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AppliedXL Welcomes Industry Veteran, Former GLG Healthcare Lead and Algorithmic Trader, Ian Koenig as New Chief Revenue Officer
February 15, 2024
Automating Clinical Intelligence: How AI Provides Predictive Insights to Biotech Teams
November 22, 2023
Poll Results: How AI Will Impact Clinical Intelligence
November 6, 2023
Could Irregular Clinical Trial Activity Have Predicted Zuranolone’s MDD Rejection?
September 5, 2023
AI’s Impact on Drug Design, Regenerative Medicine, and Beyond with Stem Cell Expert Dr. Ermelinda Porpiglia
August 28, 2023
Introducing AppliedXL’s AI Brand: Elevating Speed & Transparency in Computational Journalism Through Design
August 14, 2023
Using AI to Improve Decision-Making in Biotech: Insights from MindMed’s Chief Medical Officer
August 10, 2023
Accelerating Biotech Innovation with AI-Powered Early Risk Detection and Clinical Intelligence
August 2, 2023
Building AXL-1: The First Language Model Rooted in Journalism and Designed for Biotech
July 21, 2023
How Feldan Therapeutics uses “kill sheets” to make data driven decisions about clinical development
April 7, 2023
Early signals in Aileron Therapeutic's ALRN-6924 program hinted at struggles for efficacy over a year before negative results
March 13, 2023
Did irregular shifts in clinical trial progression at Flagship’s Repertoire foreshadow the termination of its immuno-oncology program?
February 9, 2023
Why we are building a real-time Information company powered by editorial algorithms
January 1, 2023
Could warning signs in Summit Therapeutics’ clinical trial activity have hinted at bad results months before they were announced?
November 29, 2022
Could early red flags in Takeda’s blood cancer program have signaled the failure of their next potential blockbuster?
November 17, 2022
How hidden signals in public data unveiled turmoil in one of the world’s most valuable biotech startups
August 22, 2022
Did hidden signals in data anticipate bad news for TG Therapeutics' clinical trial for chronic lymphocytic leukemia?
August 15, 2022
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