News

NIAID releases additional data validating BenevolentAI’s hypothesis for baricitinib as a treatment for COVID-19 patients in large-scale randomised control trial

BenevolentAI, the leader in the application of AI and machine learning to re-engineer drug discovery and development, is pleased to report additional positive data has been released from the large scale randomised ACTT-2 clinical trial, sponsored by the National Institute of Allergy and Infectious Diseases (NIAID). 

The latest data provides a more detailed analysis of the improved clinical outcomes of hospitalised COVID-19 patients taking baricitinib. This data further validates the AI-derived hypothesis of baricitinib as a treatment for COVID-19, first published by BenevolentAI in The Lancet on February 4, 2020. 
The key findings showed:

  • Odds of improvement in clinical status at day 15 were 30% greater in patients being treated with baricitinib in combination with remdesivir, compared with remdesivir alone (statistically significant). 
  • The largest benefits were observed in patients requiring supplemental oxygen and those needing high-flow oxygen/non-invasive ventilation.
  • There was a 35% lower mortality rate overall in the group taking baricitinib (5.1% vs 7.8%), but the separation was not statistically significant.
  • The reduction in mortality was more pronounced for patients receiving oxygen, as mortality at Day 29 was 60% lower for those on supplemental oxygen, and 43% lower for those on high-flow oxygen/non-invasive ventilation.
  • As previously reported, the trial met the primary endpoint of reducing time to recovery (discharge from hospital) by one day compared to remdesivir alone, which is statistically significant. 

The ACTT-2 randomised control trial included more than 1,000 patients and began on May 8 to assess the efficacy and safety of baricitinib plus remdesivir versus remdesivir in hospitalised patients with COVID-19. No new safety signals were observed for baricitinib-treated patients in this study. 

NIAID authors are working to have the full analysis completed, and a peer-reviewed manuscript will be made available soon.



Media enquiries

Rajin Kang

rajin.kang@benevolent.ai 


Note to editors: Baricitinib is approved for the treatment of rheumatoid arthritis and other diseases.  It is administered orally and has been used to treat COVID-19 patients in more than 14 clinical trials worldwide including the randomised clinical trials by the NIAID and Eli Lilly. BenevolentAI’s research on baricitinib as a treatment for COVID-19 has been published in The Lancet, The Lancet Infectious Diseases, and EMBO Molecular Medicine

About BenevolentAI (www.benevolent.com)

BenevolentAI creates and applies AI and machine learning to transform the way medicines are discovered and developed. Benevolent integrates its technology into every step of the drug discovery process, from hypothesis generation to early-stage clinical development. BenevolentAI is headquartered in London with a research facility in Cambridge (UK) and further offices in New York. BenevolentAI has active R&D drug programmes in disease areas such as ALS, Ulcerative Colitis and Sarcopenia and has research and commercial collaborations with AstraZeneca and Novartis.


More Posts

You Might Also Like

Video
Data & Digital Innovation for Climate & Health
Joanna Shields, CEO BenevolentAI, joined the Wellcome Trust Panel at the World Economic forum to discuss opportunities for data and digital innovation to impact positively climate and health.
Jan 26, 2023
News
BenevolentAI submits CTA for BEN-8744, an oral PDE10 inhibitor, as a first-in-class treatment for ulcerative colitis
BenevolentAI submits clinical trial application for BEN-8744, with a Phase I clinical trial planned for H1 2023.
Dec 21, 2022
News
BenevolentAI to present at 41st Annual J.P. Morgan Healthcare Conference
BenevolentAI ​​(Euronext Amsterdam: BAI), a leading clinical-stage AI drug discovery company, announces that it will participate in the upcoming 41st Annual J.P. Morgan Healthcare Conference in San Francisco, US from 9-12 January 2023.
Dec 1, 2022
Blog
FAIR Data Foundation: An Enabler for AI Drug Discovery
Biomedical data used in AI-enabled drug discovery should adhere to the FAIR Data Principles — Findability, Accessibility, Interoperability and Reusability. This blog explains why this is, how one can make data FAIR and challenges that remain.
Nov 8, 2022
News
BenevolentAI to present at Jefferies Investor Conference in November
BenevolentAI’s Investor Relations and Business Development team will be attending the Jefferies Healthcare London conference, with Nick Keher, CFO, presenting on Thursday 17th November.
Nov 4, 2022
News
BenevolentAI achieves further milestones in AI-enabled target identification collaboration with AstraZeneca
Two additional AI-generated novel targets selected by AstraZeneca for its drug development portfolio, resulting in two milestone payments for BenevolentAI.
Oct 6, 2022