medicine

Events

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 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

 

 

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 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

 

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.