With the aim of protecting more and more Greek patients, a new product in Cardiovascular Medicine is launched. KERENDIA is now available for patients with CKD & Type 2 Diabetes. Welcome to Bayer Hellas internal Kerendia launch event, focusing on educating & preparing the Sales Team for a successful product promotion in the Greek market. In this event, you familiarized yourselves with the promotional materials & the role plays. This is the first POAP related to a pharmaceutical product. If you received this POAP, you are a True Pioneer in the Web3 space. Bayer is proudly promoting innovative practices. https://www.bayer.com/en/poap-tc

Unter die Haut Urmenschlich. Tief. Am 23. Mai 2023 geht es um die existentiellen Fragen. Schumann, Mendelssohn, Brahms in der Bearbeitung von Aribert Reimann. Die Lieder: ganz sie selbst und doch größer. Tiefer. Eine Übersetzung in eine Vielschichtigkeit, die das junge Aris Quartett auf höchstem Niveau spielt. Die Stimme von Christiane Karg. Berührend. Fast anklagend. Instrumente und Sängerin singen einander zu. Das Publikum wird in den Bann gezogen. Ein tiefgründiger Abend, der unter die Haut geht.

Thanks for for taking the time to complete this survey, It was a pleasure seeing you in Madrid!

Understanding how compounds affect the disease biology of patients, and which potential side effects could be expected, is one of the core challenges in drug discovery. Transcriptomics (RNA-seq) allows us to measure these compound effects via an unbiased readout of gene expression changes. While „conventional“ analysis of RNA-seq data yields insights into individual compound effects and similarities, deeper connections between principles of compound structure and transcriptome effect elude us. Insights into this connection would help us support project teams with data-driven decision making on compounds. In this pilot, we are bringing together a cross-functional team of colleagues from LST, CMD, SyMOL and DS&AI to tackle this challenge and build a toolkit to enable understanding of ​how compound structure relates to complex gene expression patterns​ and to explore common themes amongst structures or shared off-target/general perturbation effects. This toolbox will become the starting point for other efforts aimed at leveraging multi-omics data in understanding compound mechanism of actions. Artwork created using Stable Diffusion.

At Language of Life, LoL, we combine state-of-the-art machine learning models, bioinformatics and expert knowledge to understand and design large biomolecules (RNA, DNA, Proteins), helping deliver the best drug, faster and cheaper, to address our patients’ needs. Our objectives are, 1) Drug the undruggable 2) Target any modality 3) Efficient Dry lab – Wet lab loops 4) Understand Patient & Disease