Computational analysis and modelling for biomedicine Symposium

Date: 1st of December, 2023

The agenda for the event has been finalised. The meeting will take place as a hybrid event. If you are interested in attending in person or online, feel free to inform the lead organisor Dr Roman Bauer (r.bauer@surrey.ac.uk).

Agenda

Topic

With the vast improvements in computational resources, both from a hardware as well as software perspective, it has become possible to advance and accelerate biomedical research. Indeed, computational research has become a fundamental pillar of research, rendering the scientific method more efficient and facilitating collaboration across disciplines. In particular, experimental and clinical researchers can effectively work with computational experts since computational models have increasingly gained in detail, accuracy and realism. Along those lines, biological systems such as the brain, the immune system or specific organs can be captured based on experimental data from different spatial and temporal scales. Moreover, state-of-the-art AI models can be employed using large-scale data-sets, which is further facilitated by the increasing availability of public databases and practicality for collaboration across labs.

This workshop will allow researchers who work in computationally-assisted biomedical research to show their work, exchange ideas and ideally foster further collaboration.

Scope and information for participants

The scope of this research topic includes any computational or mathematical approaches and methods that are applicable to biomedical problems. Such problems should ideally focus on the biophysical and/or genetic processes that are relevant to a given biomedical topic, such as for instance cancer, cardiovascular disease, neurodevelopmental conditions, or neurodegenerative disorders. The application can be with regards to fundamental science, to better understand the underlying disease factors, or for computational diagnosis as well as treatment optimisation.

We expect the participants to consider relevance for different research communities, and formulate the research in a language that can be communicated within interdisciplinary settings. If potential participants are unsure about the suitability of their research topic/approach, they are encouraged to contact the lead organiser via r.bauer@surrey.ac.uk