P. Veeresh Babu* and Obbu Kavya
Machine learning is a branch of artificial intelligence which deals and focuses on algorithms by collection of data by improving its accuracy that resembles human intelligence. Machine learning has been developed since from when it came into existence. Machine learning has become vital source in human resources also. Now a day’s machine learning is not only used in technical and engineering fields but it is also it is used in medical field again in like it is used in health care, treatment, drug discovery, drug development etc. Pharmacotherapeutics refers to the use of drugs for prevention, treatment, diagnosis and modification of normal functions. Machine learning has become an ultimatum in medical field and health care drug discovery and development etc. Machine learning is used in development of a drug by developing lead molecule and the effect of drug that it has on body by technical method. Machine learning is used in diagnostics like during EEG, ECG, MRI, CT scan and many other diagnostic procedures. Machine learning is used in clinical pharmacology where animals are used to measure drug dose. Machine learning is used in academic practices for pharmacology subjects as it is banned to harm animals under PCI guidelines, so software is used to calculate doses and many experiments are carried out technically. Machine learning in pharmacotherapeutics has a major role in medical field as it helps in drug discovery, drug development, diagnosis, treatment of disease, and many. Machine learning is used in neural networks of artificial intelligence in which input and output acts as neurons. It is used in treatment of several diseases, disorders. In this way machine learning has a separate and vital role in pharmacotherapeutics.
Journal of Formulation Science & Bioavailability received 23 citations as per Google Scholar report
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