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CELLIMA TALKS Stefan Prechtl
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- Wissenschaft
Welcome to CELLIMA TALKS, the podcast that explores the fascinating world of cell biology, high-content imaging, machine learning and early drug discovery.
In this podcast series, we take you through the latest developments in cell biology, including innovative high-content imaging techniques that allow researchers to study cells in unprecedented detail. We look at the role of machine learning and artificial intelligence in analysing large datasets from cell research, and how they are revolutionising our understanding of cells and their behaviour.
We also explore the exciting world of early drug discovery, where molecular discoveries are made that form the basis of new drug development. We'll talk to experts, scientists and researchers at the forefront of these fields and learn how their work is transforming our understanding of cellular processes and disease.
Whether you are an interested listener or an expert in the field of cell biology, CELLIMA TALKS will provide you with interesting insights into the world of cells and related research.
We invite you to join us on a journey through the world of cell biology and medical research.
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The Power of Cell-Painting and AI in Pharmaceutical Innovation
The Power of Cell-Painting and AI in Pharmaceutical Innovation
Discover the fascinating world of CP & AI in drug discovery!
In this session, Stefan Prechtl joins Niranj Chandrasekaran from the BROAD Institute to discuss the innovative convergence of cell biology and artificial intelligence in drug discovery. Learn more about how cell biology and AI technologies are transforming the research field and changing our approach to drug discovery.
The webinar was recorded on Friday, January 12, 2024 and offers unique insights from a leading expert in the field. Whether you are a researcher, student, or simply curious about the latest developments in pharmaceutical research, this is your opportunity to gain valuable knowledge.
Listen to the full conversation and follow along with the insightful discussion.
We appreciate your interest in this topic and hope you enjoy the insights from this interview!
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Machine learning for improved image analysis in research and development
In this interview, Philip Kainz, CEO of KML Vision, talks about the development of analysis tools for scientific research.
https://www.kmlvision.com/about-us/#team
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.
He talks about the differences between working with academics and the pharmaceutical industry.
Finally, he explains the advantages of KI technology over traditional image analysis methods. How these new, future-oriented tools can be successfully used for both prospective and retrospective data analysis.
You can also watch the interview on Youtube:
https://www.youtube.com/live/1BjC-wffe4Q?si=R-JRVe5oalj2orFT
#machinelearning #research #academia #industry #artificialintelligence #cellima #imageanalysis #algortihms
https://www.cellima.com
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AI Tools In Pharmaceutical Research
🔬 On November 14th
I had an exciting discussion on the use of specialized "AI tools in early drug discovery" with David Egan, CEO of Core Life Analytics, and Philipp Kainz, CEO of KML Vision.
We discussed the use of the latest developments in advanced machine learning and deep learning research that have the potential to significantly enhance research efforts in early drug discovery. In addition to all the opportunities and benefits that these modern AI tools bring, we will also and most importantly address the inflated expectations, exaggerated fears, and drawbacks that this modern approach also brings.
🧠 Learn how to get the most out of your data with the safe use of AI tools.
📺 This was a live streaming event. The recording of the talk is now also available as this podcast.
Enjoy the show, Stefan
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Drug Discovery in Early Research
CELLIMA TALKS II:
Eugenio Fava talks about "Drug Discovery in Early Research".
Eugenio Fava is an enthusiastic and experienced scientist with a deep knowledge of neuroscience and drug discovery. In the CELLIMA TALKS series, Eugenio will bring drug discovery closer to us.
https://www.dzne.de/forschung/core-facilities/
Strategic drug discovery requires a fundamental understanding of the disease in order to identify critical targets and develop efficient chemical entities using novel technologies. Among other topics, we will discuss the role of academic institutions in drug discovery versus pharmaceutical companies.
We will talk about the current challenges researchers face when looking at the entire process. We will also discuss current hot topics such as the importance of using artificial intelligence in drug discovery, the use of 3D cell models, stem cell technologies or single cell applications in drug screening.
I look forward to the discussion with Eugenio Fava and invite you to join us.
Here is a link to the recorded video of the webinar on YouTube:
https://youtu.be/ewXYr8EodmY?si=Ci-5Gt8c60NlUBUw
#cellima #highcontentimaging #drugdiscovery #research #ai #deepl #machinelearning #organ-on-a-chip #3dcell
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