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AI in biotech: Fashioning the future of R&D and IP

AI in biotech: Fashioning the future of R&D and IP

AI is reshaping biotech R&D, offering powerful insights from complex data while raising key IP protection questions. Experts from BioLizard and Gevers shared how to build AI-ready data, use AI iteratively, and balance patent vs trade secret strategies to secure innovation.

The future of multi-omics data analysis

The future of multi-omics data analysis

Multi-omics is shaping the future of biomedicine, fueled by new technologies, machine learning, richer datasets, and clinical integration. As data grows in scale and diversity, AI-powered platforms like BioLizard’s Bio|Mx will drive discovery, precision medicine, and better decision-making.

5 tips for getting the most out of your multi-omics data

5 tips for getting the most out of your multi-omics data

Multi-omics offers deep biological insight, but success depends on smart planning, platform choice, quality control, proper integration, and powerful visualization. With expert guidance and tools like Bio|Mx, your data can fuel discovery and drive impactful decisions.

Multi-omics analysis: Why and when to go beyond single omics?

Multi-omics analysis: Why and when to go beyond single omics?

Multi-omics reveals what single omics can’t: uncovering deeper biological interactions, boosting prediction power, and accelerating discovery. From chronic disease insights to target validation using public data, BioLizard turns complex datasets into actionable breakthroughs.

BioLizard and Parean Biotechnologies announce partnership

BioLizard and Parean Biotechnologies announce partnership

BioLizard partners with Parean Biotechnologies to advance immune omics insights. Parean’s cutting-edge immune system decoding complements BioLizard’s AI-driven analytics, enabling deeper insights from complex immunological datasets to drive R&D forward.

Spatial transcriptomics and its added value

Spatial transcriptomics and its added value

Spatial transcriptomics bridges the gap between gene expression and tissue context by mapping transcripts to their exact location. By revealing cell interactions, microenvironments, and spatial gene patterns, it provides powerful insights, especially when paired with scRNA-seq.

BioLizard joins Da’s Geniaal consortium

BioLizard joins Da’s Geniaal consortium

BioLizard has joined the Da’s Geniaal consortium, supporting its mission to inspire 10–14-year-olds—especially girls—to explore science and technology. This partnership aligns with BioLizard’s commitment to sustainability, diversity, equity, and inclusion.

BioLizard’s AI expertise highlighted in European Biotechnology

BioLizard’s AI expertise highlighted in European Biotechnology

BioLizard CEO Liesbeth Ceelen shares her insights on AI in life sciences in European Biotechnology. The article explores how AI and machine learning can accelerate research and innovation, while addressing concerns around job impact and broader societal implications.

New LLM-based applications developed at the BioLizard Innovation Hackathon

New LLM-based applications developed at the BioLizard Innovation Hackathon

At BioLizard’s first Innovation Hackathon, teams of “Lizards” developed four LLM-based applications in 24 hours, including an AI-generated personalized research newsletter. The event showcased rapid AI-to-practice innovation and strengthened skills for future life sciences applications.