What is evidence?
In scientific research, evidence is the bedrock of all credible knowledge. It is built on empirical data and observations, meticulously gathered through experiments, measurements, and analyses. But for evidence to hold scientific weight, it must be reliable, reproducible, and free from bias.
Over the past 50 years, the process of generating evidence has evolved dramatically—especially in medicine. Here, accuracy isn’t just a target; it’s an absolute necessity. Mistakes in medical research can have serious consequences, which is why the field enforces some of the most rigorous scientific standards to guarantee reliable results.
In many research fields, there’s often a trade-off between speed and precision. But in medicine, minimizing risk and bias isn’t optional—it’s vital to protecting patients.
Use cases
Faster and More Accurate Analysis of Research Data
EVA is developing an advanced AI engine capable of automatically extracting key information from scientific studies with 95% accuracy, including data on patient groups, treatments, and outcomes. It also correctly assesses research quality in 9 out of 10 articles.
Faster Assessment of New Treatments and Drug Repurposing
By leveraging AI, we can calculate a relevance score to determine how effective a treatment is for a new disease—an analysis that typically takes four months manually but only one week with AI.
Detecting Hidden Side Effects
AI can analyze thousands of potential correlations between drugs and side effects within one week—a process that is currently impossible using traditional methods.
