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Home Politics & Law

The Data Dilemma: What 23andMe’s Bankruptcy Means for the Future of Medical Data Ownership

As 23andMe teeters on the brink, its trove of genetic data raises urgent legal and ethical questions: Who owns your health information—and what happens to it in bankruptcy?

 Dr. Jay K Joshi by Dr. Jay K Joshi
April 11, 2025
in Politics & Law
0

The news of 23andMe’s financial instability and potential bankruptcy isn’t just another tech-company flameout. It’s a watershed moment for the legal and ethical future of medical data. At stake is not only the fate of a pioneering consumer genetics company—but also the question of whether your health data is a corporate asset that can be bought, sold, or auctioned off in bankruptcy court.

With over 14 million customers and one of the largest private DNA databases in the world, 23andMe doesn’t just own intellectual property or software. It holds intimate, irrevocable genetic blueprints of individuals—information that reveals not just identity, but predisposition to disease, ancestry, and even potential future health risks.

As legal observers and privacy advocates alike watch this case unfold, it’s clear: the outcome will have long-term implications for how personal health data is handled in financial and legal systems.

Medical Data as an Asset: A Legal Grey Zone

Unlike traditional bankruptcy cases where assets are clearly defined—real estate, trademarks, patents—the status of personal health data remains legally ambiguous. In most jurisdictions, HIPAA protects health information under privacy law, but it doesn’t directly address whether such data can be monetized or transferred during corporate liquidation.

Courts have grappled with related questions in past cases:

  • In re Borders Group, Inc. (2011): Borders sought to sell its customer database during bankruptcy, but the court restricted the sale of personal information, citing the company’s privacy policy and consumer expectations.
  • FTC v. Toysmart.com (2000): Toysmart tried to sell customer data after filing for bankruptcy, but the FTC intervened, arguing that doing so would violate the company’s published privacy commitments.

These cases suggest that a company’s own privacy policy plays a pivotal role in whether personal data can be sold. 23andMe’s terms of service state that genetic information is stored, may be shared for research, and may be transferred in the event of a merger or acquisition—but a bankruptcy scenario pushes the legal framework into murky waters.

The Commodification of Health Data

Data—especially medical data—is now one of the most valuable assets a tech company can hold. In 23andMe’s case, the company has already partnered with pharmaceutical firms like GlaxoSmithKline (GSK) to monetize its database for drug discovery and population-level research.

But what happens if a third-party buyer in bankruptcy court wants access to that data not for research—but for advertising, insurance underwriting, or AI model training? The lack of clear federal precedent leaves this possibility dangerously open.

The case could prompt courts to determine, for the first time, whether genetic and health data:

  • Can be treated as a monetizable corporate asset
  • Must be protected under public health or privacy laws
  • Or occupies a unique legal category requiring new legislation

Implications for the Average Consumer

The fallout from a 23andMe bankruptcy could impact millions who submitted DNA samples under the assumption of long-term confidentiality. Even if data is anonymized or encrypted, re-identification risks remain—especially with the growing power of AI and genomic computing.

Consumers are now confronting a sobering reality: Your DNA may outlive your consent. And unless new legal protections are established, your data could be transferred without your approval.

This isn’t just a 23andMe issue. It sets the stage for how similar platforms—whether for fitness, mental health, or chronic disease monitoring—might treat user data in future financial crises.

Policy Recommendations and the Legal Future

Policymakers must act quickly to define the legal status of genetic and medical data in bankruptcy law. Potential interventions could include:

  • Amending HIPAA to address bankruptcy and liquidation scenarios
  • Requiring companies to segregate personal data from monetizable assets
  • Mandating data destruction or re-consent before third-party transfer
  • Creating an independent data stewardship authority to oversee sensitive transactions

Ultimately, a new legal category for biometric and medical data assets may be required—one that recognizes their dual nature as both scientifically valuable and personally sacred.

Final Thoughts

The collapse of 23andMe would be more than a corporate failure. It would be a reckoning for the digital health economy, forcing regulators, courts, and consumers to decide: Is your DNA just data—or something more?

We’ve reached a turning point. In a world where personal data is the new oil, we must decide how—and whether—to protect what is arguably the most personal data of all: our biology.

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 Dr. Jay K Joshi

Dr. Jay K Joshi

Dr. Joshi is the founding editor of Daily Remedy.

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Videos

In this episode, the host discusses the significance of large language models (LLMs) in healthcare, their applications, and the challenges they face. The conversation highlights the importance of simplicity in model design and the necessity of integrating patient feedback to enhance the effectiveness of LLMs in clinical settings.

Takeaways
LLMs are becoming integral in healthcare.
They can help determine costs and service options.
Hallucination in LLMs can lead to misinformation.
LLMs can produce inconsistent answers based on input.
Simplicity in LLMs is often more effective than complexity.
Patient behavior should guide LLM development.
Integrating patient feedback is crucial for accuracy.
Pre-training models with patient input enhances relevance.
Healthcare providers must understand LLM limitations.
The best LLMs will focus on patient-centered care.

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00:00 Introduction to LLMs in Healthcare
05:16 The Importance of Simplicity in LLMs
The Future of LLMs in HealthcareDaily Remedy
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AI Regulation and Deployment Is Now a Core Healthcare Issue

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Ambient Artificial Intelligence Clinical Documentation: Workflow Support with Emerging Governance Risk

Ambient Artificial Intelligence Clinical Documentation: Workflow Support with Emerging Governance Risk

by Daily Remedy
February 1, 2026
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Health systems are increasingly deploying ambient artificial intelligence tools that listen to clinical encounters and automatically generate draft visit notes. These systems are intended to reduce documentation burden and allow clinicians to focus more directly on patient interaction. At the same time, they raise unresolved questions about patient consent, data handling, factual accuracy, and legal responsibility for machine‑generated records. Recent policy discussions and legal actions suggest that adoption is moving faster than formal oversight frameworks. The practical clinical question is...

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