Further events
Pint Of Science: Built by Science: From Mini-Organs to Machine Minds
Didi Offensiv — Fussballkulturbar
Erasmusplatz 12, 4057 Basel
Global Science Festival – where leading scientists take off their lab coats and dive into fascinating discoveries. All of this in the relaxed atmosphere of your favorite bar!
Veranstaltungsdetails
Pint of Science is a global science festival with the main goal of bringing scientists out of their labs and offices directly into your favorite bar. Researchers from various fields will present their work in a casual and informal atmosphere.
This event, titled "Built by Science: From Mini-Organs to Machine Minds" will take place at Didi Offensiv and will focus on the latest technological developments in science and artificial intelligence, and how they are advancing medical research.
Presentations:
Bladder Tissue Models to Understand and Fight Infections
Speaker: Yannik Heyer, PhD student at Biozentrum, University of Basel
Urinary tract infections (UTI) are widespread diseases that require lengthy treatments. Nevertheless, an increasing number of patients experience re-appearance of UTI despite treatment. Albeit the substantial impact of UTI to our healthcare system and the wellbeing of patients, studies about UTI mainly focus on mouse models that cannot mimic the human urinary tract. Here, we present a lab-developed human bladder tissue that replicates key features of the human urinary tract. We use this model to better understand how infectious bacteria interact with this human environment and how our tissues fight back.
AI Meets Medicine: From Data to Diagnosis
Speaker: Jan Kruta, PhD student at the School of Life Sciences, FHNW / Department of Medical Oncology and Hematology, USZ
How can AI help doctors make better decisions? That’s the question we’re exploring in our research. We use machine learning to build systems that learn from clinical data, laboratory measurements, and molecular profiles – trying to spot hidden patterns that could help detect diseases earlier and more accurately. These AI-powered decision support tools are part of a growing movement to make healthcare smarter and more personalized. By combining technology with medical expertise, we aim to make complex data understandable and useful – both for researchers and for the doctors of tomorrow.
Artificial Intelligence in Radiology – Will it Take Over or Help Radiologists Do More?
Speaker: Maurice Pradella, Associate Professor of Radiology & Deputy Head, Division of Cardiothoracic Imaging
Artificial intelligence (AI) is having a major impact on radiology, rapidly analyzing images and detecting patterns with impressive accuracy. This raises important questions: Will we need fewer radiologists? Could AI replace them entirely? And how will the role of the radiologist evolve?
This talk offers a radiologist’s perspective on these pressing issues and shares a personal vision of how radiology might advance in the near future.
This event, titled "Built by Science: From Mini-Organs to Machine Minds" will take place at Didi Offensiv and will focus on the latest technological developments in science and artificial intelligence, and how they are advancing medical research.
Presentations:
Bladder Tissue Models to Understand and Fight Infections
Speaker: Yannik Heyer, PhD student at Biozentrum, University of Basel
Urinary tract infections (UTI) are widespread diseases that require lengthy treatments. Nevertheless, an increasing number of patients experience re-appearance of UTI despite treatment. Albeit the substantial impact of UTI to our healthcare system and the wellbeing of patients, studies about UTI mainly focus on mouse models that cannot mimic the human urinary tract. Here, we present a lab-developed human bladder tissue that replicates key features of the human urinary tract. We use this model to better understand how infectious bacteria interact with this human environment and how our tissues fight back.
AI Meets Medicine: From Data to Diagnosis
Speaker: Jan Kruta, PhD student at the School of Life Sciences, FHNW / Department of Medical Oncology and Hematology, USZ
How can AI help doctors make better decisions? That’s the question we’re exploring in our research. We use machine learning to build systems that learn from clinical data, laboratory measurements, and molecular profiles – trying to spot hidden patterns that could help detect diseases earlier and more accurately. These AI-powered decision support tools are part of a growing movement to make healthcare smarter and more personalized. By combining technology with medical expertise, we aim to make complex data understandable and useful – both for researchers and for the doctors of tomorrow.
Artificial Intelligence in Radiology – Will it Take Over or Help Radiologists Do More?
Speaker: Maurice Pradella, Associate Professor of Radiology & Deputy Head, Division of Cardiothoracic Imaging
Artificial intelligence (AI) is having a major impact on radiology, rapidly analyzing images and detecting patterns with impressive accuracy. This raises important questions: Will we need fewer radiologists? Could AI replace them entirely? And how will the role of the radiologist evolve?
This talk offers a radiologist’s perspective on these pressing issues and shares a personal vision of how radiology might advance in the near future.