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1.2.2 Machine Learning to Speed Up Drug Development
ОглавлениеIn the current scenario, a number of research organizations are trying to develop Artificial Intelligence and Machine Learning-enabled tool for the process of speed up of the development of drug of COVID-19. Many developers are trying to use their AI software to recognize possible therapy for COVID-19. We are learning more and more about the Corona Virus after its breakout. So AI along with ML can use this information to identify which combination of chemicals will be more efficient towards a particular target [10]. But in order to find this, more and more amount of data is a must. This drug development process using ML approach can easily be represented using Figure 1.3.
Figure 1.3 Machine learning process for drug development.
The process of drug development can be divided into various steps as
1 First researchers gather the data collected from various resources about COVID-19, its associated symptoms, categories of patients, available secondary treatments given by the doctors etc.
2 After data collection, learning from that collected data can be done and compared with the diseases with similar symptoms and severity to determine the medications given in similar set of diseases.
3 After learning and observation, a blended mixture of chemicals can be prepared as a testing medicine to check whether this mixture is useful in the treatment or cure from the illness.
4 This blended mixture is now tested to a limited set of people and this process is known as human trial to observe the effectiveness of the medicine in order to decide whether this drug is safe and successful for people fighting with Corona Virus.
5 If the results seems successful, then another set of trials can be performed with large group of people, otherwise the researcher try to make some changes in the blended chemicals or its composition to see whether the medicine works or not again by conducting human trials.
6 The last step of this process is to let the machine learn itself from the above experiences and the results obtained from the various trials and then decide that which set of blended chemicals can be used further in case the above process gets fail.