Thousands of medical artificial intelligence models demonstrate remarkable accuracy in laboratory settings, yet very few have successfully made the leap into the complex, dynamic environment of a real-world hospital. This persistent gap between potential and practice highlights a fundamental
I'm Ivan Kairatov, and for years, my work has been centered at the intersection of biotechnology and engineering, specifically focusing on how we can bridge the gap between the human brain and external technology. The progress we're seeing in brain-computer interfaces, or BCIs, is nothing short of
A bacterial infection that is considered treatable in a New York hospital could be diagnosed as dangerously resistant in a Berlin clinic, a discrepancy rooted not in biology but in the conflicting rulebooks used to interpret the same scientific data. This global inconsistency is quietly undermining
As a Biopharma expert at the forefront of tech and innovation, Ivan Kairatov is revolutionizing how we study the human brain. His work focuses on developing advanced, human-relevant models known as brain microphysiological systems to enhance the safety of chemical and drug testing. In our
In the persistent global battle against obesity, a new front has opened that shifts focus from the brain's appetite signals to a previously hard-to-study type of fat tissue within our own bodies. Insitro, a therapeutics company leveraging artificial intelligence for biological discovery, has
The rapid evolution of technology is fundamentally reshaping the landscape of scientific research and development, compelling a critical departure from the manual, paper-based laboratory practices of the past toward an integrated, automated, and digitally-native ecosystem. This paradigm shift,
