Driving smarter AI-powered drug discovery with Lab-in-the-Loop

As AI becomes more deeply embedded in drug discovery, Lab-in-the-Loop is emerging as a practical approach for connecting computational predictions with experimental validation through an iterative feedback loop.

In this white paper, we spoke with Dr. Philip Gribbon, Head of Discovery Research at the Fraunhofer Institute for Translational Medicine and Pharmacology (ITMP), about the practical considerations for implementing Lab-in-the-Loop and building confidence in AI-driven discovery decisions.

Read the white paper to gain expert insights from Dr. Philip Gribbon on:

• Integrating AI into drug discovery workflows to support better experimental decisions
• Building the Lab-in-the-Loop infrastructure for connected, data-driven discovery
• Establishing confidence in AI predictions through robust data and experimental validation
• Overcoming challenges in implementing Lab-in-the-Loop

For research use only. Not for use in diagnostic procedures.