GET https://rct.dev.bbntimes.com/science/5-applications-of-machine-learning-in-healthcare

ArticleController :: show

Request

GET Parameters

None

POST Parameters

None

Uploaded Files

None

Request Attributes

Key Value
_controller
"App\Controller\ArticleController::show"
_firewall_context
"security.firewall.map.context.main"
_links
Symfony\Component\WebLink\GenericLinkProvider {#3589
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    3702 => Symfony\Component\WebLink\Link {#3702
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    3701 => Symfony\Component\WebLink\Link {#3701
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      ]
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      ]
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    3699 => Symfony\Component\WebLink\Link {#3699
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    3698 => Symfony\Component\WebLink\Link {#3698
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    3697 => Symfony\Component\WebLink\Link {#3697
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_security_firewall_run
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_stopwatch_token
"8115ef"
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"science"
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"5-applications-of-machine-learning-in-healthcare"

Request Headers

Header Value
accept
"*/*"
accept-encoding
"gzip, br, zstd, deflate"
connection
"close"
cookie
"laikanxia_google_v=1; laikanxia_cookie_id=250222163828905; PHPSESSID=2lptni7thnuaq6sp5fc16ri7rq"
host
"rct.dev.bbntimes.com"
user-agent
"Mozilla/5.0 AppleWebKit/537.36 (KHTML, like Gecko; compatible; ClaudeBot/1.0; +claudebot@anthropic.com)"
x-php-ob-level
"1"

Request Content

Request content not available (it was retrieved as a resource).

Response

Response Headers

Header Value
cache-control
"no-cache, private"
content-type
"text/html; charset=UTF-8"
date
"Sat, 22 Feb 2025 08:38:35 GMT"
link
"</build/runtime.js>; rel="preload"; as="script",</build/644.js>; rel="preload"; as="script",</build/502.js>; rel="preload"; as="script",</build/app.js>; rel="preload"; as="script",</build/view-more.js>; rel="preload"; as="script",</build/term-condition.js>; rel="preload"; as="script",</build/contact.js>; rel="preload"; as="script",</build/scroll-infinite-article.js>; rel="preload"; as="script",</build/app.css>; rel="preload"; as="style",</build/cookie-style.css>; rel="preload"; as="style",</build/term-condition-css.css>; rel="preload"; as="style",</build/contact-css.css>; rel="preload"; as="style",</build/comment-css.css>; rel="preload"; as="style""
x-debug-token
"9dd44d"

Cookies

Request Cookies

Key Value
PHPSESSID
"2lptni7thnuaq6sp5fc16ri7rq"
laikanxia_cookie_id
"250222163828905"
laikanxia_google_v
"1"

Response Cookies

No response cookies

Session 6

Session Metadata

Key Value
Created
"Sat, 22 Feb 25 08:38:11 +0000"
Last used
"Sat, 22 Feb 25 08:38:34 +0000"
Lifetime
0

Session Attributes

Attribute Value
_csrf/https-comment
"-_K7StTlvIluBbDvxkwpKi2pMGdxWlha25gd6g29Dlo"
_csrf/https-cookie_accept
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Session Usage

6 Usages
Stateless check enabled
Usage
Symfony\Component\Security\Csrf\TokenStorage\SessionTokenStorage:76
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Symfony\Component\Security\Csrf\TokenStorage\SessionTokenStorage:79
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    "line" => 29
    "function" => "run"
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]
Symfony\Component\Security\Core\Authentication\Token\Storage\UsageTrackingTokenStorage:41
[
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    "line" => 41
    "function" => "getMetadataBag"
    "class" => "Symfony\Component\HttpFoundation\Session\Session"
    "type" => "->"
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    "function" => "getToken"
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]
Symfony\Component\Security\Http\Firewall\ContextListener:171
[
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    "line" => 171
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  [
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    "function" => "onKernelResponse"
    "class" => "Symfony\Component\Security\Http\Firewall\ContextListener"
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    "function" => "__invoke"
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]

Flashes

Flashes

No flash messages were created.

Server Parameters

Server Parameters

Defined in .env

Key Value
APP_ENV
"dev"
APP_SECRET
"0a988e63f011514eaabfc650b599af4d"
CORS_ALLOW_ORIGIN
"*"
DATABASE_URL
"mysql://bbndb_rctuser:33F5W25z40or0f7@localhost:3306/rct_bbntimes"
GOOGLE_RECAPTCHA_SECRET_KEY
"6LdV5fgpAAAAANxzTG8ZMfIjil1wu-1vrQvnUt-x"
GOOGLE_RECAPTCHA_SITE_KEY
"6LdV5fgpAAAAAENKcn73MJAhQrbtQeqgyC4wDLMP"
MAILER_DSN
"smtp://no-reply%40rct.dev.bbntimes.com:Bl6%26gLD48%26Of919@rct.dev.bbntimes.com:465"
MARIADB_PASSWORD
"i!87pK&!85ezc8"

Defined as regular env variables

Key Value
APP_DEBUG
"1"
BASE
"/public"
CONTEXT_DOCUMENT_ROOT
"/var/www/vhosts/dev.bbntimes.com/rct.dev.bbntimes.com"
CONTEXT_PREFIX
""
DOCUMENT_ROOT
"/var/www/vhosts/dev.bbntimes.com/rct.dev.bbntimes.com"
FCGI_ROLE
"RESPONDER"
GATEWAY_INTERFACE
"CGI/1.1"
HTTPS
"on"
HTTP_ACCEPT
"*/*"
HTTP_ACCEPT_ENCODING
"gzip, br, zstd, deflate"
HTTP_CONNECTION
"close"
HTTP_COOKIE
"laikanxia_google_v=1; laikanxia_cookie_id=250222163828905; PHPSESSID=2lptni7thnuaq6sp5fc16ri7rq"
HTTP_HOST
"rct.dev.bbntimes.com"
HTTP_USER_AGENT
"Mozilla/5.0 AppleWebKit/537.36 (KHTML, like Gecko; compatible; ClaudeBot/1.0; +claudebot@anthropic.com)"
PASSENGER_COMPILE_NATIVE_SUPPORT_BINARY
"0"
PASSENGER_DOWNLOAD_NATIVE_SUPPORT_BINARY
"0"
PATH
"/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/snap/bin"
PHP_SELF
"/public/index.php"
PP_CUSTOM_PHP_CGI_INDEX
"plesk-php81-fastcgi"
PP_CUSTOM_PHP_INI
"/var/www/vhosts/system/rct.dev.bbntimes.com/etc/php.ini"
QUERY_STRING
""
REDIRECT_BASE
"/public"
REDIRECT_HTTPS
"on"
REDIRECT_PASSENGER_COMPILE_NATIVE_SUPPORT_BINARY
"0"
REDIRECT_PASSENGER_DOWNLOAD_NATIVE_SUPPORT_BINARY
"0"
REDIRECT_REDIRECT_HTTPS
"on"
REDIRECT_REDIRECT_PASSENGER_COMPILE_NATIVE_SUPPORT_BINARY
"0"
REDIRECT_REDIRECT_PASSENGER_DOWNLOAD_NATIVE_SUPPORT_BINARY
"0"
REDIRECT_REDIRECT_SCRIPT_URI
"https://rct.dev.bbntimes.com/science/5-applications-of-machine-learning-in-healthcare"
REDIRECT_REDIRECT_SCRIPT_URL
"/science/5-applications-of-machine-learning-in-healthcare"
REDIRECT_REDIRECT_SSL_TLS_SNI
"rct.dev.bbntimes.com"
REDIRECT_REDIRECT_STATUS
"200"
REDIRECT_REDIRECT_UNIQUE_ID
"Z7mNC5DyWLT8YV1VjBo6AQAAAI4"
REDIRECT_SCRIPT_URI
"https://rct.dev.bbntimes.com/science/5-applications-of-machine-learning-in-healthcare"
REDIRECT_SCRIPT_URL
"/science/5-applications-of-machine-learning-in-healthcare"
REDIRECT_SSL_TLS_SNI
"rct.dev.bbntimes.com"
REDIRECT_STATUS
"200"
REDIRECT_UNIQUE_ID
"Z7mNC5DyWLT8YV1VjBo6AQAAAI4"
REDIRECT_URL
"/public/science/5-applications-of-machine-learning-in-healthcare"
REMOTE_ADDR
"13.59.89.140"
REMOTE_PORT
"6370"
REQUEST_METHOD
"GET"
REQUEST_SCHEME
"https"
REQUEST_TIME
1740213515
REQUEST_TIME_FLOAT
1740213515.2466
REQUEST_URI
"/science/5-applications-of-machine-learning-in-healthcare"
SCRIPT_FILENAME
"/var/www/vhosts/dev.bbntimes.com/rct.dev.bbntimes.com/public/index.php"
SCRIPT_NAME
"/public/index.php"
SCRIPT_URI
"https://rct.dev.bbntimes.com/science/5-applications-of-machine-learning-in-healthcare"
SCRIPT_URL
"/science/5-applications-of-machine-learning-in-healthcare"
SERVER_ADDR
"5.196.1.209"
SERVER_ADMIN
"[no address given]"
SERVER_NAME
"rct.dev.bbntimes.com"
SERVER_PORT
"443"
SERVER_PROTOCOL
"HTTP/1.1"
SERVER_SIGNATURE
"<address>Apache Server at rct.dev.bbntimes.com Port 443</address>\n"
SERVER_SOFTWARE
"Apache"
SSL_TLS_SNI
"rct.dev.bbntimes.com"
SYMFONY_DOTENV_VARS
"APP_ENV,APP_SECRET,DATABASE_URL,MARIADB_PASSWORD,CORS_ALLOW_ORIGIN,MAILER_DSN,GOOGLE_RECAPTCHA_SECRET_KEY,GOOGLE_RECAPTCHA_SITE_KEY"
UNIQUE_ID
"Z7mNC5DyWLT8YV1VjBo6AQAAAI4"

Sub Requests 6

CookieController :: renderAnalysis (token = 705a93)

Key Value
_controller
"App\Controller\CookieController::renderAnalysis"
_format
"html"
_locale
"en"
_stopwatch_token
"f1f8b5"

AppController :: renderHeader (token = ab4d3c)

Key Value
_controller
"App\Controller\AppController::renderHeader"
_format
"html"
_locale
"en"
_stopwatch_token
"1cc90b"
slug
"home"

ArticleController :: trendingArticle (token = 3a133d)

Key Value
_controller
"App\Controller\ArticleController::trendingArticle"
_format
"html"
_locale
"en"
_stopwatch_token
"effc8d"
category
"Science"

ArticleController :: relatedArticles (token = 914ae7)

Key Value
_controller
"App\Controller\ArticleController::relatedArticles"
_format
"html"
_locale
"en"
_stopwatch_token
"fcc408"
current_article
App\Entity\Article {#1094
  -id: 10542
  -title: "5 Applications of Machine Learning in Healthcare"
  -slug: "5-applications-of-machine-learning-in-healthcare"
  -introtext: "<p>The use of machine learning (ML) in healthcare can help medical professionals save millions of lives.&nbsp;</p>\r\n"
  -content: """
    \r\n
    <p>Being healthy and capable of doing basic tasks is one of the prime priorities for people across the globe. Human beings tend to go way beyond their limits when the health of a loved one is at risk. Even though the current healthcare systems are helpful, they have time and again proved that they too are prone to errors. With healthcare errors being the third leading<span style="background-color: inherit; color: inherit; font-family: inherit; font-size: 1rem;"> </span><a style="background-color: inherit; font-family: inherit; font-size: 1rem;" href="https://www.cnbc.com/2018/02/22/medical-errors-third-leading-cause-of-death-in-america.html" target="_blank" rel="noopener">cause of deaths in the US</a><span style="background-color: inherit; color: inherit; font-family: inherit; font-size: 1rem;">&nbsp;in 2018, the need for a makeover in the current healthcare system exists, and technology stands up to the requirement. Machine learning being a technology that can help human beings by learning from them, smart machines operate on the algorithms provided to them. In today’s age where there is a plethora of information and&nbsp;</span><a style="background-color: inherit; font-family: inherit; font-size: 1rem;" href="technology/big-data-in-healthcare" target="_blank" rel="noopener">big data in healthcare</a><span style="background-color: inherit; color: inherit; font-family: inherit; font-size: 1rem;">&nbsp;strives to improve the current healthcare systems, machine learning can surely make a mark in its initiative to improve human health. Here are five exciting applications of machine learning in healthcare.</span></p>\r\n
    <p class="text-muted"><img src="/images/ML_in_Healthcare_Use_Cases.png" alt="ML_in_Healthcare_Use_Cases.png" width="935" height="923" /></p>\r\n
    <h2><strong>1. Imaging and Diagnosis</strong></h2>\r\n
    <p><img src="/images/ML_in_Medical_Imaging.gif" alt="ML_in_Medical_Imaging.gif" width="900" height="549" /></p>\r\n
    <p><a href="https://pubs.rsna.org/doi/full/10.1148/rg.2017160130" target="_blank" rel="noopener"><em>Source: Radiological Society of North America</em></a><br /><br /></p>\r\n
    <p>With machine learning advancing at an astounding speed, machine learning is an active application in diagnosis of human diseases. As machine learning operates on algorithms, healthcare specialists are aiming to leverage this technology in their field by actively developing algorithms and providing information to machines that can help them in imaging and analysing human bodies for abnormalities. By using smart machines on a human body, the machines can quickly scan through the body and can click images to detect diseases early on.</p>\r\n
    <h2><strong>2. Data Collection and Follow-Ups</strong></h2>\r\n
    <p><img src="/images/Machine_Learning_Data_Collection.png" alt="Machine_Learning_Data_Collection.png" width="902" height="708" /></p>\r\n
    <p><em><a href="https://towardsdatascience.com/how-to-build-a-data-set-for-your-machine-learning-project-5b3b871881ac" target="_blank" rel="noopener">Source: Towards Data Science<br /><br /></a></em></p>\r\n
    <p>Personalization is what humans like when they go anywhere. As&nbsp;<a href="https://searchdatamanagement.techtarget.com/definition/big-data" target="_blank" rel="noopener">big data has several applications</a> and gathers information from every possible source, leveraging the same to improve human life can be helpful for doctors to provide people with enhanced services. When ML can accommodate sufficient information about a user, doctors can personalise the treatment options. This personalization of services is possible with the help of machines providing insights about risks of a particular patient being susceptible to a specific disease. With accurate information and actionable insights, machines can also suggest to users and doctors about remedies and precautionary measures depending on a patient’s response to medications.</p>\r\n
    <h2><strong>3. Radiology and Radiotherapy</strong></h2>\r\n
    <p><img src="/images/ML_in_Radiotherapy.jpeg" alt="ML_in_Radiotherapy.jpeg" width="901" height="614" /></p>\r\n
    <p><em><a href="https://www.frontiersin.org/articles/10.3389/fonc.2018.00266/full" target="_blank" rel="noopener">Source: Frontiers<br /><br /></a></em></p>\r\n
    <p>Machine learning has proved its worth and capabilities to detect cancer in the past and is one of the most viable options for leading healthcare pioneers to identify any abnormalities. With such performance, ML is proving to be another strong option for radiology and radiotherapy. Doctors can use this technology to scan through the possibilities of a patient’s response to a specific input of radiation through their body. ML can also help doctors and surgeons in deciding what and how intense a radiation would be required depending on how well the patient responds to specific amounts of emissions.</p>\r\n
    <h2><strong>4. Drug Discovery and Experiments</strong></h2>\r\n
    <p><img src="/images/ML_in_Drug_Discovery_and_Optimization.png" alt="ML_in_Drug_Discovery_and_Optimization.png" width="900" height="695" /></p>\r\n
    <p><a href="https://www.nature.com/articles/s41563-019-0338-z" target="_blank" rel="noopener"><em>Source: Nature Magazine</em><br /><br /></a></p>\r\n
    <p>Scientists strive to find ways of how they can discover newer ways to cure certain deadly diseases. With rigorous attempts at improving healthcare, they search for different drugs that can behave as advanced medicines and perform experiments that are focused solely on how these medications can help. Machine learning algorithms help scientists by providing them information about how to improve drug performance and behaviour of the same on a test subject. The behavioural details that are noted from a test subject and a dummy drug can be noted and ML algorithms can be used to determine how those medications perform on a human being.</p>\r\n
    <h2><strong>5. Surgeries</strong></h2>\r\n
    <p><img src="/images/Robotic_Surgery_ML.png" alt="Robotic_Surgery_ML.png" width="900" height="638" /></p>\r\n
    <p><em><a href="https://medium.com/ai-techsystems/robotic-surgery-and-machine-learning-7f87824228ea" target="_blank" rel="noopener">Source: Medium<br /><br /></a></em></p>\r\n
    <p>Current technological innovations continuously strive to improve the healthcare situation for patients and doctors. When machines focus on improving the performance of operations, they can help doctors by using surgical robots. These surgical robots prove to be of great help to doctors as they provide doctors with high definition imagery and extended flexibility to reach out in areas that are crucial for a doctor. Machine learning has several other applications in numerous fields that try to improve human life. As healthcare pioneers are working to improve the current scenario of their industry consistently, they can now search for ways in which their organization can leverage this technology and how they can benefit from the same.</p>
    """
  -user: Proxies\__CG__\App\Entity\User {#1092 …}
  -createdAt: DateTime @1692216125 {#1145
    date: 2023-08-16 20:02:05.0 UTC (+00:00)
  }
  -updatedAt: DateTime @1692216230 {#1150
    date: 2023-08-16 20:03:50.0 UTC (+00:00)
  }
  -deletedAt: null
  -category: App\Entity\Category {#445 …}
  -status: "published"
  -imageCard: Proxies\__CG__\App\Entity\File {#1184 …}
  -ImageHeader: Proxies\__CG__\App\Entity\File {#1184 …}
  -featured: false
  -mainView: false
  -clicks: 17647
  -comments: Doctrine\ORM\PersistentCollection {#1125 …}
  -reviewed_at: DateTime @1692216125 {#1148
    date: 2023-08-16 20:02:05.0 UTC (+00:00)
  }
  -metakey: "5 Applications of Machine Learning in Healthcare"
  -metadesc: "The use of machine learning (ML) in healthcare can help medical professionals save millions of lives.\u{A0}"
  -robots: null
  -publishedAt: DateTime @1692216125 {#1147
    date: 2023-08-16 20:02:05.0 UTC (+00:00)
  }
  -canonical: null
  -superTag: null
}

AppController :: renderFooter (token = e7abf1)

Key Value
_controller
"App\Controller\AppController::renderFooter"
_format
"html"
_locale
"en"
_stopwatch_token
"3e905a"

CookieController :: renderCookie (token = 055f60)

Key Value
_controller
"App\Controller\CookieController::renderCookie"
_format
"html"
_locale
"en"
_stopwatch_token
"53d7b4"