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✦EvidencePulse™by 2 Minute Medicine3 reportsYou askedtop stroke trials 2026Synthesizing medical evidence...Top 2026 stroke trial results:OCEANIC — ischemic stroke: 6.2% vs 8.4%OPTION* — mRS 0–1: 43.6% vs 34.2%ORIENTAL* — mRS 0–2: 58.6% vs 46.6%*Higher sICH in intervention armsParticipants randomizedNOCEANIC12,327OPTION570ORIENTAL564Ask about guidelines or landmark trials...↑Try EvidencePulse™Ask the evidence. Get the signal.Try it now →
Home AI Roundup

Artificial Intelligence and Real World Data Speed Up Drug Development

byDeepti Shroff
May 27, 2025
in AI Roundup
Reading Time: 2 mins read
Artificial Intelligence and Real World Data Speed Up Drug Development
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Key points:
1. TriNetX is using real world data to reduce clinical trial enrollment time by as much as 40 percent
2. Artificial intelligence models are helping researchers simulate disease progression for smarter trial designs

Artificial intelligence is finally delivering the speed boost clinical trials have needed for decades. TriNetX, a company focused on real world evidence platforms, has been using artificial intelligence and health record data to supercharge patient recruitment and protocol design. On May 10, they reported that one major gastrointestinal study saw trial enrollment times fall by 40 percent, a huge leap in a field where every day counts. The platform works by identifying eligible patients in real time, using data from more than 150 million patient records across global healthcare networks. TriNetX’s digital waiting room matches individuals to appropriate trials and adjusts for factors like diversity and trial complexity. Their artificial intelligence algorithms can also simulate disease trajectories, allowing researchers to design smarter and more adaptive studies from the beginning. This helps prevent costly mid trial redesigns and improves trial retention. For diseases like pancreatic cancer, where timing is critical, this kind of tech could save lives. Clinical trial costs now top 2.6 billion dollars on average for a single new drug, so cutting down even a fraction of that has enormous implications. Researchers also report reduced administrative friction and fewer errors during recruitment. By making clinical trials more agile and inclusive, artificial intelligence may finally be the innovation that helps research catch up with the speed of discovery. TriNetX is proving that artificial intelligence’s value in medicine is not just theoretical, it is operational, measurable, and here now.

FDA approvedFor pancreatic cancer: Rasonque (daraxonrasib), Aug 26, 2026→

Image: PD

©2025 2 Minute Medicine, Inc. All rights reserved. No works may be reproduced without expressed written consent from 2 Minute Medicine, Inc. Inquire about licensing here. No article should be construed as medical advice and is not intended as such by the authors or by 2 Minute Medicine, Inc.

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✦ EvidencePulse™ by 2 Minute Medicine 3 reports You asked top stroke trials 2026 Synthesizing medical evidence... Top 2026 stroke trial results: OCEANIC — ischemic stroke: 6.2% vs 8.4% OPTION* — mRS 0–1: 43.6% vs 34.2% ORIENTAL* — mRS 0–2: 58.6% vs 46.6% *Higher sICH in intervention arms Participants randomizedN OCEANIC 12,327 OPTION 570 ORIENTAL 564 Ask about guidelines or landmark trials... Try EvidencePulse™ Get the signal. Try it now → Physician-trained medical AI by 2 Minute Medicine

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