Artificial intelligence in medical research

Artificial intelligence in medical research

Healthcare stands the tallest amongst all the sectors that undergo frequent disruptions due to technology. Whether it is blockchain, IoT, or artificial intelligence in medical research , we see rapid changes every now and then.

Furthermore, 2003 was an amazing year because of successful genome sequencing. Since then, researchers are focusing heavily on treating diseases with technology. However, just cracking the DNA sequence will not cure the diseases. We need to study specific molecules present inside our body. One such category of these molecules is Metabolites.

What are Metabolites? : Artificial intelligence in medical research

In simple terms, they are tiny molecules responsible for metabolism and carrying information. Other functions of metabolites are generating signals/body fuels, triggering enzymes, and defending our body. Glucose, fructose, and fats are some common examples.

Furthermore, their contribution to metabolism attracts many biotechnologists. That’s why researchers are using artificial intelligence in biotechnology to harness them.

AI in the Molecular Research

Instead of expending billions of dollars and decades on manual research, AI is a very feasible option. Researchers are utilizing technological growth to the fullest in the healthcare sector. Furthermore, Leila Pirhaji is working on such AI platforms. She is using existing data on metabolites to feed into her AI model. This method is very efficient because:

  • The database has information on chemical reactions. It will help to identify metabolites within seconds.
  • Furthermore, there’s no need to perform mass spectroscopy for every case. It will save lots of financial resources.
  • In addition, a single AI platform can serve on a global level. There’s no need to set up any lab.

Let us not look at the AI algorithm developed by Leila Pirhaji.

Firstly, the team calculates the mass of the patient's metabolites. It is then analyzed according to deviations in specific diseases. After this, the system simulates the chemical connections of the sample and identifies the molecule in the sample. Then the identified sample leads to the diagnosis of the disease.

To develop a better understanding, consider this example. if the sample is of a Glucose Molecule. Then medics can trace it back to the diseases, which lead to changes in glucose and proceed with the treatment.

Further Developments in the Field

The application of artificial intelligence in medical research is still in a nascent stage. However, it is a strong beginning towards tackling diseases. As of now, startups like ReviveMind can diagnose and treat fatal complexions like Fatty Liver disease.

This field has a very bright future. With the advancements in computational power, you can expect a rapid spike in AI and medical research. Besides AI, companies are working towards quantum computers. It will break the limitations of traditional PCs. Who knows, we might even end up curing lethal diseases, including HIV and cancer.

Our Takeaway

Therefore in the coming two decades, artificial intelligence in biotechnology is going to disrupt the industry. It is an undeniable fact that sciences and technology go hand in hand. Furthermore, according to current growth, we can achieve remarkable milestones in the healthcare sector. These types of innovative ideas are the need of the hour.

 

 

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