structural biology

bAIome Center for biomedical AI (UKE) and Bernhard Nocht Institute for Tropical Medicine (BNITM) will host the seminar series entitled “AI in biology and Medicine”. This series aims to capture a broad audience and promote cross institutional collaboration. Our expert speakers will give an overview and insight into particular AI/data science methods being developed in key areas of biology and medicine. We will have drinks and snacks following each seminar to facilitate exchange.

René Werner, Institute for Applied Medical Informatics, UKE

For further details and hybrid links, please go to the webpage AI in Biology & Medicine

bAIome Center for biomedical AI (UKE) and Bernhard Nocht Institute for Tropical Medicine (BNITM) will host the seminar series entitled “AI in biology and Medicine”. This series aims to capture a broad audience and promote cross institutional collaboration. Our expert speakers will give an overview and insight into particular AI/data science methods being developed in key areas of biology and medicine. We will have drinks and snacks following each seminar to facilitate exchange.

Marina Zimmermann, professor of computational pathology (UKE) will speak about the gap between research and clinics and the factors that contribute to this, such as the focus on reproducing subjective scores and the large variance in performance depending on the data source. She will look into overcoming subjective scores by introducing objective endpoints, as well as developing quantifiable and objective metrics based on specialised microscopy types. In order to further close the gap, she will address domain shifts between datasets and generalizability, as well as measures of uncertainty to defer uncertain decisions.

A hybrid option will be provided using the following link: https://us02web.zoom.us/j/87481976655?pwd=NytjVFVXaUJIN1hVSW91aFNSSGRSUT09

Meeting-ID: 874 8197 6655
Kenncode: 097471

As the year is approaching its end, we cordially invite you to this year's last Data Science Colloquium on December 19th, 2024, at 5 pm at the Albert-Einstein-Ring 8-10 on Campus Bahrenfeld (https://g.co/kgs/5eMwmnz, Ground Floor, Rooms 5 & 10). We look forward to talks by DASHH researchers Prof. Christian Schwanenberger and Dr. Andrea Thorn on current opportunities and challenges for artificial intelligence in particle physics & structural biology.

We hope to meet you for discussions after the talks with some snacks & hot beverages in a cheerful atmosphere.

We are happy to announce the next talk of our Data Science Colloquium which is an event jointly organized by Data Science in Hamburg - the Helmholtz Graduate School for the Structure of Matter (DASHH) and our partners.

We are looking forward to the talk of Dr. Christoph Grebner (Computational Chemist, Sanofi-Aventis Deutschland GmbH, Frankfurt, Germany) 
Drug design is a resource-demanding process that necessitates mining the incredibly large hemical space and includes expensive and time-consuming experiments. In the last decades, computer-assisted drug design (CADD) has become an indispensable tool to support and facilitate this process. Recent developments in the field include incorporating machine learning models at various steps of the drug discovery process and improving algorithms for searching the chemical universe. The talk will highlight key steps in computer-assisted drug design and discuss upcoming opportunities and challenges for AI technologies in CADD. Dr. Christoph Grebner is a computational chemist at Sanofi with several years of experience supporting drug design projects with CADD.

The official announcement and abstract of the talk can be found here
You can join the on-site colloquium or the Zoom meeting

Further information concerning the speakers and the lectures can also be found here

We are looking forward to your participation!

The National Ignition Facility (NIF) at Lawrence Livermore National Laboratory is a 2.2 MJ laser facility designed to achieve inertial confinement fusion ignition. In this approach, the 192 laser beams of NIF are used to compress and heat a millimeter-scale capsule of deuterium-tritium fuel to fusion ignition conditions where the fusion energy produced exceeds the laser energy delivered to the target. On Dec. 5, 2022, a NIF experiment crossed this ignition threshold for the first time. In the two years since, significant further progress has been made with recent experiments producing more than double the amount of laser energy used to drive the implosion.

This talk reviews the importance of the interplay of theory and high-performance computing with experiments, and critical hurdles that had to be overcome to reach ignition, recent progress in NIF experiments since ignition was achieved, and some of the current and future plans aiming for even higher fusion yields.

This work was performed under the auspices of the U.S. Department of Energy by Lawrence Livermore National Laboratory under Contract DE-AC52-07NA27344.

You can join the on-site colloquium or the Zoom meeting after registering here

bAIome Center for biomedical AI (UKE) and Bernhard Nocht Institute for Tropical Medicine (BNITM) will host the seminar series entitled “AI in biology and Medicine”. This series aims to capture a broad audience and promote cross institutional collaboration. Our expert speakers will give an overview and insight into particular AI/data science methods being developed in key areas of biology and medicine. We will have drinks and snacks following each seminar to facilitate exchange.

Fatemeh Hadaeghi,Institute of Computational Neuroscience, UKE

For further details and hybrid links, please go to the webpage AI in Biology & Medicine

bAIome Center for biomedical AI (UKE) and Bernhard Nocht Institute for Tropical Medicine (BNITM) will host the seminar series entitled “AI in biology and Medicine”. This series aims to capture a broad audience and promote cross institutional collaboration. Our expert speakers will give an overview and insight into particular AI/data science methods being developed in key areas of biology and medicine. We will have drinks and snacks following each seminar to facilitate exchange.

Angela Relógio, Medical School Hamburg MSH

For further details and hybrid links, please go to the webpage AI in Biology & Medicine