Tag Archives: IBM

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%.

Click here for more…

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

IBM Watson and Salesforce

IBM Watson & SalesforceIn March 2017, IBM and Salesforce announced a global strategic partnership to seamlessly connect predictive insights found in unstructured data from IBM Watson APIs to discoveries from customer data delivered by Salesforce Einstein. In this session, you?

Learn about the Watson services that are complementary to Einstein and how to quickly leverage Watson for Apex development.

IoT in Healthcare

IoT in HealthcareThe healthcare industry’s disruption is increasing through the use of the Internet of Things. Applications that connect to healthcare IT systems via online computer networks, smartphones and medical devices are transforming the way patient information is collected, and facilitating access to healthcare.

Healthcare technology is still evolving and the sector must be prepared to use big data collected from connected devices. An optimization of this data analysis has the potential to improve treatments, therapies and transform patient care at home.
IoT Wolrd Congress

By the IoT Solution World Congress in Barcellona it’s possibile to see and touch which are the most recent applications in this field like the following:

Predictive Maintenance of Hospital Equipment
Tracking Healthcare Devices
Interoperability of Health Devices
Remote Monitoring
Wearable mHealth devices
Sensored Hospital Beds
Automated Workflows and Location Intelligence
Internet of Medical Things
Improved Disease Management
Enhanced Patient Experience
Patient remote monitoring reduces costs and allows doctors to keep track of their patients when they are not in the doctor’s examination room. Interoperability of health devices is crucial to optimize the hospital workflow.

Aruba (a Hewlett Packard Enterprise company) describes with a short animation clip what is rising up into healthcare in terms of IoT adoption.

By the IoT Solution World Conngress in Barcellona it’s possibile also to go though case studies, both in partneship with IBM, that are important starting point in this new industry:

Novo Nordisk and IBM partner to build diabetes care solutions on the Watson Health Cloud
Infirmary Health System deployed a security solution to qualify for meaningful use dollars and reduced security incidents significantly.

These examples show the incredible power in terms of increasing efficiency and efficacy in chronical diseases and in the environment health management.