Tag Archives: Machine Learning

Using Machine Learning to develop blood test for key Alzheimer’s biomarker

giornata-mondiale-alzheimer-2018-824-464Alzheimer’s disease, a terminal neurodegenerative disease, has historically been diagnosed based on observing significant memory loss. Recent research has shown that a biological marker associated with the disease, a peptide called amyloid-beta, changes long before any memory-related issues are apparent.

Examining the concentration of the peptide in an individual’s spinal fluid provides an indication of risk decades before any memory related issues occur. Unfortunately, accessing spinal fluid is highly invasive, requires an anaesthetist and is expensive to conduct on large segments of the population. Hence, there is a strong effort in the research community to develop a less invasive test, such as a blood test, that can yield information about Alzheimer’s disease risk.

A recent paper by my team at IBM Research – Australia, published today in Scientific Reports, used machine learning to identify a set of proteins in blood that can predict the concentration of amyloid-beta in spinal fluid. The models we built could one day help clinicians to predict this risk with an accuracy of up to 77%.

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Scientific ReportsA blood-based signature of cerebrospinal fluid Aβ1–42 status (Published: 11 March 2019)

AWS expands HIPAA eligible machine learning services for healthcare customers

AWS HealthcareAWS announced that Amazon Translate, Amazon Comprehend, and Amazon Transcribe are now U.S. Health Insurance Portability and Accountability Act of 1996 (HIPAA) eligible services.

This announcement adds to the number of AWS artificial intelligence services that are already HIPAA eligible– Amazon Polly, Amazon SageMaker, and Amazon Rekognition. By using these services, AWS customers in the healthcare industry can leverage data insights to deliver better outcomes for providers and patients using the power of machine learning (ML).

To support our healthcare customers, AWS HIPAA eligible services enable covered entities and their business associates subject to HIPAA to use the secure AWS environment to process, maintain, and store protected health information. Healthcare companies like NextGen Healthcare, Omada Health, Verge Health, and Orion Health are already running HIPAA workloads on AWS to analyze numerous patient records.

AWS

The addition of Amazon Translate, Amazon Transcribe, and Amazon Comprehend to the list of HIPAA eligible services will allow customers to leverage these AWS ML services to better streamline customer support and improve patient engagement. Customers can use these three services to leverage the following ML capabilities:

Amazon Transcribe: A speech-to-text service that automatically creates text transcripts from audio files will allow healthcare organizations to create text transcripts calls with patients.
Amazon Translate: A neural machine translation service that delivers fast, high-quality, and affordable language translation. This service can be employed to easily translate large volumes of text efficiently and enable patients to chat with their healthcare provider in their preferred language.
Amazon Comprehend: A natural language processing (NLP) service that can find insights and relationships in unstructured text. It can analyze sentiment (e.g., negative, positive, and neutral), and extract key phrases from patient interactions to better understand and improve engagement.

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