Hello, Falko. Thank you so much for the excellent questions. Question one, on our CureBeta initiative. I think we are very happy at this stage with the progress of CureBeta and all our cell therapy initiatives. Let me also highlight here that we have increased our portfolio on cell therapies with opening a partnership with UKE on cardiomyocytes and cell therapies for cardiomyocytes. With this, we are at this stage progressing CureBeta on our own platform at full speed. Because the beauty of our own platform is that every technology and everything that we need to progress CureBeta into clinical stage at this stage is anyways happening on Evotec's platform. So independent of who would be our partner, the cells would anyways have to be made at Evotec and also scale up here would anyways have to be made at Evotec. The next piece of information, which is absolutely relevant here is that the commercial scale up process for these cells will be made within Evotec, namely just Evotec Biologics platform. So also here we see the full synergy of the platform and CureBeta as a project, which is gaining momentum every day. We are in discussion at this stage with pharma partners, and we are in discussion with venture partners, where we are considering all options at this stage, and we continue to do so which is either giving out a license, or creating a company, or keeping the project into combining it with other initiatives like the cardio initiative, still a bit longer on our platform. We have the full R&D funding behind that. And that's also I think, why we want to have the optimal solution for this project, and not only a short-term solution for the project. But most importantly, all data that has to be generated is going at full speed, and actually going very well. When it comes to monetization of data, I think we are already in the middle of it. And why do I say this when you look, for example, at recently announced partnerships with Novo Nordisk, or with Chinook Therapeutics, where the starting point for these partnerships is really coming from the data mining that we can do by accessing, for example, our NURTuRE database for kidney diseases. And that's really where the starting point of such a drug discovery partnership is so early, that we are really starting together with our partners to mine the data and from their own starts to define drug discovery starting points that we then define the path forward for the molecules. And for example, that we were able to generate significant upfront for these partnerships, which fortunately didn't disclose, but is very relevant shows you that the pure data generation and data analytics that we can provide behind NURTuRE, for example, allows us to monetize this capability within Evotec and that's just the beginning, again, of what you will see not only out of NURTuRE, but also other disease areas where we have started to build these data sets. And most importantly, where the tools, so panHunter and panOmics tools are basically exercised and trained and getting better every day. And, for example, our recent expansion into liver diseases is here a very important point, because I don't know of any other company that has such an unbiased well structured and with data generation and also analytics tool platform available like Evotec at this stage. So that's why this is really for us not only long-term, but also high value activities that we are providing here. When we monetize that is not that relevant, because this data becomes more valuable every day the more we put data behind also drug discovery targets and make them better. Your third point on our equity portfolio, one company in there is Exscientia which is progressing extremely well. Let me highlight that we have a joint venture with Exscientia where an a2a antagonist is -- has entered into the clinic, which was really built together and then very fastly on our platforms and their platforms progress to clinical stage. So here you see the synergistic use of their technologies and our technologies which is ongoing on multiple fronts. So also here is an operational synergy behind the investment, which again is happening on multiple fronts. And of course there's also financial interest because we are a key shareholder in Exscientia, which is also long-term, I think a very valuable investment for our shareholders. With this, let me also not be here incomplete. What you should also see is that all machine learning in AI tools, are of course, at Evotec, fully in swing and we are building this more comprehensively than many other companies can ever do this because we can fully integrate this into multiple projects. And, I mean, we are very pronounced on the power of HAL, so our J.HAL machine learning tool, because here creating antibody libraries with AI and machine learning tools is really fascinating to see how efficiently we can here with in vitro tools go much faster and with in silico tools go dramatically faster than we have ever thought. And that's why we are applying and generating AI and machine learning tools in small molecules, large molecules, also on our own platform and bring this into our partners. Sorry, again, a too long answer for three short questions. With this, best regards to you Falko.