“Depending on who you talk to, artificial intelligence (AI) is either a saviour or an enslaver. The concerns range from loss of jobs through to robots running society. However, in the life sciences, the use of AI and machine learning (ML) have created some excitement over their potential applications.”
Our CEO Liesbeth Ceelen shares her expertise in an article recently published in European Biotechnology.
Read the whole article here.
For over a century, the life sciences industry has relied on animal models as the standard for predicting drug safety and effect. But today, the industry faces a harsh reality: over 90% of new drugs that appear safe and effective in animal tests ultimately fail in human clinical trials (see for example Ineichen et al. 2024 [1] and Marshall et al. 2023[2])
Oncology drug development often begins in patients, allowing early safety and efficacy insights. Yet many cancer drugs still fail in the clinic. We validate the target but ignore its context within the tumor microenvironment. This article explores why spatial biology may improve clinical success.
BioLizard has been named “Bioinformatics Innovation of the Year” in the 2025 BioTech Breakthrough Awards. The honor spotlights Bio|Verse® Navigator, a visual analytics workspace that unifies complex R&D data so scientists can decide faster, with confidence.
