Yes, thank you so much. To go a bit more into detail here, what one of the key aspects of this BRIDGEs really is to on the [indiscernible] costs, create data points as fast as possible and as unbiased and valid as possible. So with this the whole principle of these BRIDGEs is to create first, a blueprint, which is always the same blueprint and then create as much speed as possible with as little complication for rights as possible to come to a data point, which then gives you valid information about what should be the next step. Why do I say this, because the initial experiments that within BRIDGE project are made are typically very small first experiments. So these are typically validation experiments of academic trials that have already happened, where academic data points that have already happened. If you know here, that less than 50% of all academic experiments can be fully repeated on industrial platforms you already see that it would be a real waste to invest too much into IP protection, into licensing arrangement, into co-ownership arrangements, if you have not done the experiment first. So that's one principle here. The second principle is that there is a license then happening from the academic institution into the BRIDGE. But there are no rights to any pharma partner, even if the pharma partner would be a funding partner. But of course, the partners that are there with us have the benefit of being in the flow of information, and with this having a good discussion and a good flow of information of many of these projects, which then can lead to either venture capital formations, which we, for example, have done with a company called Dark Blue [ph], where we put several individual assets out of BRIDGE projects together into a focused company in the field of oncology then, where they can directly go into licensing transactions, which we have not shown yet, but which will also come in the future, where they can basically be projects that are simply failed on [indiscernible] costs, and then nothing has happened, which is the beauty of this BRIDGE construct. And that's why again, it is the most capital efficient translational tool in the industry. And what is the beauty -- really the beauty is that every academic partner, all of a sudden can do the experiment on the exact same platform where his ultimate exit will take place. Because Evotec is working at this stage with 20 out of the top 20 pharma companies. And of course with this experiment done on Evotec platform is already a validated data point for every future potential acquirer or licensor of such a product. And that's why here diligence of the validity of data basically falls away and gives a lot of basically momentum in a positive way for this project. So that's really the BRIDGEs in more detail. And again, you will see more of that.