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Perform medical transcription analysis in real-time with AWS AI services and Twilio Media Streams

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Medical providers often need to analyze and dictate patient phone conversations, doctors’ notes, clinical trial reports, and patient health records. By automating transcription, providers can quickly and accurately provide patients with medical conditions, medication, dosage, strength, and frequency.

Generic artificial intelligence-based transcription models can be used to transcribe voice to text. However, medical voice data often uses complex medical terms and abbreviations. Transcribing such data needs medical/healthcare-specific machine learning (ML) models. To address this issue, AWS launched Amazon Transcribe Medical, an automatic speech recognition (ASR) service that makes it easy for you to add medical speech-to-text capabilities to your voice-enabled applications.

Additionally, Amazon Comprehend Medical is a HIPAA-eligible service that helps providers extract information from unstructured medical text accurately and quickly. To transcribe voice in real time, providers need access to raw audio from the call while in-progress. Twilio, an AWS partner, offers real-time telephone voice integration.

In this post, we show you how to integrate Twilio Media Streams with Amazon Transcribe Medical and Amazon Comprehend Medical to transcribe and analyze data from phone calls. For non-healthcare industries, you can use this same solution with Amazon Transcribe and Amazon Comprehend.

Twilio Media Streams works in the context of a traditional Twilio voice application, like an Interactive Voice Response (IVR), that serves customers directly, as well as a contact center, like Twilio Flex, where agents are serving consumers. You have discrete control over your voice data within your contact center to build the experience your customers prefer.

Amazon Transcribe Medical is an ML service that makes it easy to quickly create accurate transcriptions between patients and physicians. Amazon Comprehend Medical is a natural language processing (NLP) service that makes it easy to use ML to extract relevant medical information from unstructured text. You can quickly and accurately gather information (such as medical condition, medication, dosage, strength, and frequency), from a variety of sources (like doctors’ notes, clinical trial reports, and patient health records). Amazon Comprehend Medical can also link the detected information to medical ontologies such as ICD-10-CM or RxNorm so downstream healthcare applications can use it easily.

The following diagram illustrates how Amazon Comprehend Medical supports medical named entity and relationship extractions.

Amazon Transcribe Medical, Amazon Comprehend Medical, and Twilio Media Streams are all managed platforms. This means that data scientists and healthcare IT teams don’t need to build services from the ground up. Voice integration is provided by Twilio and  AWS ML services APIs, and only requires a simple plug-and-play with AWS and Twilio services to build the end-to-end workflow.

Solution overview

Our solution uses Twilio Media Streams to provide telephony service to the customer. This service provides a telephone number and backend to media services to integrate it with REST API-based web applications. In this solution, we build a Node.js web app and deploy it with AWS Amplify. Amplify helps front-end web and mobile developers build secure, scalable, full stack applications. The web app interfaces with Twilio Media Streams to receive phone calls in voice format, and uses Amazon Transcribe Medical to convert voice to text. Upon receiving the transcription, the application interfaces with Amazon Comprehend Medical to extract medical terms and insights from the transcription. The insights are displayed on the web app and stored in an Amazon DynamoDB table for further analysis. The solution also uses Amazon Simple Storage Service (Amazon S3) and an AWS Cloud9 environment.

The following diagram illustrates the solution architecture.

To implement the solution, we complete the following high-level steps:

  1. Create a trial Twilio account.
  2. Create an AWS Identity and Access Management (IAM) user.
  3. Create an AWS Cloud9 integrated development environment (IDE).
  4. Clone the GitHub repo.
  5. Create a secured HTTPS tunnel using ngrok and set up Twilio phone number’s voice configuration.
  6. Run the application.

Create a trial Twilio account

Before getting started, make sure to sign up for a trial Twilio account (https://www.twilio.com/try-twilio), if you don’t already have one.

Create an IAM user

To create an IAM user, complete the following steps:

  1. On the IAM console, under Access management, choose Users.
  2. Choose Add user.
  3. On the Set user details page, for User name¸ enter a name.
  4. For Access type, select Programmatic access.
  5. Choose Next: Permissions.

  1. On the Set permissions page, choose Attach existing policies directly.
  2. Select the following AWS Managed Policies, AmazonTranscribeFullAccess, ComprehendMedicalFullAccess, AmazonDyanmoDBFullAccess, and AmazonS3FullAccess.
  3. Choose Next: Tags.
  4. Skip adding tags and choose Next: Review.
  5. Review the IAM user details and attached policies and choose Create user.

  1. On the next page, copy the access key ID and secret access key to your clipboard or download the CSV file.

We use these credentials for testing the Node.js application.

Create an S3 Bucket

To create your Amazon S3 Bucket, complete the following steps.

  1. On the Amazon S3 console, choose Create bucket.
  2. For Bucket name, enter a name for the Amazon S3 bucket.
  3. For Block Public Access settings for this bucket check Block all public access.
  4. Review the settings and choose Create bucket.

Create an Amazon DynamoDB Table

To create your Amazon DynamoDB table, complete the following steps.

  1. On the Amazon DynamoDB console, choose Create table.
  2. For Table name, enter a name for the Amazon DynamoDB Table.
  3. For Primary key, enter ROWID for the primary key.

  1. Review the Amazon DynamoDB table settings and choose

Create an AWS Cloud9 environment

To create your AWS Cloud9 environment, complete the following steps.

  1. On the AWS Cloud9 console, choose Environments.
  2. Choose Create environment.
  3. For Name, enter a name for the environment.
  4. For Description, enter an optional description.
  5. Choose Next step.

  1. On the Configure Settings page, select Ubuntu Server 18.04 LTS for Platform and leave the other settings as default.

  1. Review the settings and choose Create environment.

The AWS Cloud9 IDE tab opens on your browser; you may have to wait a few minutes for the environment creation process to complete.

Clone the GitHub repo

In the AWS Cloud9 environment, close the Welcome and AWS Toolkit – QuickStart tabs. To clone the GitHub repository, on the bash terminal, enter the following code:

git clone https://github.com/aws-samples/amazon-transcribe-comprehend-medical-twilio cd twilio-medical-transcribe && npm install --silent

Edit the config.json file under the project directory. Replace the values with your Amazon S3 Bucket and Amazon DynamoDB table.

Set up ngrok and the Twilio phone number

Before we start the Node.js application, we need to start a secured HTTPS tunnel using ngrok and set up the Twilio phone number’s voice configuration.

  1. On the terminal, choose the +
  2. Choose New Terminal.

  1. On the terminal, install ngrok:
    sudo snap install ngrok

  2. After ngrok is installed, run the following code to expose the local Express Node.js server to the internet:
    ngrok http 8080

  3. Copy the public HTTPS URL.

You use this URL for the Twilio phone number’s voice configuration.

  1. Sign in to your Twilio account.
  2. On the dashboard, choose the icon to open the Settings

  1. Choose Phone Numbers.

  1. On the Phone Numbers page, choose your Twilio phone number.

  1. In the Voice section, for A Call Comes In, choose Webhook.
  2. Enter the ngrok tunnel followed by /twiml.
  3. Save the configuration.

Run the application

Let’s now run the Twilio Media Streams, Amazon Transcribe Medical, and Amazon Comprehend Medical services by entering the following code:

We can preview the application in AWS Cloud9. In the environment, on the Preview menu, choose Preview Running Application.

You can copy the public URL to view the application in another browser tab.

Enter the IAM user access ID and secret key credentials, and your Twilio account SID, auth token, and phone number.

Demonstration

In this section, we use two sample recordings to demonstrate real-time audio transcription with Twilio Media Streams.

After you enter your IAM and Twilio credentials, choose Submit Credentials.

The following screenshot shows the transcription for our first audio file, sample-1.mp4.

The following screenshot shows the transcription for our second file, sample-3.mp4.

This application uses Amazon Transcribe Medical to transcribe media content in real time, and stores the output in Amazon S3 for further analysis. The application then uses Amazon Comprehend Medical to detect the following entities:

  • ANATOMY – Detects references to the parts of the body or body systems and the locations of those parts or systems
  • MEDICAL_CONDITION – Detects the signs, symptoms, and diagnosis of medical conditions
  • MEDICATION – Detects medication and dosage information for the patient
  • PROTECTED_HEALTH_INFORMATION – Detects the patient’s personal information
  • TEST_TREATMENT_PROCEDURE – Detects the procedures that are used to determine a medical condition
  • TIME_EXPRESSION – Detects entities related to time when they are associated with a detected entity

These entities are stored in the DynamoDB table. Healthcare providers can use this data to create patient diagnosis and treatment plan.

You can further analyze this data through services such as Amazon Elasticsearch Service (Amazon ES) and Amazon Kendra.

Clean up your resources

The AWS services used in this solution are part of the AWS Free Tier. If you’re not using the Free Tier, clean up the following resources to avoid incurring additional charges:

  • AWS Cloud9 environment
  • Amazon S3 Bucket
  • Amazon DynamoDB Table
  • IAM user

Conclusion

In this post, we showed how to integrate Twilio Media Streams with Amazon Transcribe Medical and Amazon Comprehend Medical to transcribe and analyze medical data from audio files. You can also use this solution in non-healthcare industries to transcribe information from audio.

We invite you to check out the code in the GitHub repo and try out the solution, and even expand on the data analysis with Amazon ES or Amazon Kendra.


About the Author

Mahendra Bairagi is a Principal Machine Learning Prototyping Architect at Amazon Web Services. He helps customers build machine learning solutions on AWS. He has extensive experience on ML, Robotics, IoT and Analytics services. Prior to joining Amazon Web Services, he had long tenure as entrepreneur, enterprise architect and software developer.

Jay Park is a Prototyping Solutions Architect for AWS. Jay is focused on helping AWS customers speed their adoption of cloud-native workloads through rapid prototyping

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Source: https://aws.amazon.com/blogs/machine-learning/perform-medical-transcription-analysis-in-real-time-with-amazon-transcribe-medical-and-amazon-comprehend-medical-with-twilio-media-streams/

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Optimal Dynamics nabs $22M for AI-powered freight logistics

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Join Transform 2021 this July 12-16. Register for the AI event of the year.


Optimal Dynamics, a New York-based startup applying AI to shipping logistics, today announced that it closed a $18.4 million round led by Bessemer Venture Partners. Optimal Dynamics says that the funds will be used to more than triple its 25-person team and support engineering efforts, as well as bolster sales and marketing departments.

Last-mile delivery logistics tends to be the most expensive and time-consuming part of the shipping process. According to one estimate, last-mile accounts for 53% of total shipping costs and 41% of total supply chain costs. With the rise of ecommerce in the U.S., retail providers are increasingly focusing on fulfilment and distribution at the lowest cost. Particularly in the construction industry, the pandemic continues to disrupt wholesalers — a 2020 Statista survey found that 73% of buyers and users of freight transportation and logistics services experienced an impact on their operations.

Founded in 2016, Optimal Dynamics offers a platform that taps AI to generate shipment plans likely to be profitable — and on time. The fruit of nearly 40 years of R&D at Princeton, the company’s product generates simulations for freight transportation, enabling logistics companies to answer questions about what equipment they should buy, how many drivers they need, daily dispatching, load acceptance, and more.

Simulating logistics

Roughly 80% of all cargo in the U.S. is transported by the 7.1 million people who drive flatbed trailers, dry vans, and other heavy lifters for the country’s 1.3 million trucking companies. The trucking industry generates $726 billion in revenue annually and is forecast to grow 75% by 2026. Even before the pandemic, last-mile delivery was fast becoming the most profitable part of the supply chain, with research firm Capgemini pegging its share of the pie at 41%.

Optimal Dynamics’ platform can perform strategic, tactical, and real-time freight planning, forecasting shipment events as far as two weeks in advance. CEO Daniel Powell — who cofounded the company with his father, Warren Princeton, a professor of operations research and financial engineering — says that the underlying technology was deployed, tested, and iterated with trucking companies, railroads, and energy companies, along with projects in health, ecommerce, finance, and materials science.

“Use of something called ‘high-dimensional AI’ allows us to take in exponentially greater detail while planning under uncertainty. We also leverage clever methods that allow us to deploy robust AI systems even when we have very little training data, a common issue in the logistics industry,” Powell told VentureBeat via email. “The results are … a dramatic increase in companies’ abilities to plan into the future.”

The global logistics market was worth $10.32 billion in 2017 and is estimated to grow to $12.68 billion USD by 2023, according to Research and Markets. Optimal Dynamics competes with Uber, which offers a logistics service called Uber Freight. San Francisco-based startup KeepTruckin recently secured $149 million to further develop its shipment marketplace. Next Trucking closed a $97 million investment. And Convoy raised $400 million at a $2.75 billion valuation to make freight trucking more efficient.

But 25-employee Optimal Dynamics investor Mike Droesch, a partner at BVP, says that demand remains strong for the company’s products. “Logistics operators need to consider a staggering number of variables, making this an ideal application for a software-as-a-service product that can help operators make more informed decisions by leveraging Optimal Dynamics industry leading technology. We were really impressed with the combination of their deep technology and the commercial impact that Optimal Dynamics is already delivering to their customers,” he said in a statement.

With the latest funding round, a series A, Optimal Dynamics has raised over $22 million to date. Beyond Bessemer, Fusion Fund, The Westly Group, TenOneTen Ventures, Embark Ventures, FitzGate Ventures, and John Larkin and John Hess also contributed .

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Source: https://venturebeat.com/2021/05/13/optimal-dynamics-nabs-22m-for-ai-powered-freight-logistics/

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Code-scanning platform BluBracket nabs $12M for enterprise security

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Code security startup BluBracket today announced it has raised $12 million in a series A round led by Evolution Equity Partners. The capital will be used to further develop BluBracket’s products and grow its sales team.

Detecting exploits in source code can be a pain point for enterprises, especially with the onset of containerization, infrastructure as code, and microservices. According to a recent Flexera report, the number of vulnerabilities remotely exploitable in apps reached more than 13,300 from 249 vendors in 2020. In 2019, Barracuda Networks found that 13% of security pros hadn’t patched their web apps over the past 12 months. And in a 2020 survey from Edgescan, organizations said it took them an average of just over 50 days to address critical vulnerabilities in internet-facing apps.

BluBracket, which was founded in 2019 and is headquartered in Palo Alto, California, scans codebases for secrets and blocks future commits from introducing new risks. The platform can monitor real-time risk scores across codebases, git configurations, infrastructure as code, code copies, and code access and resolve issues, detecting passwords and over 50 different types of tokens, keys, and IDs.

Code-scanning automation

Coralogix estimates that developers create 70 bugs per 1,000 lines of code and that fixing a bug takes 30 times longer than writing a line of code. In the U.S., companies spend $113 billion annually on identifying and fixing product defects.

BluBracket attempts to prevent this by proactively monitoring public repositories with the highest risk factors, generating reports for dev teams. It prioritizes commits based on their risk scores, minimizing duplicates using a tracking hash for every secret. A rules engine reduces false positives and scans for regular expressions, as well as sensitive words. And BluBracket sanitizes commit history both locally and remotely, supporting the exporting of reports via download or email.

BluBracket offers a free product in its Community Edition. Both it and the company’s paid products, Teams and Enterprise, work with GitHub, BitBucket, and Gitlab and offer CI/CD integration with Jenkins, GitHub Actions, and Azure Pipelines.

BluBracket

Above: The Community Edition of BluBracket’s software.

Image Credit: BluBracket

“Since our introduction early last year, the industry has seen through Solar Winds how big of an attack surface code is. Hackers are exploiting credentials and secrets in code, and valuable code is available in the public domain for virtually every company we engage with,” CEO Prakash Linga, who cofounded BluBracket with Ajay Arora, told VentureBeat via email.

BluBracket competes on some fronts with Sourcegraph, a “universal code search” platform that enables developer teams to manage and glean insights from their codebase. It has another rival in Amazon’s CodeGuru, an AI-powered developer tool that provides recommendations for improving code quality. There’s also cloud monitoring platform Datadog, codebase coverage tester Codecov, and feature-piloting solution LaunchDarkly, to name a few.

But BluBracket, which has about 30 employees, says demand for its code security solutions has increased “dramatically” since 2020. Its security products are being used in “dozens” of companies with “thousands” of users, according to Linga.

“DevSecOps and AppSec teams are scrambling, as we all know, to address this growing threat. By enabling their developers to keep these secrets out of code in the first place, our solutions make everyone’s life easier,” Linga continued. “We are excited to work with Evolution on this next stage of our company’s growth.”

Unusual Ventures, Point72 Ventures, SignalFire, and Firebolt Ventures also participated in BluBracket’s latest funding round. The startup had previously raised $6.5 million in a seed round led by Unusual Ventures.

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Source: https://venturebeat.com/2021/05/13/code-scanning-platform-blubracket-nabs-12m-for-enterprise-security/

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Data governance and security startup Cyral raises $26M

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Data security and governance startup Cyral today announced it has raised $26 million, bringing its total to date to $41.1 million. The company plans to put the funds toward expanding its platform and global workforce.

Managing and securing data remains a challenge for enterprises. Just 29% of IT executives give their employees an “A” grade for following procedures to keep files and documents secure, according to Egnyte’s most recent survey. A separate report from KPMG found only 35% of C-suite leaders highly trust their organization’s use of data and analytics, with 92% saying they were concerned about the reputational risk of machine-assisted decisions.

Redwood City, California-based Cyral, which was founded in 2018 by Manav Mital and Srini Vadlamani, uses stateless interception technology to deliver enterprise data governance across platforms, including Amazon S3, Snowflake, Kafka, MongoDB, and Oracle. Cyral monitors activity across popular databases, pipelines, and data warehouses — whether on-premises, hosted, or software-as-service-based. And it traces data flows and requests, sending output logs, traces, and metrics to third-party infrastructure and management dashboards.

Cyral can prevent unauthorized access from users, apps, and tools and provide dynamic attribute-based access control, as well as ephemeral access with “just-enough” privileges. The platform supports both alerting and blocking of disallowed accesses and continuously monitors privileges across clouds, tracking and enforcing just-in-time and just-enough privileges for all users and apps.

Identifying roles and anomalies

Beyond this, Cyral can identify users behind shared roles and service accounts to tag all activity with the actual user identity, enabling policies to be specified against them. And it can perform baselining and anomaly detection, analyzing aggregated activity across data endpoints and generating policies for normal activity, which can be set to alert or block anomalous access.

“Cyral is built on a high-performance stateless interception technology that monitors all data endpoint activity in real time and enables unified visibility, identity federation, and granular access controls. [The platform] automates workflows and enables collaboration between DevOps and Security teams to automate assurance and prevent data leakage,” the spokesperson said.

Cyral

Existing investors, including Redpoint, Costanoa Ventures, A.Capital, and strategic investor Silicon Valley CISO Investments, participated in Cyral’s latest funding round. Since launching in Q2 2020, Cyral — which has 40 employees and occupies a market estimated to be worth $5.7 billion by 2025, according to Markets and Markets — says it has nearly doubled the size of its team and close to quadrupled its valuation.

“This is an emerging market with no entrenched solutions … We’re now working with customers across a variety of industries — finance, health care, insurance, supply chain, technology, and more. They include some of the world’s largest organizations with complex environments and some of the fastest-growing tech companies,” the spokesperson said. “With Cyral, our company was built during the pandemic. We have grown the majority of our company during this time, and it has allowed us to start our company with a remote-first business model.”

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VentureBeat’s mission is to be a digital town square for technical decision-makers to gain knowledge about transformative technology and transact. Our site delivers essential information on data technologies and strategies to guide you as you lead your organizations. We invite you to become a member of our community, to access:

  • up-to-date information on the subjects of interest to you
  • our newsletters
  • gated thought-leader content and discounted access to our prized events, such as Transform 2021: Learn More
  • networking features, and more

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Source: https://venturebeat.com/2021/05/13/data-governance-and-security-startup-cyral-raises-26m/

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Data governance and security startup Cyral raises $26M

Avatar

Published

on

Join Transform 2021 this July 12-16. Register for the AI event of the year.


Data security and governance startup Cyral today announced it has raised $26 million, bringing its total to date to $41.1 million. The company plans to put the funds toward expanding its platform and global workforce.

Managing and securing data remains a challenge for enterprises. Just 29% of IT executives give their employees an “A” grade for following procedures to keep files and documents secure, according to Egnyte’s most recent survey. A separate report from KPMG found only 35% of C-suite leaders highly trust their organization’s use of data and analytics, with 92% saying they were concerned about the reputational risk of machine-assisted decisions.

Redwood City, California-based Cyral, which was founded in 2018 by Manav Mital and Srini Vadlamani, uses stateless interception technology to deliver enterprise data governance across platforms, including Amazon S3, Snowflake, Kafka, MongoDB, and Oracle. Cyral monitors activity across popular databases, pipelines, and data warehouses — whether on-premises, hosted, or software-as-service-based. And it traces data flows and requests, sending output logs, traces, and metrics to third-party infrastructure and management dashboards.

Cyral can prevent unauthorized access from users, apps, and tools and provide dynamic attribute-based access control, as well as ephemeral access with “just-enough” privileges. The platform supports both alerting and blocking of disallowed accesses and continuously monitors privileges across clouds, tracking and enforcing just-in-time and just-enough privileges for all users and apps.

Identifying roles and anomalies

Beyond this, Cyral can identify users behind shared roles and service accounts to tag all activity with the actual user identity, enabling policies to be specified against them. And it can perform baselining and anomaly detection, analyzing aggregated activity across data endpoints and generating policies for normal activity, which can be set to alert or block anomalous access.

“Cyral is built on a high-performance stateless interception technology that monitors all data endpoint activity in real time and enables unified visibility, identity federation, and granular access controls. [The platform] automates workflows and enables collaboration between DevOps and Security teams to automate assurance and prevent data leakage,” the spokesperson said.

Cyral

Existing investors, including Redpoint, Costanoa Ventures, A.Capital, and strategic investor Silicon Valley CISO Investments, participated in Cyral’s latest funding round. Since launching in Q2 2020, Cyral — which has 40 employees and occupies a market estimated to be worth $5.7 billion by 2025, according to Markets and Markets — says it has nearly doubled the size of its team and close to quadrupled its valuation.

“This is an emerging market with no entrenched solutions … We’re now working with customers across a variety of industries — finance, health care, insurance, supply chain, technology, and more. They include some of the world’s largest organizations with complex environments and some of the fastest-growing tech companies,” the spokesperson said. “With Cyral, our company was built during the pandemic. We have grown the majority of our company during this time, and it has allowed us to start our company with a remote-first business model.”

VentureBeat

VentureBeat’s mission is to be a digital town square for technical decision-makers to gain knowledge about transformative technology and transact. Our site delivers essential information on data technologies and strategies to guide you as you lead your organizations. We invite you to become a member of our community, to access:

  • up-to-date information on the subjects of interest to you
  • our newsletters
  • gated thought-leader content and discounted access to our prized events, such as Transform 2021: Learn More
  • networking features, and more

Become a member

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Source: https://venturebeat.com/2021/05/13/data-governance-and-security-startup-cyral-raises-26m/

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