Machine Learning for Healthcare & Life Sciences

Make sense of scientific and health data at scale

AWS machine learning empowers healthcare and life science organizations to make sense of their health data with purpose-built health AI services and the most comprehensive machine learning platform. Facing a robust set of challenges from the rising cost of healthcare to physician burnout to the inconsistent, complex nature of health data, healthcare and life science organizations are adopting machine learning to accelerate the pace of innovation and improve efficiency. AWS delivers unmatched reliability, security, and data privacy. With AWS machine learning, healthcare providers, payers, pharmaceutical companies, startups, ISVs and IT vendors are improving and accelerating diagnosis, managing population health, enabling drug discovery, and modernizing care infrastructure at a global scale.

Making sense of health data with AWS machine learning (3:19)

Benefits

Make sense of health data

Make sense of health data

Understand and extract meaningful medical information from raw, disparate health data with advanced analytics and machine learning capabilities, such as natural language processing, to identify trends and make predictions.

Increase the pace of innovation

Increase the pace of innovation

Accelerate your adoption of machine learning with purpose-built health AI services and a comprehensive machine learning service to reduce costs, drive efficiency, and quickly adapt to new challenges.

Build on a trusted platform

Build on a trusted platform

AWS offers a mature, secure, and reliable cloud platform with a deep understanding of healthcare industry regulations (e.g. HIPAA, GDPR) and consistent data transparency and control to protect patient privacy. More healthcare customers trust AWS with their data than any other cloud provider.

Use cases

Machine learning is playing an increasingly important role in helping healthcare and life science organizations tackle new and complex challenges across key use cases.

  • Improve diagnostics
  • Manage population health
  • Accelerate drug discovery
  • Modernize care infrastructure
  • Improve diagnostics
  • Improve diagnostics

    As the volume and accessibility of health data increases, machine learning is playing an important role in diagnosis. Machine learning helps to structure, normalize, and analyze health data, so healthcare and life science organizations can use it to make better and quicker decisions — be it precision diagnosis using genomic sequencing, early-state cancer detection, or advanced cardiac visualization with custom machine learning models. Purpose-built health AI services automatically transform health data in minutes, instead of weeks or months, so clinicians can accelerate diagnosis and provide early intervention.

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    Customer case studies

    Machine Learning Services

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    Amazon SageMaker

    Build predictive disease models with Amazon SageMaker.

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    Amazon Rekognition

    Automate your medical image and video analysis with Amazon Rekognition.

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    Amazon HealthLake

    Store, transform, query, and analyze health data with Amazon HealthLake.

  • Manage population health
  • Manage population health

    Developing a better understanding of the health of a population can help policy makers and healthcare systems make data-driven decisions to care for millions of patients. Machine learning tools provide a chronological view of medical events to help healthcare organizations analyze population health trends and outcomes. Biopharma organizations can analyze large-scale population genomic studies. Customers can easily create a cohort of patients and their treatments, demographics, and tests and use advanced machine learning models to understand how a population changes over time to identify the most appropriate treatment for a patient population.

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    Customer case studies

    Machine Learning Services

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    Amazon SageMaker

    Build predictive disease models with Amazon SageMaker.

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    Amazon HealthLake

    Store, transform, query, and analyze health data with Amazon HealthLake.

  • Accelerate drug discovery
  • Accelerate drug discovery

    Pharmaceutical and biotech companies need to find innovative ways to more quickly and efficiently discover, develop, trial, manufacture, and commercialize therapeutics. Machine learning is leveraged across the pharmaceutical value chain from rapid experimentation for drug discovery to enabling smart manufacturing to post-market surveillance to detect adverse events.

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    Customer case studies

    Machine Learning Services

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    Amazon SageMaker

    Build predictive disease models with Amazon SageMaker.

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    Amazon Transcribe Medical

    Automate the transcription of calls reporting adverse drug events with Amazon Transcribe Medical.

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    Amazon Translate

    Translate reports into a common language with Amazon Translate.

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    Amazon Kendra

    Introduce highly accurate, intelligent enterprise search service to accelerate drug development with Amazon Kendra.

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    Amazon Neptune

    Build Knowledge Graphs for drug discovery, target identification and molecular design with Amazon Neptune.

  • Modernize care infrastructure
  • Modernize care infrastructure

    The health industry is complex with a lot of manual, paper-based processes and health records. Using document classification, natural language understanding, and speech-to-text technologies, machine learning can simplify and automate processes to help improve efficiency, reduce hospital waste, and decrease physician burnout. Purpose-built health AI services and advanced machine learning models can help modernize the care infrastructure and reduce operational overhead, while at the same time support interoperability, like the Fast Healthcare Interoperable Resources (FHIR) industry standard.

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    Customer case studies

    Machine Learning Services

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    Amazon HealthLake

    Store, transform, query, and analyze health data with Amazon HealthLake.

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    Amazon Textract

    Easily extract printed text, handwriting, and data from health documents with Amazon Textract.

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    Amazon Lex

    Build conversational interfaces into any health application, like void assistants and digital front door applications, using voice and text with Amazon Lex.

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    Amazon Transcribe Medical

    Accurately transcribe physician-patient conversations using automated speech recognition.

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    Amazon Comprehend Medical

    Extract health data from free-form medical text like doctors’ notes, clinical trial reports, and patient health records.

Customer case studies

Cerner logo
How can we create a model to identify the onset of chronic conditions earlier?
 
Using Amazon SageMaker, Cerner can predict Congestive Heart Failure up to 15 months before clinical manifestation. Pairing this predictive tool with real-time integration in to individual health records can support provider decision making in real time.
Moderna logo
How can we revolutionize the drug discovery process and bring drugs to market faster?
 
Using machine learning built on AWS, Moderna developed a new mRNA COVID-19 vaccine with unprecedented speed. Algorithms enable rapid experimentation cycles and help design mRNA and DNA sequences; they automate quality control data analyses, saving countless hours of manual review; and they automate logistics decisions.
Cambia logo
How can we give individuals access to critical healthcare information?
 
Using Amazon Comprehend Medical and Amazon Textract, Cambia Health Solutions can automatically extract information from medications, medical conditions, and procedures and document them in a single, user-friendly platform. This removes much of the human intervention from the work and enables better evaluation of patient health risks.
Anthem logo
How can we more efficiently extract important information from insurance claims forms?
 
Using Amazon Textract, Anthem is able to digitize and automate its claims process. Textract’s image-processing capability, ability to detect tables and forms and adherence to security and compliance standards – allows Anthem to quickly process thousands of claims each day.

Get started

Leading companies in healthcare & life sciences are already using AWS. Contact our experts and start your own journey today.

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