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INTEL, DUALITY, AND SECURITY IN LIFE SCIENCES 


Emory Walsh|
March 13, 2023


Learn more about secure, collaborative computing Request a demo


Back


INTEL, DUALITY, AND SECURITY IN LIFE SCIENCES 

Emory Walsh|
March 13, 2023


Learn more about secure, collaborative computing Request a demo


Post


DATA VULNERABILITIES AND THE NEED FOR DATA SECURITY 

In the life sciences field, enormous amounts of essential data exist, often
containing sensitive information. This data could encompass anything from
patient clinical records and genomics to clinical trial recruitment and AI
model/analytics. These types of information are very attractive to cyber
threats, and the consequences of any breaches in this data are enormous,
bringing about both monetary losses and regulatory compliance issues. Safety is
a top priority when analyzing and computing on these datasets.

Joint development in this industry proves to be extremely difficult due to
concerns about data protection like HIPAA and GDPR in tandem with regulatory
compliance. Complications stemming from data sharing have made physical data
collection the standard practice when in need of a dataset. This creates an
industry-wide need for secured solutions or technologies that safely enable
sophisticated analytics and model building. These security for life sciences
solutions must be able to access and store sensitive data without data
centralization to facilitate industry collaboration. 


DUALITY AND INTEL: ADDRESSING REAL-WORLD CONCERNS IN THE LIFE SCIENCES SPACE

Recently, Duality has partnered with Intel to pursue this issue and advance the
possibility of privacy preserving data collaboration using Privacy Enhancing
Technologies (PETs) to enable more secure data analysis and AI on encrypted
data. The goal was to tackle real world evidence studies to aid and accelerate
medical and pharmaceutical innovation. Real world evidence studies have many
concerns surrounding data privacy, security, collaboration, and confidentiality,
making collaboration on medical data extremely cumbersome.

To alleviate this issue, Duality created a solution using Intel’s 3rd Generation
Intel® Xeon® Scalable processors with built-in AI plus encryption accelerators.
Using fully homomorphic encryption on Intel platforms, privacy preserving data
collaboration has become possible and scalable, allowing enterprises to safely
and effectively compute on sensitive medical data.

Leveraging Federated Learning alongside Homomorphic Encryption, Duality has
allowed the centralized orchestration of sensitive data while preventing leakage
of intermediate federated model training results. This allows linking patient
health records but also doing statistical analyses, regression models, and more
on this data while working at speeds faster than most cutting-edge technologies.
In this solution, data owners remain in control of how and when their data is
used during collaboration. Using Duality’s platform, customers can unleash the
full value of their data and AI while minimizing risk by making privacy-enhanced
data collaboration advantageous to analytic transformations in the life sciences
industry.

Security will continue to be among the top concerns of life sciences
organizations. With Duality and Intel’s recent project, there is now a solution
to secure data collaboration and customers can harness big data using advanced
AI techniques, offering valuable data and analytics to the medical field. If
taken advantage of, this technology will permit further innovation and discovery
in the field.

To read the full brief, click here.

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Phoebe Spanier March 21, 2023


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Marcella Arthur February 23, 2023


SECURE FEDERATED LEARNING: PROTECTING THE DATA AND THE MODEL

Omer Moran February 22, 2023
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