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Our speakers

Big Data and AI in Biomedicine


Pieter Kubben 

Opening lecture on big data & AI

As a leading neurosurgeon at Maastricht UMC+, Dr. Kubben brings a wealth of expertise in cutting-edge research areas such as adaptive deep brain stimulation and brain-computer interfacing. His pivotal role in establishing the eHealth program at MUMC+ underscores his commitment to leveraging technology for healthcare advancement.

As the opening keynote speaker, Dr. Kubben will illuminate critical concepts of big data and AI, equipping the audience with essential background knowledge as they explore the subject further in the following presentations. Don't miss this opportunity to gain essential insights from a visionary in the field of neurosurgery and data science! 


Rianne Fijten

Shared-decision making in cancer

Rianne Fijten, Assistant Professor at Maastricht University and Maastro, is at the forefront of Clinical Data Science, leveraging AI to enhance patient outcomes in medical decision-making. With a background rooted in biomedical sciences, Dr. Fijten's journey into data science began during her Master's and PhD studies. Here, she performed research on the diagnosis of diseases (including cancer) using the exhaled breath of patients.

During her presentation, Dr. Fijten will highlight a variety of clinical cases in which AI can make a difference. In particular, she will focus on AI that supports decision-making by predicting future events such as cancer survival and recurrence or side effects of treatment.

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Liesbet Peeters

Real-world data

Liesbet M. Peeters is an assistant professor, leading the research group of biomedical data sciences at Hasselt University (Belgium). This research group is affiliated with both the Biomedical Research Institute as well as the Data Science Institute. They are a multidisciplinary team that consists of researchers with a (bio)medical background as well as with a data science background (and everything in between). Together, they make the connections between the two very different worlds of biomedical sciences and data sciences.

In her lecture, Liesbet will inspire the audience about how #DataSavesLives and how biomedical researchers can contribute to the wicked problem of health data sharing and use. Don't miss this opportunity to gain insights from a leader at the forefront of health data transformation. See you at MOSA Conference 2024!


Mehrdad Seirafi

Application of AI in neurological research

Mehrdad Seirafi, a neurotech entrepreneur based in Maastricht, holds a PhD in cognitive neuroscience from Maastricht University, where he originally studied physics. Alongside being the co-founder, he serves as the tech lead at Alpha Brain Technologies, a deep-tech medical device company.


During his lecture, Dr. Seirafi will shed light on NEVOA-AI, an embedded-AI for continuous monitoring of the brain in real time developed by Alpha Brain Technologies. This AI is able to predict and potentially prevent brain-related catastrophes, such as epileptic seizures, before happening.


William Van Doorn

Machine learning for risk stratification in the emergency department

During his PhD studies, William Van Doorn contributed to developing a machine learning model in collaboration with acute internal medicine. This model aims to aid in risk stratification for patients presenting to the emergency department. After external validation in three other centers, it is currently undergoing testing in a randomized clinical trial to evaluate its effectiveness in real-world clinical practice. This trial has also been recognized on Nature Medicine's list of Top Clinical Trials for 2024.


In his talk, Dr. Van Doorn will introduce the audience to the use of artificial intelligence tools to help decision-making for patient care, potentially revolutionizing how we prioritize care in critical settings.

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