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.
Hosted on Acast. See acast.com/privacy for more information.
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.
Hosted on Acast. See acast.com/privacy for more information.
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
Hosted on Acast. See acast.com/privacy for more information.