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Seminar: In Silico Multiscale Modelling for Disease Progression, Prognosis and Treatment Outcome Prediction

Event Details:

  • Date:          Tuesday, 20 December 2022
  • Time:         Starts: 16:00
  • Venue:       GoB main conference room (2nd floor), The Cyprus Institute.
                       This is a hybrid, public event.  You may attend in-person or alternatively, connect to our live stream of the discussion, available on Zoom (Password: VsSCz1)
                       If you would like to attend in-person then please RSVP by Monday 19 December, 13:00
  • Speaker:    Assist. Prof. Vasileios Vavourakis, University of Cyprus



CyI Logo RTI ver b     CaSToRC HPC

 

CaSToRC, the HPC National Competence Centre,
 invites you to the EuroCC and SimEA Seminar Series



 

Abstract

Mathematical and computational models, also usually referred to as in silico models, are becoming increasingly useful to aid biological experiments, make quantitative and testable predictions of physiological and pathological conditions. In silico models have being successfully used to generate and test new hypotheses in medicine, to propose new guidelines for disease diagnosis and progression monitoring, as well as for pre-treatment planning by incorporating pertinent anatomical and functional data.

In this talk, I will outline the research work of my group in in silico modelling of cancer and cardiovascular related problems. We have been developing multiscale models that span from the cell-scale to extracellular matrix mechanobiology and from soft tissue to organ-scale biomechanics, macro- to micro-biofluid flow mechanics, coupled problems of avascular or/and vascularised tumour growth and angiogenesis, and the transport of drugs and nanomedicines. I will present our efforts to theoretically investigate dynamic changes of the tumour–host microenvironment, the capacity of the models to simulate drug delivery in humans and animal models, the in silico applications we are developing for surgical planning, and I will conclude with our future plans for research.

 

About the Speaker

vasileios vavourakisBefore joining the University of Cyprus (UCY), Dr Vavourakis was a Senior Research Associate at the University College London, a Visiting Lecturer and Research Associate at UCY, and a Postdoctoral fellow at the Foundation for Research and Technology - Hellas. He holds a PhD in Mechanical Engineering and a Diploma in Aeronautics, both awarded by the University of Patras. Dr Vavourakis’ scientific expertise is in continuum solid mechanics and biomechanics, mathematical biology, and computational modelling in bioengineering. He leads the In Silico Modelling Group (ISMG; https://in-silico-modelling.ucy.ac.cy) at UCY, the research interests of which span from scientific computing, systems biology, and medicine.

He has published more than 40 journal papers and book chapters, and has been the PI of 5 EU and national R&D projects (participated in 15 projects) including a Marie Skłodowska-Curie fellowship. Dr Vavourakis is a member of the Virtual Physiological Human Institute, the International Assoc. of Computational Mechanics, the European Society of Biomechanics, the Marie Curie Alumni Association, and the UK Association of Computational Mechanics in Engineering.

 


 

Download the Fall 2022 EuroCC & SimEA Seminar Series Programme here.

Screenshot 2022 04 12 165256 


 

The EuroCC project has received funding from the European Union’s Horizon 2020 research and innovation programme grant agreement No. 951732

European Union's Horizon 2020 Research and Innovation Programme

The SimEA project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 810660

 


 

The seminar will be in English and the event is open to the public.
This is a hybrid event.  You may attend in-person or alternatively, connect to our live stream of the discussion, available on Zoom (Password: VsSCz1).  If you would like to attend in-person then please RSVP by Monday 19 December, 13:00
Images and/or recordings of our open public events may be used by The Cyprus Institute for dissemination purposes including print and digital media such as websites, press-releases, social media, and live streaming.

 



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Additional Info

  • Date: Tuesday, 20 December 2022
  • Time: Starts: 16:00
  • Speaker: Assist. Prof. Vasileios Vavourakis, University of Cyprus
  1. August 2016
  2. September 2016
For the initial monitoring of the building the SUI CyI research team installed a weather station on the roof, placed sensors inside the building and performed a thermal comfort assessment survey.

1. Climate data monitoring

Exterior
A Vantage Pro2 weather station was placed on the building roof to collect data from the SUI area. Regularly updated information about the climatic conditions could be found on the station webpage: http://www.weatherlink.com/user/suitepakcy/. The weather station base was designed and installed by the CyI technical equipment development team.

Interior
Twelve (12) HOBO data-loggers were placed in the building, for collecting temperature, humidity and light data. The data are collected every 30 minutes and will be elaborated with the HOBOware software.

2. Thermal comfort assessment questionnaire

A survey on occupant comfort satisfaction with the indoor environment in summer was conducted. The questionnaire was based on templates proposed by the HSE (http://www.hse.gov.uk/temperature/index.htm). A third of the total employees were asked and complementary measurements were made using a Heat Stress WBGT (Wet Bulb Globe Temperature) Meter, both for the indoor and the outdoor climatic conditions at the time of the survey.

Images below, from left to right:
Left: The Vantage Pro2 weather station
Middle: HOBO data logger placed in the working place – 1st floor
Right: Completed questionnaire (first page) – Ground floor.

1. Thermal imaging

Thermal images were taken using a T440 Flir thermal camera in order to find missing, damaged, or inadequate insulation, building envelope air leaks, moisture intrusion and other problems. Also, the main sources of radiant temperature were determined.

2. HOBO sensors data collection and analysis

The temperature, humidity, air movement and dew point data from the HOBO sensors were collected and analysed. The mean predicted vote (PMV) was calculated using the CBE Thermal Comfort Tool (http://comfort.cbe.berkeley.edu/EN). In all the spaces under monitoring the people are expected to be in thermal comfort, since all values are within the thermal comfort range of -0.7

Images below, from left to right:
Left: A thermal image from the mezzanine
Right: Graph. Thermal Comfort PMV

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