Cellima Talks I

Machine learning for improved image analysis in R&D

In this interview, Philip Kainz, CEO of KML Vision, talks about the development of analysis tools for scientific research.

He describes how machine learning algorithms efficiently support scientists in pattern recognition. He shares his journey from computer scientist to co-founder of KML Vision, a company dedicated to bringing ML solutions to those without the technical knowledge or resources.

Philipp talks about the differences between working with academics and the pharmaceutical industry. Finally, he explains the advantages of DeepL & ML technology over traditional image analysis methods. How these new, future-oriented tools can be successfully used for both prospective and retrospective data analysis.

Join us for an engaging conversation with Philipp Kainz as we explore the latest trends and challenges in AI-driven image analysis for research and development.

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Marc Bickle

Deep Phenotyping And AlphaFold

Marc Bickle discusses how Deep Phenotyping and AlphaFold are transforming early-stage drug discovery. Learn about cutting-edge technologies that enhance precision in oncology and neurodegenerative research, offering new insights and accelerating the development of personalized therapies through advanced AI-driven methods and high-content imaging.

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Thomas Müller

Guardians of Health

Thomas Müller, a distinguished scientist with over 30 years’ experience in ion channel research, talks about his journey from studying biology in Heidelberg and Glasgow to leading high-throughput screening at Bayer, where he’s been at the forefront of scientific innovation. In this enlightening session, Thomas shares his remarkable journey and delves into the fascinating world of ion channels.

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Niranj - CELLIMATALKS-IV

The Power of Cell Painting & AI

Want to explore the groundbreaking intersection of cell biology and artificial intelligence in drug discovery? I was delighted to have the opportunity to discuss this topic with Niranj Chandrasekaran of the BROAD Institute on January 12, 2024. In this interview, we discussed the transformative role of cell painting and KI technologies in advancing drug discovery.

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Future Prospects of High-Content Imaging