Published Insights on Clinical Research & Digital Health Innovation
From clinical trial tokenization to AI-driven patient recruitment, Athena Innovations' published work addresses the most pressing challenges in modern healthcare and pharmaceutical development.
Discover practical strategies, evidence-based frameworks, and forward-thinking perspectives that are shaping the future of clinical research and digital health.

ICON Discusses How AI is Changing Clinical Trial Recruitment and Diversity
In this discussion with Kathleen Mandziuk, Vice President of eClinical Development & Delivery at ICON, we explore the dynamic world of clinical trials. Kathleen offers insights on the persistent challenges of patient recruitment, the revolutionary role of AI and digital tools, and the...

Injecting real-world data into every day clinical trials – RWE and RWD
The past two years have seen unprecedented pressure on healthcare systems, its workers, and clinical research as a whole. COVID-19 has presented the need for rapid clinical trials to support the effort to address not only the original strain of the virus...

Tokenising Clinical Research
We interviewed Kathleen Mandziuk, Vice President of eClinical Development and Delivery at ICON, about the progress made in enhancing research processes with Clinical Trial Tokenisation.
For our cover story, we feature Kathleen Mandziuk, Vice President of eClinical Development and Delivery at ICON.
For our cover story, we feature Kathleen Mandziuk, Vice President of eClinical Development and Delivery at ICON.

Financial Times: The power of clinical trial tokenisation
There has been significant innovation in the way clinical trials are designed and conducted in recent times, with the mainstreaming of decentralised clinical trials just one of the many advances underway. The next level of innovation will come from the ability to combine clinical...

Hydroxychloroquine as Postexposure Prophylaxis to Prevent Severe Acute Respiratory Syndrome Coronavirus 2 Infection : A Randomized Trial
Effective prevention against coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is currently limited to nonpharmaceutical strategies...

IC14 – Predicting Drug Interactions – Real-world Evidence Drug-Drug Interaction (REDDI) Match
This presentation introduces REDDI Match, a real-world evidence solution for predicting drug-drug interactions developed by a multidisciplinary team at ICON (now PRA Health Sciences). The tool leverages secondary data sources...

