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FDA’s New AI Guidance for Drug Development
From the FDA: AI in drug development is now operational, and must be designed with rigor, transparency, and human oversight.
Jin Kim
January 25, 2026
•
5
min read
Resources
2025 Year in Review
In 2025, Miracle helped biopharma teams gain real-time insight to run trials at scale.
Jin Kim
December 23, 2025
•
5
min read
Resources
From Insights to Action: How Study Teams Use Real-Time Alerts in Miracle to Stay Ahead (Part 2)
The future of clinical trial oversight isn’t better alerts in one system; it’s alerts that reason across all of them.
Stuti Vishwabhan
December 15, 2025
•
5
min read
Resources
From Reactive to Proactive: How Real-Time Alerts in Miracle Keep Clinical Trials on Track
This article introduces Miracle’s Real-Time Alerts, a new capability that gives clinical trial teams instant, customizable visibility across all their data, overcoming disconnected systems, static thresholds, and alert noise, to enable proactive, data-driven oversight and faster decision-making.
Stuti Vishwabhan
October 25, 2025
•
5
min read
Resources
Podcast: Jin Kim on the Future of Clinical Trial Operations
Jin Kim joins cc: Life Science to discuss how Miracle helps biotech teams accelerate clinical trials by turning siloed data into real-time operational insights, and why strong data infrastructure matters more than AI hype.
The Miracle Team
July 9, 2025
•
2
min read
Resources
Highlights from 2025 CMO Summit: Driving Faster, More Efficient Clinical Trials
Faster trials, better outcomes: Key insights from the CMO Summit on accelerating clinical success.
The Miracle Team
April 14, 2025
•
5
min read
Resources
Accelerating the Path to Data Readout: How Continuous Data Cleaning Saves Time and Cost
Continuous data cleaning shortens data readout timelines and cuts costs for clinical trial sponsors.
Jin Kim
January 25, 2025
•
5
min read
Resources
A Year in Review 2024: How Miracle is Transforming Clinical Trials
Reflection on how Miracle has been empowering biotech clients on clinical trials.
Jin Kim
December 17, 2024
•
5
min read
Resources
Optimizing Study Enrollment Closeout in Clinical Trials: Minimizing Overshoot and Delays
Optimize enrollment closeout with data-driven strategies to minimize overshoot, reduce costs, and keep clinical trial timelines on track.
Jin Kim
August 28, 2024
•
5
min read
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