Welcome back to another episode of Beyond the Patterns.

And today we want to have a look at a bit of introduction into systems biology and into

the engineering of cells and exploring these effects with bioinformatics methods.

So our speaker today is Xin Lai.

He is a research fellow at the University Clinic of Erlang Nürnberg.

He obtained his doctorate in systems biology at the University of Rostock in 2013.

His research makes use of methods from bioinformatics and bioinformatics in order to analyze biological

data.

He developed and proposed systems biology approaches to identify therapeutic microRNA

in cancer.

His interests broadened into human genomics, network biology, and computational modeling

through lecturing and from tutoring, engineer and medical students from primary research

papers.

More than 10-year collaboration with experimental researchers led him to realize the importance

of systematic and integrative overview of biomedical research.

As a researcher, he is now using his perspective to conduct research in medical systems biology.

So it's a great pleasure to introduce Dr. Xin Lai and his presentation today is entitled

Network and Systems-Based Reengineering of Dendritic Cells with MicroRNAs for Cancer

Immunotherapy.

Xin, the stage is yours.

Okay, thank you, Andreas.

Thank you very much for having me here.

So as Andreas introduced, I'm a systems biologist.

So I use both computational methods and experimental methods to study the microbes in cancer.

So yeah, a bit summary about my research.

So I'm a systems biology researcher.

I have been working on biomedical topics with different scales, such as data analysis, mathematical

modeling, and network biology.

So I develop and employ methods from biopharmatics and biomathematics to analyze biomedical data

with particular interest in non-coding RNA in cancer, this microRNA you will hear about,

and also bacterial non-inflammation.

So here are some of these publications that are important for my scientific career.

And for more information about my research, you can find me on ResearchGate.

So in my academic career, I have been collaborating a lot with excellent researchers, and I realized

the importance of having a systematic and integrative overview of the biomedical research.

So I always propose to use this systems biology approach to perform systematic, quantitative,

and reproducible research.

So this is probably the very important thing for biologists and experimentists.

So this approach usually starts from the biologic data, for example, the omics data or the

published data in the database, and then you have to curate this data.

And afterwards, you analyze those data using different methods, like a mathematical modeling

method and network biology methods or biopharmatics methods.

Of course, some methods I use are also machine learning.

So but today I'm not going to print anything about machine learning, and you're more experts

on that.

Yeah.

And the results from those analysis are usually used to generate a hypothesis and or design

new experiments for validation.

And based on validation, we can get knowledge about the molecular mechanism of human diseases,

or we can even identify some biomarkers or therapies for diseases such as cancer.