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Can Theranos resurrect from its ashes?

  • Miyo K. Chatanaka ORCID logo , Eleftherios P. Diamandis ORCID logo EMAIL logo und Mario Plebani ORCID logo
Veröffentlicht/Copyright: 18. Juli 2025
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Abstract

Theranos was a biotechnology company which, in the 2010s, promised to revolutionize traditional clinical chemistry testing by using novel technology, microvolumes of blood obtained by finger pricks, and performance of tests outside traditional clinical chemistry laboratories, such as in pharmacies. Theranos did not publish any details of their technology, nor sought to evaluate it independently. Despite this, it attracted millions of dollars of investments, and at a point, its market valuation reached $9 billion. Around 2015 the Theranos business practices and technology were scrutinized and it was revealed that they misled investors, doctors, and patients by falsely claiming of using their own technology, when in fact, they were using traditional clinical chemistry analyzers. The leaders of Theranos are now serving prison time. This year it was announced that a new effort is underway, by people who are related to Theranos, to start a new company, with objectives that partially overlap with those of the old company. Here, we comment on these new developments, with the hope that the lessons learned from the past will guide the new leaders to find success while mentioning that some new developments in the field will likely pose formidable competition.


Corresponding author: Eleftherios P. Diamandis, MD, PhD, FRCPC (Path), Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Sinai Health System, Toronto, ON, Canada; and ACDC Lab, Room L6-201, 60 Murray St, Toronto, ON, M5T 3L9, Canada, E-mail:

  1. Research ethics: Not applicable.

  2. Informed consent: Not applicable.

  3. Author contributions: All authors have accepted responsibility for the entire content of this manuscript and approved its submission. MKC and MP edited the manuscript. EPD drafted and conceptualized the manuscript.

  4. Use of Large Language Models, AI and Machine Learning Tools: None declared.

  5. Conflict of interest: Authors state no conflict of interest.

  6. Research funding: None declared.

  7. Data availability: Not applicable.

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Received: 2025-05-28
Accepted: 2025-07-07
Published Online: 2025-07-18
Published in Print: 2025-09-25

© 2025 Walter de Gruyter GmbH, Berlin/Boston

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