Quotient Sciences Begins Clinical Trial for AI Designed Drug Formulation
Quotient Sciences has begun a Phase I clinical study of a new oral drug formulation created using artificial intelligence, announced in a press release. The trial received approval from the Medicines and Healthcare products Regulatory Agency (MHRA) and is being conducted at the company’s UK facility.
The study will evaluate the safety and pharmacokinetics of the formulation in healthy volunteers. It aims to validate the use of AI for drug product development and demonstrate how AI can accelerate formulation design and decision making.
Quotient Sciences used a machine learning algorithm from Intrepid Labs to support formulation design and optimization. This approach allowed rapid exploration of formulation options and data informed decision making to improve expected clinical performance.
The company described this as the first reported instance of an AI designed formulation entering clinical evaluation. It plans to expand its integration of AI across formulation development and clinical workflows, with further updates expected in the coming months.
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:
More from Life Sciences
Sep 29 University Medical Center Göttingen Adopts MDClone Clinical Data Platform Sep 29 LUNGevity Awards $2 Million for Lung Nodule Risk Studies Sep 28 Deep Longevity to Launch Accrua Telehealth Platform in US Sep 28 United Imaging Intelligence Releases Medical Video AI Framework Sep 28 Orca Dental AI Brings CephX Imaging Tools to Planet DDS Cloud 9Life 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 moreYou may also like
Quantiphi Named Leader in NelsonHall Wealth Management Evaluation
Unisys Publishes AI Evaluation Framework for Drug Repurposing
Casepoint Introduces AI Framework for Legal Workflows
Atman Health Wins ARPA-H Award to Build Heart Failure AI
CluePoints Releases Three AI Tools for Clinical Data Review
Daily AI Brief: the AI news that matters, in your inbox.