Perhaps more than most other industries, the landscape of pharma was radically altered by the pandemic. Now with an end to the coronavirus within reach, experts say there will be a change in trends.
Data analytics, when applied to clinical trials and experiments, help quickly identify the source of error with greater ease. They also help build predictive models and provide information on optimum parameters that will achieve the desired outcome of an experiment. Data modelling helps biotech and pharma companies screen drugs before they pick the one that’s most effective, based on the computer-generated feedback. Agricultural biotech firms can also take advantage of data science tools by using them to identify the best performing crops with minimum impact on the environment, especially among the genetically modified plants.
The line between data science and medical biotechnology is fading, leaving a grey area of research in the future of the pharmaceutical industry. The skills that will be needed to carry on data aided medical research might seem unattainable, but they can be easily incorporated using specialists.