Varda Space and United Therapeutics Partner on Microgravity Drug Formulation

May 14, 2026
Varda Space Industries and United Therapeutics have announced a collaboration to study drug formulation in microgravity, aiming to develop improved treatments for rare pulmonary diseases using Varda's orbital manufacturing platform.

Varda Space Industries and United Therapeutics have announced a collaboration to explore microgravity-based drug formulation for rare pulmonary diseases, according to a press release.

The companies will conduct pharmaceutical processing aboard Varda's orbital manufacturing and reentry platform during multiple missions to low Earth orbit. The work will focus on how microgravity affects the structure and crystallization of small molecule medicines, with the goal of improving drug stability, bioavailability, and delivery characteristics.

Initial experiments will involve compounds used in treatments for life-threatening pulmonary conditions. Varda's system launches pharmaceutical payloads to orbit, processes materials in microgravity, and returns the finished products to Earth using its W-series reentry capsules.

The collaboration brings together Varda's orbital manufacturing capabilities and United Therapeutics' expertise in drug development to investigate how space-based processing can produce formulations not achievable under terrestrial conditions.

We hope you enjoyed this article

Consider subscribing to one of our newsletters like Life AI Weekly or Daily AI Brief.

Also, consider following us on social media:

Free newsletter

Life AI Weekly

Weekly coverage of AI applications in healthcare, drug development, biotechnology research, and genomics breakthroughs.

Whitepaper

Tensordyne Napier: What If One Rack Could Do the Work of Nine?

Tensordyne

This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.

Read more
Free, six days a week

Daily AI Brief: the AI news that matters, in your inbox.