What does 2025 Hold for Biopharma? Insights and opportunities.

BioLizard CEO Liesbeth Ceelen shares insights in Scrip Asks 2025 by Citeline, highlighting the growing need for robust data strategies and AI-driven insights to navigate funding, partnerships, and innovation in the evolving biopharma landscape.

Full article published in: Citeline

Each year, Scrip asks over 30 prominent biopharma executives, including our CEO, Liesbeth Ceelen, to gain insights on how funding, M&A, and partnerships are expected to shape the industry in the coming year.

We understand the vital role of robust data strategies in navigating this evolving landscape.
As our CEO, Liesbeth Ceelen, highlights:

“In today’s challenging investment landscape, biotech companies must rigorously validate their science and data to de-risk clinical trials and obtain insights into a broader range of applications for their therapeutic approaches. Leveraging insights from both public and proprietary information is no longer a luxury, but a necessity for attracting momentum, the need for precise, actionable insights has never been greater.”

This focus on data and validation aligns with broader trends, including the rise of partnerships across biopharma, academia, and technology sectors. With innovative approaches like AI-powered drug discovery, gene editing, and radiopharmaceuticals gaining momentum, the need for precise, actionable insights has never been greater.

At BioLizard, we’re proud to partner with life sciences companies to unlock the full potential of their data and drive impactful outcomes. Together, we can shape the future of biopharma.

The Business of AI in Biotech: Why biotech is moving beyond the chatbox

The Business of AI in Biotech: Why biotech is moving beyond the chatbox

AI has quickly become part of everyday biotech research, helping scientists navigate information, write code and make sense of complex data. But chat-based tools have their limits. They can provide answers and guidance, but they cannot always do the actual scientific work. As biotech moves beyond the chatbox, the next step is putting AI to work directly within research workflows.