13.11.2024. 18:15h, Faculty of Mathematics (online)

AI in Medicine: Unveiling Current Applications and Exploring New Frontiers

Dr. Ivan Lorencin

Faculty of Informatics, Juraj Dobrila University of Pula, Croatia

A meeting of the Bioinformatics seminar will be held on Wednesday, November 13th, starting at 18:15, in online classroom. Teachers and students of doctoral and master studies in computer science, mathematics, biology and other related disciplines are invited to join us.

LINK: https://matf.webex.com/meet/birbi

Abstract

Artificial intelligence (AI) has the potential to significantly transform medicine, enhancing diagnostic accuracy, patient care, and healthcare processes. This lecture explores the use of various AI technologies, including deep learning, large language models (LLMs), and computer vision, within medical applications. Emphasis is placed on how AI aids in the analysis of medical texts, the generation of medical reports, diagnostics from imaging, and predictive health risk assessments. By leveraging semantic segmentation, AI can precisely detect and classify tumor masses, while robotic surgery applications demonstrate improvements in precision and patient outcomes. The lecture will also address the role of AI in automating healthcare administration and accelerating drug discovery. Ethical considerations, such as transparency, data privacy, and bias prevention, are highlighted as crucial factors for trustworthy AI deployment.

Lecturer

Ivan Lorencin is an Assistant Professor at the Faculty of Informatics, Juraj Dobrila University of Pula, where he currently serves as Vice Dean for Business Cooperation and Science. He was elected to the scientific rank of Research Associate in the fields of Electrical Engineering, Mechanical Engineering, and Computer Science, and is also an editor of the journal "Mathematics." He is the author and co-author of over 100 scientific papers, more than 30 of which are published in Q1 and Q2 journals. He is actively involved in multiple AI-related projects as a project leader or team member. Besides his academic career, Ivan is also a partner and AI R&D specialist at the Croatian-Serbian startup dAIgnostics, focusing on the development of artificial intelligence solutions for medical applications, and serves as the CEO and founder of Ant Intelligence, an AI development and consulting firm.

Seminar

The organizer of the seminar is BIRBI. The heads of the seminar are Prof. dr Nataša Pržulj and dr Jovana Kovačević.

9.10.2024. 18:15h, Faculty of Mathematics (online)

Mapping the multiscale human

Prof. Dr. Gary Bader

The Donnelly Centre, University of Toronto, Canada

A meeting of the Bioinformatics seminar will be held on Wednesday, October 9th, starting at 18:15, in online classroom. Teachers and students of doctoral and master studies in computer science, mathematics, biology and other related disciplines are invited to join us.

Abstract

Generative models have the potential to explore how genomes encode phenotypes and biological functions. We consider the human genome as analogous to a 'natural' generative model encoding the full complexity of an individual, from cellular architecture to physiological functions. According to this perspective, generative models can provide a natural unified framework to model the human body across scales and to capture factors determining health and disease. This talk will cover examples models of parts of the human body across spatial scales and time.

Lecturer

Gary Bader is a Professor at The Donnelly Centre at the University of Toronto and an expert in Computational Biology. The Bader lab is developing computational methods and an ecosystem theory of tissue function that considers cell-cell interactions, cell growth, and cell internal mechanisms, such as pathways, reactions, and causal relationships, to help understand development, cancer and regenerative wound healing processes. See http://baderlab.org.

Seminar

The organizer of the seminar is BIRBI. The heads of the seminar are Prof. dr Nataša Pržulj and dr Jovana Kovačević.

15.5.2024. 18:30h, Faculty of Mathematics (online)

Machine learning in medicine: Sepsis prediction and antibiotic resistance prediction

Prof. Dr. Karsten Borgwardt

Max Planck Institute of Biochemistry, Department of Machine Learning and Systems Biology, Germany

    Video: Recorded lecture (MP4, 65min, 95MB)

A meeting of the Bioinformatics seminar will be held on Wednesday, May 15th, starting at 18:30, in online classroom. Teachers and students of doctoral and master studies in computer science, mathematics, biology and other related disciplines are invited to join us.

Abstract

Sepsis is a major cause of mortality in intensive care units around the world. If recognized early, it can often be treated successfully, but early prediction of sepsis is an extremely difficult task in clinical practice. The data wealth from intensive care units that is increasingly becoming available for research now allows to study this problem of predicting sepsis using machine learning and data mining approaches. In this talk, I will describe our efforts towards data-driven early recognition of sepsis and the related problem of antibiotic resistance prediction.

Lecturer

Karsten Borgwardt is Director of the Department of Machine Learning and Systems Biology at the Max Planck Institute of Biochemistry in Martinsried, Germany since February 2023. His work won several awards, including the 1 million Euro Krupp Award for Young Professors in 2013 and a Starting Grant 2014 from the ERC-backup scheme of the Swiss National Science Foundation. Prof. Borgwardt has been leading large national and international research consortia, including the “Personalized Swiss Sepsis Study” (2018-2023) and the subsequent National Data Stream on infection-related outcomes in Swiss ICUs (2022-2023), and two Marie Curie Innovative Training Networks on Machine Learning in Medicine (2013-2016 and 2019-2022).

Seminar

The organizer of the seminar is BIRBI. The heads of the seminar are Prof. dr Nataša Pržulj and dr Jovana Kovačević.