Diaceutics Partners with Cornerstone AI to Elevate Laboratory Data Quality
Collaboration addresses fragmented lab data to enable faster, clinically relevant insights for pharmaceutical innovation

Podcast: Cornerstone AI’s Mike Elashoff on using AI to produce high quality data in healthcare
Co-founder and CEO, Mike Elashoff, is featured in this episode of Forward. Dawn and Mike talk about the challenges healthcare organizations face managing their data, what new requirements to data are introduced by AI, how Cornerstone applies machine learning technologies to address these challenges, and what best practices organizations can implement to improve data management.

Cornerstone AI Raises $5 Million Seed to Solve Healthcare’s Data Problem
Cornerstone’s Enterprise platform launches to unlock the power of clinical data in a fraction of the time of traditional methods

How Cornerstone AI is making data ‘right’ for healthcare industry
San Francisco-based company Cornerstone AI, has launched a solution that automatically characterizes, harmonizes and cleans healthcare data in a fraction of the time taken by traditional methods. The company also announced it has raised $5 million in seed funding…

“Your slides are good, but you should change them all.”
The ideas became a product, and the product became a company….
We don’t know all the hurdles we will encounter, but we are confident that the partnership with Initiate Studios will help us navigate them successfully.


Real World Data (RWD) and Real World Evidence (RWE)
The growing trend throughout healthcare is the usage of Real World Data (RWD) to help develop new drugs, build Artificial Intelligence tools, and study patient populations is undeniable and is transforming all aspects of the healthcare industry. The FDA has even issued guidance on how to best leverage RWD to aid in drug discovery and monitor post market safety and adverse events for drugs. So what exactly is real world data and what does all of this mean for healthcare?