April 29, 2020
How Artificial Intelligence is Helping with Developing Drugs
By : Ellie Brown
The field of artificial intelligence (AI) is not new. The healthcare industry and AI go back a long way. It has been helping the industry with diagnosing the symptoms of diseases more accurately so that it can be prevented from further growth. Researchers are embracing the use of AI as it can understand the complex raw data that humans cannot do.
AI has the potential to help researchers develop new drugs by monitoring the medical conditions of patients and as well as offering treatment plans. The use of AI in medicines dates back to 1972 when it was used for treating blood infection, but the popular methods began to take off in the 2000s.
Until the widespread of AI, the industry was able to consider only limited variables, but after that, it could process and organise raw data to predict the health outcome. AI technology is helping medical experts to diagnose and create a management plan for cancer patients. The best example is IBM. It is using AI to analyse scientific studies to develop new and more effective drugs.
Another instance of understanding the role of AI in medicine is patient care in radiology. AI can quickly interpret data, including images to extrapolate trends.
The need for AI in drug development
The healthcare industry needs AI technology because it can understand the complex trajectory of chronic diseases to suggest therapies. The demand for AI in the industry is for developing the most effective drugs to cure medical conditions. Here is why the role of AI is a must in developing drugs.
It is hard and overwhelming to read the data to find out useful information to develop new drugs, but AI can do it within a split of seconds. It can decipher complex raw data to find the best way to generate drugs.
AI can help medical practitioners to recognise medical solutions to combat even those symptoms that go overlooked otherwise. IBM Waston AI technology proved that it was useful to correctly analyse rare symptoms of leukaemia that had not been possible without the use of AI technology.
AI can also help analyse structured and unstructured data of patients so that researchers can have an insight into it more deeply without making any mistakes. AI does not feel fatigued, stressed and distraction, and therefore, it can analyse the results without stopping. It can beat out humans when it comes to accuracy.
Another advantage of using AI in medical research and development is it helps whittle down the mortality rate by prioritising patients who are in urgent need of treatment. AI can also help reduce death rates. It can also recommend treatments depending on the symptoms of a disease from individual to individual. AI also has the potential to improve outcome by 60 to 70% and reduce the treatment cost by 30 to 40%. To develop a new drug, it is crucial to detect and understand the symptoms of a disease, and it needs to be done as quickly as possible. Therefore, the healthcare industry needs AI. It can accurately and acutely spot any symptoms of the disease in MRI, CT scan, Ultrasounds and X-rays. AI can diagnose patients faster and help them recover more quickly.
Another reason for embracing AI in this field is it has automated the paperwork so that researchers can spend more time in labs in discovering more ways to generate new drugs. Medical practitioners can devote time to focusing on the medical condition of patients acutely.
How AI is used in medicine
Now that you have got to know why AI plays a crucial role in medicine, but now you will get to know how it is used.
- AI can understand the natural language and read text from any source, including unstructured data. Researchers are using it to annotate clinical data.
- It is being used to have an insight into patients’ data. It can identify the problems overlooked by analysing the previous medical records.
- It is helping researchers to understand which preventive measures and treatment are better depending on the response of patients’ body and immunity.
Artificial intelligence is contributing a lot on drug manufacturing, and for the best results, researchers are not hesitating from taking out guaranteed loans.