We are drowning in data but starving for insight. Every day, the biomedical literature grows by thousands of new publications. Clinical trial databases expand. Real-world evidence accumulates. Adverse event reports pile up. And somewhere buried in all of that noise…
The White House just released the Genesis Mission, outlining a coordinated national effort to advance science, technology, and AI. It aims to identify major challenges across key domains and mobilize federal, academic, and private-sector capabilities to address them. A core…
Malignant Pleural Mesothelioma is one of the most difficult cancers to treat. Its biology is driven by inflammation, fibrosis, and a highly suppressive tumor environment. This makes it an important target for new ideas. Using our AI-powered drug repurposing platform…
This is one of the most common questions we receive when we talk about building knowledge graphs directly from PubMed. Every researcher knows that not all papers agree: one study might report a positive correlation between two entities, while another…
In a previous post, I mentioned that the information hidden in PubMed literature far exceeds what’s available in public databases. Here’s a concrete example from our earlier work — a drug repurposing study for COVID-19 (Nat Mach Intell 7, 602–614…
Most biomedical knowledge graphs today are built from public databases, but few realize how incomplete these sources are compared to what’s published in PubMed literature. We recently compared our AI-extracted knowledge graph IKraph with 40+ public databases. The results were…
Several years ago, our team developed iSearch, a product from a project aiming to develop a deep learning–powered search engine for biomedical literature. You can still access it today at biokde.insilicom.com. At that time, we were thrilled by the results.…
