biology

Events

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Tuesday, March 05th, 2024 | 14:00 p.m.

Al for biomedical imaging: computational superresolution and more - BNITM seminar series "AI in Biology and Medicine".

BNITM, Bernhard-Nocht-Straße 74, 20359 Hamburg

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

 

 

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Tuesday, February 06th, 2024 | 14:00 p.m.

Computational pathology: The gap between research and clinics - BNITM seminar series "AI in Biology and Medicine".

BNITM, Bernhard-Nocht-Straße 74, 20359 Hamburg

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

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Tuesday, February 13th, 2024 | 14:00 p.m.

Machine learning of MCMV infection dynamics - BNITM seminar series "AI in Biology and Medicine".

BNITM, Bernhard-Nocht-Straße 74, 20359 Hamburg

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.

Lorenz Adlung, I Medical Clinic and Polyclinic, UKE: Machine learning of MCMV infection dynamics

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

 

images/02_events/Bildschirmfoto%202024-01-25%20um%2011.25.09.png#joomlaImage://local-images/02_events/Bildschirmfoto 2024-01-25 um 11.25.09.png?width=840&height=390
Tuesday, March 12th, 2024 | 14:00 p.m.

Predicting clinical response to treatment in inpatients with depression - BNITM seminar series "AI in Biology and Medicine".

BNITM, Bernhard-Nocht-Straße 74, 20359 Hamburg

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

 

images/02_events/Bildschirmfoto%202024-01-25%20um%2011.25.09.png#joomlaImage://local-images/02_events/Bildschirmfoto 2024-01-25 um 11.25.09.png?width=840&height=390
Tuesday, April 23th, 2024 | 14:00 p.m.

Systems Biology of Cancer - BNITM seminar series "AI in Biology and Medicine".

BNITM, Bernhard-Nocht-Straße 74, 20359 Hamburg

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

 

images/02_events/Bildschirmfoto%202024-01-25%20um%2011.25.09.png#joomlaImage://local-images/02_events/Bildschirmfoto 2024-01-25 um 11.25.09.png?width=840&height=390
Tuesday, February 20th, 2024 | 14:00 p.m.

Technical foundations of Large Language Models, their applications and limitations - BNITM seminar series "AI in Biology and Medicine".

BNITM, Bernhard-Nocht-Straße 74, 20359 Hamburg

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.

Christopher Gundler, Institute for Applied Medical Informatics, UKE

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

 

images/02_events/Bildschirmfoto%202024-01-25%20um%2011.25.09.png#joomlaImage://local-images/02_events/Bildschirmfoto 2024-01-25 um 11.25.09.png?width=840&height=390
Tuesday, February 27th, 2024 | 14:00 p.m.

Unsupervised patient stratification based on omics data - BNITM seminar series "AI in Biology and Medicine".

BNITM, Bernhard-Nocht-Straße 74, 20359 Hamburg

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.

Olga Zolotareva, Institute for Computational Systems Biology, UHH

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

 

Institutions

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Data Science in Hamburg | Helmholtz Graduate School for the Structure of Matter, DESY & UHH & TUHH & HSU & HAW & Hereon & HZI & MPSD & EuXFEL

Helmholtz graduate school educating the next generation of international and interdisciplinary data scientists

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Leibniz Institute of Virology

The Leibniz Institute of Virology (LIV) is a non-profit, independent research foundation that has been part of the Leibniz Association since 1995.

The LIV’s research is partly funded by the Federal Ministry of Health (BMG) and the combined research funding by the Länder, which is represented by Hamburg’s Ministry of Science, Research, Equality and Districts (BWFGB). Significant funding is also acquired through competitive bidding from national research programmes, private foundations and the industry.

Universität Hamburg
Adeline Scharfenberg
Diese E-Mail-Adresse ist vor Spambots geschützt! Zur Anzeige muss JavaScript eingeschaltet sein. 

Universität Hamburg
Adeline Scharfenberg
Diese E-Mail-Adresse ist vor Spambots geschützt! Zur Anzeige muss JavaScript eingeschaltet sein. 

Universität Hamburg
Adeline Scharfenberg
Diese E-Mail-Adresse ist vor Spambots geschützt! Zur Anzeige muss JavaScript eingeschaltet sein.