Chronic obstructive lung diseases, including asthma and chronic obstructive
pulmonary disease (COPD), are causing an extreme burden on societal health, affecting
above 500 million people worldwide and affecting lung physiology at a multibiological
level. The increasing burden of air pollution is a major contributing factor to
the disease, other than smoking and living conditions. Over the years, several studies
have been undertaken to understand lung function, airflow mechanisms, and
impairment for better therapies and therapeutic interventions. Still, it is very unlikely to
predict the morbidity and mortality associated with COPD due to limitations of early
and timely prediction and progression which calls for personalized treatment
interventions to avert exacerbation and refractory symptoms. This chapter presents an
overview of the status of COPD worldwide with a special emphasis on Indian statistics,
along with the drug and pharmacological advancement, and computational medicinal
modelling, its applications, and limitations. Though experimental models may predict
the prerequisites for the system medicine approach, they are unable to analyse the finer
details, calling for more advanced molecular technologies. A computational model of
system medicine mimics the functioning of a complex system and can predict future
functioning as well. Working with large data sets, computational models may have
greater benefits to minimize patient risk and assist in clinical decision-making.
Keywords: Chemistry, COPD, Environment, Lung, Modelling, Pharmaceutical,
Pollution.