Go to the list of all blogs
Sergey Savastiouk's Avatar
published in Blogs
Feb 26, 2021

How 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:

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.

Related Ticker: ELV

Momentum Indicator for ELV turns negative, indicating new downward trend

ELV saw its Momentum Indicator move below the 0 level on July 17, 2024. This is an indication that the stock could be shifting in to a new downward move. Traders may want to consider selling the stock or exploring put options. Tickeron's A.I.dvisor looked at 88 similar instances where the indicator turned negative. In of the 88 cases, the stock moved further down in the following days. The odds of a decline are at .

Price Prediction Chart

Technical Analysis (Indicators)

Bearish Trend Analysis

The Moving Average Convergence Divergence Histogram (MACD) for ELV turned negative on July 17, 2024. 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 54 similar instances when the indicator turned negative. In of the 54 cases the stock turned lower in the days that followed. This puts the odds of success at .

ELV moved below its 50-day moving average on July 17, 2024 date and that indicates a change from an upward trend to a downward trend.

The 10-day moving average for ELV crossed bearishly below the 50-day moving average on July 10, 2024. This indicates that the trend has shifted lower and could be considered a sell signal. In of 17 past instances when the 10-day crossed below the 50-day, the stock continued to move higher over the following month. The odds of a continued downward trend are .

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 of 62 cases within the following month. The odds of a continued downward trend are .

ELV broke above its upper Bollinger Band on July 16, 2024. 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.

Bullish Trend Analysis

The Stochastic Oscillator suggests the stock price trend may be in a reversal from a downward trend to an upward trend. of 65 cases where ELV's Stochastic Oscillator exited the oversold zone resulted in an increase in price. Tickeron's analysis proposes that the odds of a continued upward trend are .

Following a 3-day Advance, the price is estimated to grow further. Considering data from situations where ELV advanced for three days, in of 312 cases, the price rose further within the following month. The odds of a continued upward trend are .

Fundamental Analysis (Ratings)

Fear & Greed

Tickeron has a negative outlook on this ticker and predicts a further decline by more than 4.00% within the next month with a likelihood of 70%.

The Tickeron Profit vs. Risk Rating rating for this company is (best 1 - 100 worst), indicating low risk on high returns. The average Profit vs. Risk Rating rating for the industry is 67, placing this stock better than average.

The Tickeron Valuation Rating of (best 1 - 100 worst) indicates that the company is slightly undervalued 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 (3.054) is normal, around the industry mean (3.063). P/E Ratio (20.460) is within average values for comparable stocks, (17.509). Projected Growth (PEG Ratio) (0.863) is also within normal values, averaging (1.089). Dividend Yield (0.012) settles around the average of (0.020) among similar stocks. P/S Ratio (0.715) is also within normal values, averaging (0.684).

The Tickeron PE Growth Rating for this company is (best 1 - 100 worst), pointing to consistent 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 (best 1 - 100 worst), indicating fairly steady price growth. ELV’s price grows at a lower rate over the last 12 months as compared to S&P 500 index constituents.

The Tickeron SMR rating for this company is (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

The most notable companies in this group are Unitedhealth Group (NYSE:UNH), Elevance Health (NYSE:ELV), Cigna Group (The) (NYSE:CI), CVS HEALTH Corp (NYSE:CVS), Humana (NYSE:HUM), Centene Corp (NYSE:CNC).

Industry description

Managed healthcare industry focuses on providing health/medical and disability insurance plans, generally intended to reduce the cost of for-profit health care. The insurance products might be provided through employer-paid (fully or partly) insurance and benefit programs, or through Medicare/Medicaid. Some of the largest providers of managed health care include Aetna, Humana Inc., and Cigna, and UnitedHealthcare.

Market Cap

The average market capitalization across the Managed Health Care Industry is 68.32B. The market cap for tickers in the group ranges from 3.42M to 451.47B. UNH holds the highest valuation in this group at 451.47B. The lowest valued company is HRAA at 3.42M.

High and low price notable news

The average weekly price growth across all stocks in the Managed Health Care Industry was 3%. For the same Industry, the average monthly price growth was 10%, and the average quarterly price growth was 10%. CLOV experienced the highest price growth at 28%, while OSCR experienced the biggest fall at -5%.

Volume

The average weekly volume growth across all stocks in the Managed Health Care Industry was 84%. For the same stocks of the Industry, the average monthly volume growth was 82% and the average quarterly volume growth was -9%

Fundamental Analysis Ratings

The average fundamental analysis ratings, where 1 is best and 100 is worst, are as follows

Valuation Rating: 41
P/E Growth Rating: 69
Price Growth Rating: 49
SMR Rating: 84
Profit Risk Rating: 67
Seasonality Score: -39 (-100 ... +100)
View a ticker or compare two or three
ELV
Daily Signal changed days ago
Gain/Loss if shorted
Show more...
Ad is loading...
A.I.Advisor
published price charts
A.I. Advisor
published General Information

General Information

a provider of life, hospital and medical insurance plans

Industry ManagedHealthCare

Profile
Fundamentals
Details
Industry
Managed Health Care
Address
220 Virginia Avenue
Phone
+1 833 401-1577
Employees
104900
Web
https://www.elevancehealth.com
Ad is loading...
Discover the dynamic world of cryptocurrency trading with Tickeron's AI analysis. Capitalize on bullish and bearish patterns in Origin Protocol (OGN.X), with gains up to 27.80%. Stay ahead with Tickeron's real-time insights and make informed trading decisions. #CryptoTrading #AIAnalysis #OriginProtocol #InvestSmart
#latest#popular#patterns#artificial_intelligence#trading#technical_analysis
Dive into the world of trading excellence with our Best AI Robot of the week! In a market characterized by growth, the key to maximizing profits lies not only in mainstream large-cap stocks but also in exploring opportunities across different market segments.
This article delves into the performance of AI trading robots, specifically those utilizing the "Swing trader: Long-Short Equity Strategy (TA&FA)." These bots showcased their prowess by delivering a notable +4.98% gain while engaging in MRNA trades over the previous week. Beyond mere statistics, we explore the technical indicators and recent earnings report of MRNA to shed light on the underlying dynamics influencing the stock.
Artificial intelligence (AI) trading bots have become powerful tools for investors seeking active trading opportunities. In a recent analysis conducted on the "Day Trader: High Volatility Stocks for Active Trading (TA&FA)" platform, AI trading bots exhibited impressive performance, generating a noteworthy +4.81% gain while actively trading Shopify (SHOP) over the course of the previous week.
In the dynamic world of finance, strategic asset acquisition is a game-changer. Recently, a group of stocks within this domain has been in the spotlight, showcasing notable performances and intriguing patterns. This article delves into the recent movements of these stocks, focusing on key indicators, market capitalization, notable price events, and volume dynamics.
The Tickeron quant team is delighted to introduce our best robot of the week tailored for Trend Traders. Our sophisticated AI Robot, has been designed for manual trading enthusiasts who value independent signal selection.
Tickeron's Quant team is delighted to introduce our latest AI-powered robot designed for trading small-cap stocks, employing a distinctive fundamental stock analysis algorithm. This algorithm, renowned for its blend of in-depth analysis and intuitive signal-following capabilities, is well-suited for both novice and seasoned traders.
The Tickeron quant team proudly presents our top-performing AI robot for swing traders. This robot stands out with its remarkable accuracy, empowering traders to capitalize on diverse market conditions and transaction types. Demonstrating its proficiency, it achieved profitability in short trades during last week's strong uptrend in the US stock markets.
One such example is the "Trend Trader: Popular Stocks (TA&FA)" platform, where AI trading robots demonstrated their prowess by generating a notable gain while actively trading Adobe Inc. (ADBE) over the previous week. In this article, we delve into a technical analysis of ADBE's recent performance, shedding light on key indicators and recent earnings results.
​​​​​​​The railroads sector, encompassing prominent players such as Canadian Pacific Railway (CP), CSX Corporation (CSX), Norfolk Southern Corporation (NSC), Canadian National Railway Company (CNI), and Union Pacific Corporation (UNP), has undergone a noteworthy surge in performance over the past week. However, a closer examination reveals a complex landscape marked by negative outlook signals and fluctuating market dynamics.
The Tickeron quant team is excited to introduce our premier AI robot, specifically optimized for Swing Traders. This tool represents the pinnacle of our technological advancements in trading algorithms. Excelling in the market, it has achieved an impressive feat, earning twice as much as the S&P 500 in just the past week.
In the whirlwind of the current mergers and acquisitions frenzy, investors are reaping substantial rewards as stocks within the merger industry theme surged by an impressive 20.9% on average over the past month.
The Tickeron quant team is delighted to introduce our top-performing AI robot tailored for beginners. Our AI Robot specializes in navigating the high-tech stocks within the NASDAQ 100 index, renowned for their liquidity and moderate volatility—making them an ideal choice for novice traders.
In the dynamic landscape of the US stock markets, where unpredictability has become the norm, finding a trading strategy that not only thrives in periods of growth but also shields against sharp corrections is paramount.
The Tickeron quant team proudly introduces our premier AI Robot, tailor-made for trend traders who prefer manual trading and selecting their own signals. This AI Robot stands out with its impressive track record of consistent trading predictions, empowering traders to align their decisions with personal preferences.
Tickeron is excited to highlight the exceptional performance of our top AI robot this week, given the recent downturn in major US stock indices. While the SP500, NASDAQ 100, and Dow Jones Industrial all experienced declines, our AI robot, thanks to its well-calibrated diversification across various industries, demonstrated remarkable resilience.
As the trading week came to a close on Friday, there were notable movements across various asset classes:
Tickeron's quant team diligently monitors developed trading algorithms daily to determine the most effective ones. Today, we are delighted to present three of the best robots tailored for swing traders, showcasing consistently positive results over several months, irrespective of market conditions. This week, they underscored their efficacy by yielding impressive gains across various stocks, even as major US stock indexes dipped.
Tickeron is excited to highlight the exceptional performance of our top AI robot this week. The US stock market has experienced a consistent upward trend for the past five months, heightening the anticipation of a forthcoming correction with each passing day.
Introducing our top-performing best AI Robot of the week, designed by Tickeron's expert quant team for trading small-cap stocks. This algorithm blends classical and proprietary technical indicators, honed through advanced machine learning, to empower users with effective portfolio diversification and maximum profitability in the dynamic market.