Applications of AI in Life Sciences and HealthCare Industry
Why the need for Using AI?
We already know that AI or artificial intelligence along with machine learning is fast becoming the norm for every major industry. AI is still in its initial stages of development but it has already revolutionized the fields where it has been implemented. From large scale digital-based companies to the defence industry, there has been an increase in productivity and efficiency.
Due to the severe impact of AI on our daily lives, its implementation is not limited to the machinery industries only but has also spread to the Life Sciences and HealthCare industry. AI is helping the firms to explore various fields in the medical world that were previously considered to be dangerous and inexplicable.
The answer is everything! Think about the guy at your job who shows up before his time starts, talks with everyone, and has what seems like a ‘good day’ regularly. Ask him and he would tell you he loves his job. This has something to do with his attitude, right? Chances are that he has a more emotional quotient than average. He knows how to handle his emotions and knows what works best for his performance. He understands that being a robot won’t serve any purpose whatsoever.
Like its application in other fields, the major advantage of AI in the HealthCare industry is to objectively collect data about the patient and minutely analyze it to prescribe the most appropriate treatment. It is also helpful for recognizing past illness patterns to predict any future health hazards. AI helps us to make a diagnosis and provide a prescription in a very short time. It also widens the set of probabilities that we consider while choosing the correct treatment for the patient.
The Life Sciences and HealthCare Industry has witnessed a steady rise in the utilization of AI technologies in the past few years. With more and more people getting interested in data science and machine learning, the time for innovation in the field of AI is ripe right now and the firms are taking advantage of this to advance their business market.
The HealthCare industry has welcomed the application of AI to make up for its lack of skilled personnel and time-efficient diagnostic methods. AI has found various avenues of implementation in the field of medical or life sciences. Listed below are some of the major sectors where AI has brought a change.
Thus, we can see that AI is increasingly becoming an integral part of the Life Science and HealthCare industry. It is not only being used for increasing the efficiency and productivity of the institutions but also for providing safer and better service to the consumers and patients for a healthy and better future. However, AI should be used efficiently and carefully because after all, the machines are prone to mistakes.
Pacing Up Drug Development
The research and development of new drugs are not as easy as they sound. Most of the new drugs take a minimum of 7 to 10 years for development before it can be produced on a commercial scale. Numerous data is required for the development of new drugs like body metabolism, side effects, patient's past medical history with similar drugs and much other information. These types of information take weeks and months to collect and analyze before even the starting of the new drug development.
AI helps us to reduce this time considerably by effectively collecting and analyzing all the required data in a very short time. So, the initiation process is faster with the help of AI. However, their application is not limited to data mining. The AI systems can use the collected data of the patient to simulate a real-time model of the patient that can be used for testing all the possible effects of the drugs on the patient.
It helps us to identify any kind of side effects that might occur before even the drug is sold commercially and without using any human test subjects. All the collected and simulated data can also be used to obtain information about the timeline required to produce and sell the new drug.
Supporting Innovation for New Products
The biggest goal of the Life Science and HealthCare industry is to advance the research and innovation for new products. AI has opened up new avenues to help in the innovation of new products. The most widely used method in the HealthCare industry is to develop sophisticated algorithms that can identify and analyze the patterns and causes of infestation of any disease.
These data can be used for devising new experiments to invent a remedy for the disease. Not only for making new drugs, but the system itself can also be used for improving the existing medicines. The data mined by the AI system can be used to predict the reactions of the body in response to any drug. This information can be used to make any necessary changes in the existing medicine to provide better results.
Another major advantage of AI use in the research process is that it helps us to eliminate various blind spots and unexplored areas which were not accessible to us due to the experimental limitations. However, AI can be effectively used to break through those barriers and discover new information by conducting clinical experiments that could not be done physically before.
When AI became popular, its first application was in improving the diagnostic techniques. Diagnosis is the most fundamental step in the treatment of any patient. If the diagnosis is wrong, then the whole treatment will be wrong and that can be fatal for the patient in most cases. Even the most experienced doctors can make the wrong diagnosis. Indeed, they are humans after all and the human body of every other person responds to different pathogens in different ways. Besides, the problem can be different in two persons for the same symptoms.
This opened up an aspect for the application of AI in automated diagnosis. Automated diagnosis is faster and better as compared to normal human diagnosis methods. AI systems can employ microscopic magnifications to identify disease patterns and cross-reference the collected data with the medical history of the patient. The system then uses various complex algorithms to accurately diagnose the disease or ailment. Not only that, but the AI system can also measure various hormone levels in the body to make sure that it is the same disease which is indicated by the symptoms or something different which has manifested itself in the patient.
Automate diagnosis through AI provides us a better, complete, and more accurate diagnosis compared to manual diagnosis by the doctors. But it will be wrong to say that the automated diagnosis systems can replace the need for doctors. Because doctors always have some kind of valuable insights that can never be replaced by a machine.
Optimizing Safety Information using Predictive Analysis
As we all know that medical pieces of equipment and medicines are very sensitive and should always be maintained regularly to ensure its safety for usage. The expiry dates and safety periods for any medicine are generally determined by using the chemical components but these analyses are not always very efficient and accurate.
Most of the companies producing medicines on a large commercial scale have to meet tight deadlines which are most of the time not in sync with the time required by the safety department to run all the necessary tests to determine the safety period of the medicine. This often leads to misleading information about the safety of medicines or pieces of equipment. AI software can effectively analyze the pieces of equipment or medicines keeping in mind the various constraints not limited to the chemical factors but also other usage and environmental factors.
All these data can be used to perform predictive analysis and determine the safety periods more accurately than normal methods. The machine learning systems can be utilized to record patterns of past medicines usage to determine the future usage patterns of the medicine and pieces of equipment. The data can be used to predict the timeline for starting commercial production and their submission dates to get sold in the market with the most optimal safety period of usage printed on them.
Speeding Up Clinical Processes
The increasing population has posed a major challenge to medical institutions. Most of the patients fail to meet the deadlines for their treatment due to the delay in the completion of various diagnostic procedures and clinical tests. If these incomplete data are fed into an AI model, then they can generate accurate disease prescriptions and also identify the high probability target areas which might get affected due to the disease.
AI systems can be very helpful in formulating the curriculum of various clinical programs to ensure the most efficient output. AI can simulate some models to run experimental clinical tests and evaluate the performance. It can extrapolate the results to devise the most optimal process of clinical site selection and patient identification.
Advancing Compliance with the Regulations
The major drawback of the Life Science and HealthCare industry is that most of the major firms often neglect the safety regulations and feel no need to comply with them. AI is increasingly being used for employing complex algorithms to identify some keywords and adverse events which indicate any kind of non-compliance with the regulations. This is more effective than normal manual inspection and enforces transparency in clinical processes. It also reduces human efforts to ensure policy compliance.
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