Indicator for ELV moved out of overbought territory on October 23, 2026. This could be a bearish sign for the stock. Traders may want to consider selling the stock or buying put options. Tickeron's A.I.dvisor looked at 28 similar instances where the indicator moved out of overbought territory. In 21 of the 28 cases, the stock moved lower in the following days. This puts the odds of a move lower at 75%.
The Momentum Indicator moved below the 0 level on October 27, 2026. You may want to consider selling the stock, shorting the stock, or exploring put options on ELV as a result. In 63 of 99 cases where the Momentum Indicator fell below 0, the stock fell further within the subsequent month. The odds of a continued downward trend are 64%.
The Moving Average Convergence Divergence Histogram (MACD) for ELV turned negative on October 28, 2026. This could be a sign that the stock is set to turn lower in the coming weeks. Traders may want to sell the stock or buy put options. Tickeron's A.I.dvisor looked at 51 similar instances when the indicator turned negative. In 32 of the 51 cases the stock turned lower in the days that followed. This puts the odds of success at 63%.
Following a 3-day decline, the stock is projected to fall further. Considering past instances where ELV declined for three days, the price rose further in 50 of 62 cases within the following month. The odds of a continued downward trend are 58%.
ELV broke above its upper Bollinger Band on October 09, 2026. This could be a sign that the stock is set to drop as the stock moves back below the upper band and toward the middle band. You may want to consider selling the stock or exploring put options.
Fundamental Analysis (Ratings)
The Tickeron PE Growth Rating for this company is 13 (best 1 - 100 worst), pointing to outstanding earnings growth. The PE Growth rating is based on a comparative analysis of stock PE ratio increase over the last 12 months compared against S&P 500 index constituents.
The Tickeron Price Growth Rating for this company is 26 (best 1 - 100 worst), indicating outstanding price growth. ELV’s price grows at a higher rate over the last 12 months as compared to S&P 500 index constituents.
The Tickeron Seasonality Score of 50 (best 1 - 100 worst) indicates that the company is fair valued in the industry. The Tickeron Seasonality score describes the variance of predictable price changes around the same period every calendar year. These changes can be tied to a specific month, quarter, holiday or vacation period, as well as a meteorological or growing season.
The Tickeron Valuation Rating of 58 (best 1 - 100 worst) indicates that the company is fair valued in the industry. This rating compares market capitalization estimated by our proprietary formula with the current market capitalization. This rating is based on the following metrics, as compared to industry averages: P/B Ratio (2.030) is normal, around the industry mean (3.380). P/E Ratio (18.530) is within average values for comparable stocks, (124.266). ELV's Projected Growth (PEG Ratio) (1.291) is slightly higher than the industry average of (0.786). Dividend Yield (0.016) settles around the average of (0.009) among similar stocks. P/S Ratio (0.453) is also within normal values, averaging (0.569).
The Tickeron Profit vs. Risk Rating rating for this company is 80 (best 1 - 100 worst), indicating that the returns do not compensate for the risks. ELV’s unstable profits reported over time resulted in significant Drawdowns within these last five years. A stable profit reduces stock drawdown and volatility. The average Profit vs. Risk Rating rating for the industry is 83, placing this stock better than average.
The Tickeron SMR rating for this company is 99 (best 1 - 100 worst), indicating weak sales and an unprofitable business model. SMR (Sales, Margin, Return on Equity) rating is based on comparative analysis of weighted Sales, Income Margin and Return on Equity values compared against S&P 500 index constituents. The weighted SMR value is a proprietary formula developed by Tickeron and represents an overall profitability measure for a stock.
Notable companies
Industry description
Market Cap
High and low price notable news
Volume
Fundamental Analysis Ratings
The average fundamental analysis ratings, where 1 is best and 100 is worst, are as follows
Advertisement
General Information
a provider of life, hospital and medical insurance plans
Industry ManagedHealthCare
Advertisement