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)

Philips incubator program focuses on AI healthcare

philips-incubator-program-focuses-on-ai-healthcare-min2-min-910x420As a global leader in health technology, Philips, or Royal Philips, has opened a collaboration programme for 19 start-ups to join the Philips incubator program.

The initiative is a global collaboration working across the Philips innovation hubs across the world with the focus on improving AI in healthcare.

The global collaboration program includes intelligent treatment for radiology, oncology and ultrasound. It also covers AI clinical decisions support tools such as image interpretation, analysis and workflow tools.

Out of 750 applicants, 19 of the most promising start-ups were selected for the incubator program.

How it works
The fast-track program takes place over 12 weeks. During this time Philips will engage with all of the early stage start-ups, which come from 14 different countries.

Patient-Centred AI
While AI has already proven its ability to improve patient outcomes and the efficiency of care, it is important not to lose sight of the patient-centred approach.

Accelerating breakthrough innovation
With the collaboration programs, Philips aims to speed up breakthrough innovation within the health industry. They are doing this through supporting internal venturing and external start-up engagement.

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Salesforce named a leader in Real-Time Interaction Management

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Salesforce named a leader in Real-Time Interaction Management by independent research firm.

Salesforce [NYSE: CRM], the global leader in CRM, today announced that Salesforce was named a leader by Forrester Research in its report, The Forrester Wave™: Real-Time Interaction Management, Q1 2019.

Salesforce’s real-time interaction management capabilities are powered by the Salesforce Marketing Cloud, which enables companies to know their customers, personalize communications and engage with them across all channels in real-time.

sfdc-marketing-cloud-overview-products
Marketing Cloud analyzes the real-time behaviors of customers, visualizes the customer lifecycle and allows marketers to take action in the moment with the next best communication, such as a relevant promotional offer via email or a targeted digital ad.

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Michele Vespasiani's blog