I'm not worried that I'm being objectified by this image, or particularly concerned about the model involved – I'm assuming she was happy to pose and paid handsomely.
In the monoarticular AIA model involving i.a.a
In Figure 3, the model assumes that cancer tumors are generated by two pathways with pathway 1 as a k1-stage multi-stage model involving I l (l = 1,..., k1) cells and with pathway 2 as a k2-stage multi-stage model involving J r (r = 1,..., k2) cells.
Paradoxically, in the two monoarticular models involving i.a.a
Learning the model involves 1) building the structure (i.e. deciding on the direct transitions between prototypes); 2) training the model to estimate the numerical parameters of the HMM (i.e. Gaussian distributions, transition probabilities, and prototype prior probabilities).
The proposed solution is based on a multi-perspective modeling approach that involves (i) modeling key aspects of the enterprise, (ii) reasoning about design choices and (iii) supporting strategic decision-making through simulations.
The model involves the i.v. inoculation of disaggregated tumour cells into autologous and syngeneic recipients.
It involves (i) LIE model parameter fitting, and (ii) Applicability Domain (AD) definition.
Next, we develop a systematic procedure for training the cluster interaction model on-the-fly, which involves: (i) obtaining activation barriers for handful local environments using nudged elastic band (NEB) calculations, (ii) identifying the local environment by analyzing the NEB results, and (iii) estimating the cluster interaction model parameters from the activation barrier data.
We have investigated the relationship between the coagulation system and metastasis using a new model system, involving i.v. injection of Mtln3 rat mammary carcinoma cells into Fischer 344 rats, and subsequent estimation of pulmonary seeding.
