insights

Insights and articles from the world of life sciences with a focus on current topics in high content imaging, cell biology and pharmaceutical research.

Thomas Müller

Guardians of Health

Join us for an exclusive conversation with Thomas Müller, a distinguished scientist with over 30 years of experience in ion channel research. From his early days studying biology in Heidelberg and Glasgow to leading cutting-edge high-throughput screening at Bayer, Thomas has been at the forefront of scientific innovation. In this insightful session, Thomas will share his remarkable journey and delve into the fascinating world of ion channels.

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Respondents

HCI 2024 – Prospects

In order to better describe the current state and future prospects of High-Content Imaging, a market survey was conducted among researchers and organizations involved in early drug discovery worldwide.

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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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David-Philipp-CELLIMATALKS-III

AI Tools In Pharmaceutical Research

Join us for an exciting discussion on the use of specialized AI tools in early drug discovery. David Egan, CEO of Core Life Analytics and Philipp Kainz, CEO of KML Vision discuss the use of the latest developments in the field of advanced machine learning and deep learning.

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Eugenio Fava

Drug Discovery in Early Research

Eugenio Fava, an accomplished scientist known for his passion and deep expertise in neuroscience and drug discovery, will share his insights into the drug discovery process, providing insight into the strategic approaches essential to understanding diseases, identifying key targets, and developing effective drugs using cutting-edge technologies.

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Future Prospects of High-Content Imaging