Cardiovascular disease is the leading cause of death worldwide.

Obesity may alter how a person absorbs, distributes, metabolizes or excretes medication. This thesis describes how obesity affects drug levels in the blood for antimicrobial agents, such as ciprofloxacin and fluconazole.

PNEC-pro is a user-friendly screening tool for professionals dealing with the assessment of surface water quality. The tool calculates local, watertype specific no-effect concentrations (PNEC) of copper, lead, nickel and zinc based on biotic ligand models (BLMs).

Atherosclerosis is the most important underlying process that drives cardiovascular disease, and is characterized by an accumulation of cholesterol which triggers an inflammatory response in the vessel wall.

This thesis investigates the contribution of quantum computers to machine learning, a field called Quantum Machine Learning. Quantum Machine Learning promises innovative perspectives and methods for solving complex problems in machine learning, leveraging the unique capabilities of quantum computers…

In this PhD-thesis several new and existing data science application are described that are particularly focused on applications for tax administrations.

De LUMC Alumni Vereniging is in 1996 opgericht om enerzijds de band tussen het Leids Universitair Medisch Centrum en zijn alumni te versterken, anderzijds om de band van de alumni onderling te versterken.

To meet the rising demand for minerals driven by the global shift to clean energy technologies, ensuring responsible and resilient supply chains is critical. Minerals like cobalt, lithium, and nickel for batteries, neodymium and zinc for wind turbines, and indium for solar panels are essential.

A sustainable resource management is an essential aspect to satisfy the current human needs without compromising the needs of future generations.

Dissolving microneedles are a subgroup of microneedle types that completely dissolve within the skin. During this dissolving process the vaccine, stored in the needle matrix, is released into the skin.

Drug-induced liver injury (DILI) is one of the main reasons for drug attrition during pre-clinical and clinical phases of drug development as well as for drug withdrawal post-marketing.

Technologies that help to enhance our educational environments can be found everywhere.

Dissolution processes – next to aggregation processes - play an important role for fate prediction and environmental risk assessment of metal-based nanoparticles (MNPs). It is challenging to predict the kinetics of the dissolution process of MNPs in complex systems such as we can find in in vivo and…

Hydrogen-based fuels are regarded as promising candidates for decarbonizing the maritime shipping sector.

In this thesis the links between allergy and intestinal health, the gut microbiome (GM), and external factors were studied by exploring the metabolome in longitudinal clinical studies and in vitro models.

Jongeren nemen vaker risico dan kinderen en volwassenen. Dat komt doordat het beloningscentrum in hun hersenen veel actiever is als ze een beloning krijgen, ontdekte promovenda Barbara Braams. Daarnaast spelen persoonlijkheid, testosteron en sociale context een rol.

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Computational thinking, programming, and algorithms form the basic of many of the things that are shaping our world, the way we work, interact, organize ourselves, and even spend our free time with social networks, streaming media, and games. And this transformation is far from being complete, it is…

Transport inspectorates are looking for novel methods to identify dangerous behavior, ultimately to reduce risks associated to the movements of people and goods. We explore a data-driven approach to arrive at smart inspections of vehicles.

In this thesis, we developed new ways to use a technique called electroextraction (EE) to extract charged molecules from one liquid into another using an electric field.

The work in this thesis demonstrates how to obtain an atomic-scale picture of a diverse set of complex surface structures observed using STM, under disparate conditions.

Lezing

Het project onderzoekt het gebruik van kunstmatige intelligentie op de arbeidsmarkt en hoe vooroordelen bij het aannemen en promoten van processen op basis van persoonlijke kenmerken mogelijk worden gereproduceerd met op AI gebaseerde systemen.

Promotor: Prof.dr. H.J.M de Groot, Co-Promotor: A. Alia

Promotores: Prof.dr. J. A. Bouwstra, Prof.dr. W. Jiskoot

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We are very excited to announce our Sustainability Series for 2023-2024. Each month an interactive workshop will be organised that discusses a specific theme of sustainability. Interested about sustainability? Do not hesitate to sign up to our events !

Faciliteiten waar LIBC leden gebruik van kunnen maken (in het Engels):

The bacterial cell wall is a nearly universal structure that offers protection and gives the cell its shape. However, environmental stressors, such as cell wall-targeting antibiotics and hyperosmotic conditions, can induce bacteria to shift to a wall-deficient state. It is unknown whether the lack of…

To study how planetary systems come into existence we study much younger systems still in formation.

This work describes the use of click-to-release chemistry to get spatiotemporal control over immunocytokine activity. Until now, immunocytokines (cytokines coupled to a tumor-targeting-moiety) remained active throughout the body, being able to bind their respective receptors, causing mild to severe…

This dissertation explores how Large Language Models (LLMs) can effectively and responsibly contribute to complex decision-making processes. By combining AI and human intelligence, Hybrid Intelligence (HI) emerges, allowing the strengths of both humans and machines to be utilized.

This thesis is about augmented reality (AR). AR is commonly considered a technology that integrates virtual images into a user’s view of the real world.

While ecosystems have concrete benefits for human society, these benefits are typically overlooked in decision-making.

This dissertation is organised into three parts, each addressing a distinct research area related to Gibbs measures.

Healthy aging is one of the prime goals in today's society and atherosclerosis is among the greatest causes of morbidity in elderly. Cardiovascular disease patients receiving treatment are often of advanced aged and have an aged immune system, which limits translating experimental findings to the pa…

Promotor: V. Vitelli, Co-promotor: J. Paulose

In this work, I explore the creation of new methods that optimize simulations of the gravitational N-body problem. Specifically, I take advantage of the recent popularity of Machine Learning methods to find tools that can suit this problem.

Throughout the history of computer science, a major challenge has been how to assert that software is free of bugs and works as intended. Software bugs can lead to serious negative impacts on any software system. Throughout the main body of the thesis, we implemented a series of studies on exploring…

Promotor: W. Jaffe, Co-promotor: K. Meisenheimer