October 15, 2024, 10:23 AM EDT
(Published in the October 2024 issue of globalforum.diaglobal.org)
(Published in the October 2024 issue of globalforum.diaglobal.org)
(Originally aired October 1st on Clinical Research News Online)
(Published in the Summer 2024 edition of International Clinical Trials)
(Originally published on August 7th 2024 on Forbes Technology Council)
(Originally published on July 24h on Trial Site News)
(Originally published on July 18th on The Clinical Trial Vanguard)
By Kelly Bilodeau (Originally published July 8th on PharmaVoice)
(Originally published June 2024, volume 38, Issue 3 on ACRP)
(Originally published May 3rd on Applied Clinical Trials)
(Originally published May 29th on Slice of Healthcare)
This webinar presentation focuses on leveraging AI and data analytics to address challenges in clinical trial feasibility, particularly for rare disease trials. Gain insights from Rohit Nambisan, of ...
(Originally published May 2nd on Applied Clinical Trials)
(Originally published May 1st on BioSpectrum Asia)
(Originally published May 1st on Applied Clinical Trials)
(Originally Published April 29th, 2024 on Forbes)
By Kelly Bilodeau (Originally Published April 18th, 2024 on pharmavoice)
By Andrew "AJ" Mills (Originally Published March 24th, 2024 on pharmaphorum)
Embarking into the new frontier of clinical research, rare diseases, niche indications and limited resources for small study teams will increasingly become the norm. As challenges increase, AI will...
Everything about AI in Life Sciences, we learned in Kindergarten
A Reflection of 2023 in Clinical Research By Rohit Nambisan In many ways, 2023 was a banner year for patients – the FDA approved 55 new medications, the most in five years – including the first ...
During this presentation, hear industry leaders Alana Miller, Daniel Perez, and Rohit Nambisan explore innovative ways to leverage AI and ML technologies to optimize your study enrollment and ensure...
Introduction In Clinical Trials, buzzwords like "artificial intelligence," "machine learning," and "predictive analytics" are common industry terms that can be confusing without a comprehensive...
Imagine being able to predict the future of clinical trials. What if you could foresee the outcomes of your trials, understand the potential roadblocks, and strategize accordingly? On May 16, we took...
Investigating the truth behind a common industry myth that may help predict enrollment performance
Investigating the truth behind a common industry myth that informs enrollment decisions
Reimagining study management to preserve quality and choice
Lokavant’s mission is to leverage predictive analytics to effectively plan and execute trials.