
SG HEALTHCARE AI
DATATHON & EXPO
Intel AI in Healthcare
29 November 2021
9.30am - 11am (GMT+8)
ONLINE
Session 1: Confidential Computing breaks data sharing barriers for Healthcare AI
Time: 9.30am - 10.15am
Synopsis:
Healthcare institutions can benefit by combining data from multiple sources to develop artificial intelligence algorithms. Confidential Computing powered by Intel® Software Guard Extensions is helping to make this happen. By combining data across multiple organizations, it allows organizations to use privacy preserving machine learning for analytics. But due to legislative concerns around privacy, exchanging data in a secure way has been a significant challenge. Common techniques protect data on the move and in storage, but data can now also be protected while in use.
Intel SGX is being used to protect data during processing in a hardware based trusted execution environment, protecting against higher privilege level processes such as operating systems, virtual machines, and administrators. Learn how secure enclaves are being used to help improve artificial intelligence in healthcare organizations:
• Federated Learning studies show improved detection of tumors with increased data set diversity while protecting the security of data from multiple organizations.
• Secure collection and analysis of Real-World Data is accelerating clinical trial processes
• Multi-party Analytics accelerates development of clinical AI algorithms
Session 2: Intel AI Implementation for Healthcare Industry
Time: 10.30am - 11am
Synopsis
Thanks to the further innovations of algorithms, the improvement of computing power and the continuous growth of data, Artificial Intelligence (AI) is undergoing rapid development, especially in the field of deep learning, and its application increasingly focuses on certain industries. The healthcare industry, as one of the key application fields of AI, is also investing more and more money into AI technologies.
In addition, genomics analysis is another important field of AI application. The further integration with AI will accelerate the development of gene sequencing and shorten the sequencing time and greatly reduce the sequencing cost, which will expand the vision for AI application in the healthcare industry. AI has a wide range of applications in healthcare. Healthcare is one of the most promising applications for AI, which is a common belief in the industry.Speakers
Wendy Bohner
Healthcare Solution Architect, Intel
Wendy Bohner is a Global Solution Architect for Healthcare at Intel. With over 17 years of experience in healthcare information management systems, she works with providers and payers and industry partners around the world on the development, implementation, and scaling of end-to-end healthcare solutions. Ms. Bohner advises Intel customers and partners on creating healthcare solutions that run on secure, reliable, and scalable architectures. She is a certified as a solution architect for Azure and AWS. In her previous role at Intel, she formulated Security, Application Identity and API Management solutions.
Prior to joining Intel, Ms. Bohner was a Lead System Designer working on the development of interoperable medical record system components for GE Healthcare. She has been granted 3 patents in the areas of healthcare interoperability and data correlation. Wendy received her BS in Operations Research from Gies College of Business at the University of Illinois at Urbana–Champaign.
Wei Wen
AI Technical Solution Specialist, Intel
Wei Wen worked on computer vision algorithm R&D based on machine learning and deep learning over 10 years. He influences and enables end use customers, ISVs, OXMs, etc. to implement Intel product and technologies in PRC. His professional technical support and business impact has led to many AI deal wins and huge business impact in recent years. With his deep insight and exceptional work, he holds 6 invention patents in PRC.
SINGAPORE HEALTHCARE AI DATATHON AND EXPO 2021