ENPICOMHarnessing AI/ML in biologics discovery: Overcoming adoption challenges
The rapid advancement of AI/ML technologies is transforming the pharmaceutical industry, especially in biologics discovery. AI/ML holds the promise of accelerating discovery cycles, reducing costs, and improving therapeutic outcomes. However, widespread adoption is hindered by challenges such as fragmented data, inefficient model integration, and complex workflows.
In this presentation, we explore these obstacles and demonstrate how the ENPICOM Platform effectively addresses them. Built on a robust data foundation and flexible pipeline orchestration, the ENPICOM Platform seamlessly integrates AI/ML models directly into the discovery and optimization workflows. This enables organizations to fully harness the power of AI in biologics discovery, turning cutting-edge technology into practical, impactful solutions.
Meet the speaker
Dr. Nicola Bonzanni co-founded ENPICOM to bridge the gap between life sciences and technology, empowering researchers with advanced computational tools. His expertise spans computational biology, NGS data analysis, and molecular biology, driving the creation of state-of-the-art software solutions that enhance biologics discovery and AI integration.
Dr. Nicola Bonzanni
Founder and CEOTrusted by industry leaders
