ARTIFICIAL INTELLIGENCE IMPACT ON HEALTHCARE: ADVANCED DRUG DISCOVERY AND BEYOND

Main Article Content

Pranay Kurariya
Akash Yadav
Dinesh Kumar Jain

Keywords

Artificial Intelligence, Machine Learning, Artificial Neural Network, Convolutional Neural Network

Abstract

Artificial Intelligence is the advance of human technology which can work as human brain with the help of prefeed data, AI can take the decision and implement by their own. With the help of AI car can be drive without driver in recent time, this can be done with the help of data about the driving of car is installed in the system of car with the sensors. Recently AI is used in pharmaceutical industry more frequently. In this review we discussed about types of AI and how AI can be used in the process of drug discovery and development. The use of AI in recent pandemic i.e., Covid 19 treatment and its diagnosis from various tools explained. Diagnosis of life-threatening disease like cancer can be done with the help of Machine Learning tools like CNN which show a proper image based on input data. Artificial intelligence plays crucial role in personalized medicine which uses patient’s genetic profile to decide for prevention, diagnosis, and treatment of disease. The algorithm of Machine Learning which is a sub-field of AI is very useful in clinical trial which can predict a toxicity of a compound and can select the accurate candidate for clinical trial. Recently researchers using AI to predict the bioavailability of a compound and can making the prediction that how the compound will interact with proteins which will be beneficial and can reduce the cost of discovery of compound.

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