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Data Privacy › Life Sciences › Data Management

McDermott Will & Emery

FDA Reveals AI Development Cheat Sheet in Highly Anticipated Draft Guidances

McDermott Will & Emery on

Early in the new year, the US Food and Drug Administration (FDA) released two anticipated draft guidance documents focused on artificial intelligence (AI): Artificial Intelligence-Enabled Device Software Functions: Lifecycle...more

Troutman Pepper Locke

2025 SCOPE Conference Emphasizes AI and Better Technologies to Improve Patient Outcomes

Troutman Pepper Locke on

The 2025 SCOPE Conference (Summit for Clinical Ops Executives), held last week in Orlando, FL, brought together more than 4,500 industry leaders, innovators, and experts in the clinical operations field. ...more

Epstein Becker & Green

Beyond HIPAA: FTC’s Data Protection Authority Results in Settlement with Genetic Testing Company

Epstein Becker & Green on

A recent enforcement action by the Federal Trade Commission (“FTC”) against 1Health.io—which sells “DNA Health Test Kits” to consumers for health and ancestry insights—serves as a reminder that the FTC is increasingly...more

Sheppard Mullin Richter & Hampton LLP

International Cooperation under China’s Proposed Implementing Rules for Human Genetic Resources Management

Sheppard Mullin Richter & Hampton LLP on

In the previous blog post, we discussed a few highlights of the Implementing Rules for Human Genetic Resources Management (draft for comment) (人类遗传资源管理条例实施细则（征求意见稿）)(the “Draft Rules”). In this blog post, we will discuss a...more

Hogan Lovells

Looking ahead to 2021: AI – A brave new world?

Hogan Lovells on

In recent years, AI has become a buzzword in life sciences and health care as the technology has developed to create applications from drug discovery to diagnostics to therapeutics. Most recently, AI has been used in the...more

Hogan Lovells

A look at how AI and blockchain could solve data management and integrity issues in a life sciences environment and the challenges...

Hogan Lovells on

Blockchain and artificial intelligence (AI) are opening new doors towards improving data efficiency in the life sciences industry. But these technologies may also impose unique limitations and curtail the traditional role of...more

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