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Stochastic approach to study the properties of the complex patterns observed in cytokine and T-cells interaction process
Patterns in complex systems store hidden information of the system which is needed to be explored.
Spatiotemporal patterns of Covid-19 pandemic in India: Inferences of pandemic dynamics from data analysis
Modeling and analysis of the large scale Covid-19 pandemic data can yield inferences about it's dynamics and characteristics of disease propagation.
Dynamics of unfolded protein aggregation
Unfolded protein aggregation in cellular system is a problem causing various types of diseases depending on which type unfolded proteins aggregate.
Epidemiological parameter sensitivity in Covid-19 dynamics and estimation
In this work, we study and correlate the SIR epidemiological model with the ongoing pandemic and found that pandemic dynamics and states are quite sensitively dependent on model parameters.
Functional switching among dynamic neuronal hub-nodes in the brain induces transition of cognitive states
Although the mechanism of state transition is unknown, it has been proposed that functional activation/deactivation among different brain regions leads to such transition.
Network medicine in ovarian cancer: Topological properties to drug discovery
The investigation of topological properties of ovarian cancer network (OCN) and the roles of hubs involved in it by digging the network at various levels of organization are important to understand how OCN is organized to understand disease states.
Observation of complex functional cortical patterns in brain cognition
We propose that interaction range as a function of coupling strength drives connectivity in an augmenting fashion as we observed an increase in coupling strength from short to long-range interactions, among the population of neurons.
