Registered Data

[CT178]

[00659] Understanding persisting onchocerciasis hotspots in Africa using mathematical models

  • Session Date & Time : 5D (Aug.25, 15:30-17:10)
  • Type : Contributed Talk
  • Abstract : Onchocerciasis/river blindness is a vector-borne neglected tropical disease with persistent transmission hotspots despite the repeated distribution of ivermectin in endemic communities in Africa. One of the hypotheses for the persistence of transmission is due to the movement of parasites via infected humans and/or vectors between neighbouring communities. I have explored how vector movement affects transmission using spatially-structured mathematical models informed by genetic and environmental data, which might aid in making public-health decisions to eliminate onchocerciasis.
  • Classification : 92-08, 92-10, 92D30, 92D25, 92D40
  • Author(s) :
    • Himal Shrestha (La Trobe University)
    • Himal Shrestha (La Trobe University)
    • Shannon Hedtke (La Trobe University)
    • Karen McCulloch (La Trobe University)
    • Warwick Grant (La Trobe University)
    • Rebecca Chisholm (La Trobe University)

[00709] Mathematical modeling reveals P2X1 purinoceptor antagonist as a male contraceptive

  • Session Date & Time : 5D (Aug.25, 15:30-17:10)
  • Type : Contributed Talk
  • Abstract : Condoms and vasectomies are the only male contraceptive options with disruption of foreplay and reversibility issues. The vas deferens smooth muscle (VDSM) contracts for sperm transportation. The pharmacological inhibition of VDSM contraction might explore promising new contraceptives. We established a mathematical model of VDSM cell using ordinary differential equations for an insilico electrophysiological investigation. The findings from our mathematical model reveal that the P2X1-purinoceptors antagonist 2-phenyl-5,6,7,8- tetrahydroquinoxaline might be considered as a new male contraceptive.
  • Classification : 92-08, 92-10, 92-05
  • Author(s) :
    • CHITARANJAN MAHAPATRA (Paris-Saclay Institute of Neuroscience - CNRS)
    • Ashish Kumar Pradhan (Indian Institute of Sciences Bangalore)

[01958] How can we make tumour predictions under mechanism uncertainty?

  • Session Date & Time : 5D (Aug.25, 15:30-17:10)
  • Type : Contributed Talk
  • Abstract : The need of quantitative tumour growth and progression predictions is pivotal for designing individualized therapies. Medical data correspond to snapshots in time of the patient’s state and their collection relies on patient’s clinical presentation. Current standard of care faces the following challenges: (C1) data collection is sparse in time and (C2) we lack the knowledge of the underlying biological mechanisms. To solve them, I will present a methodology that combines mechanistic modelling and machine.
  • Classification : 92-08
  • Author(s) :
    • Haralampos Hatzikirou (Khalifa University)

[02068] Variable selection aided by correlation networks

  • Session Date & Time : 5D (Aug.25, 15:30-17:10)
  • Type : Contributed Talk
  • Abstract : Variable selection is important because it can provide improved quality of results, faster times of computation and more explainable models. We present recent work in which we use data from over 100 000 cells to find a selection of morphokinetic variables guided by nonlinear correlation networks, able to capture behavioral landscapes of inflammation. Our mathematical modeling, based on logistic and decision tree models, allowed us to identify the most important variables for immune cell prediction.
  • Classification : 92-08, 92-10, 92B05, 92B15, 92C42
  • Author(s) :
    • David G Aragones (University of Castilla-La Mancha)
    • Gabriel F Calvo (University of Castilla-La Mancha)
    • Georgiana Crainiciuc (Spanish National Cardiovascular Research Center)
    • Miguel Palomino-Segura (Spanish National Cardiovascular Research Center)
    • Jon Sicilia (Spanish National Cardiovascular Research Center)
    • Andres Hidalgo (Yale University)

[00146] A mathematical model to the melanoma dynamics involving CAR-T cells

  • Session Date & Time : 5D (Aug.25, 15:30-17:10)
  • Type : Contributed Talk
  • Abstract : Melanoma is considered one of the most aggressive types of cancer. Melanoma has been used as an experimental model in several studies aiming the development of therapies, such as immunotherapy with CAR T-cells. Our ODE model: a) captured the expansion, contraction and persistence phases of CAR-T cells; b) exhibited the suppression caused by tumor cells on CAR-T cells; c) showed that macrophages negatively impact CAR-T cell dynamics.
  • Classification : 92-10, 92Bxx
  • Author(s) :
    • Paulo F. A. Mancera (UNESP)
    • Jairo G. Silva (IFMT)
    • Guilherme Rodrigues (UNESP)