November 30, 2022
How AI and Big Data Contribute to the Search for Vaccines and Drugs

How AI and Big Data Contribute to the Search for Vaccines and Drugs

To combat a new pandemic, governments and pharmaceutical corporations are scrambling to produce vaccinations and other medications as quickly as possible. Coronavirus (COVID-19) is a newly emerged virus that poses a serious risk to human health and the global economy. Artificial intelligence (AI) and big data help health specialists crunch figures and find innovative approaches to develop the treatments the world needs.

Everyone, without a doubt, is thinking about AI. Deloitte found that 63 percent of companies are already making use of AI or ML in some capacity, with an additional 88 percent planning to increase their investment in these technologies over the course of the next year. One of the main reasons why AI is becoming so widespread is its flexibility to adapt to new circumstances.

AI Companies are Ramping Up

Companies developing various AI technologies are increasing their operations to aid in drug discovery as a result of the booming industry and urgent necessity. BenchSci writer Simon Smith recently uncovered 221 businesses that employ AI in that industry. The diversity of these startups’ target markets is indicative of AI’s vast potential. The following are some of the most useful fields in the quest for new medicines and vaccines:

  • Data compilation and analysis
  • Understand how diseases work
  • Trace the biomarkers
  • Create, verify, and perfect new drug candidates
  • Make new medicines and test them on animals.
  • It is necessary to plan, recruit for, and perfect clinical studies.

Anti-Coronavirus Use of Big Data and AI

It’s possible that AI will be the game-changer in the battle against COVID-19. An article in InformationWeek claims that AI can analyze viral data, make accurate predictions, and maybe pinpoint the most promising medicines. Also, the time it takes to diagnose patients with coronavirus after they’ve had a CT scan has been cut in half, from five minutes to only twenty seconds, thanks to the help of AI.

China is also using temperature monitoring systems. Artificial intelligence is used by these devices to “integrate body detection, face identification, and dual sensing through infrared cameras and visible light,” all with the goal of more reliably identifying persons with increased body temperatures. Drones in China are equipped with artificial intelligence to help locate illness hotspots and spray them with disinfection.

Google Makes Its Play in Vaccine AI

Everyone was prepared for Google to enter the artificial intelligence market, and now that it has, the company is delivering as promised. In January, Google DeepMind unveiled AlphaFold, an artificial intelligence solution that can determine the three-dimensional structure of proteins from their DNA sequences. In addition, the AI system began focusing on the coronavirus in March.

To help the research community get a better grasp on SARS-CoV-2, the virus that causes COVID-19, DeepMind has given protein structure predictions for many uncharacterized proteins involved with SARS-CoV-2. It is envisaged that artificial intelligence will aid researchers in finding novel trials and therapies.

Smart Algorithms Keep Learning and Learning

The development of AI and big data algorithms in tandem with the quest for new vaccinations and medicines is intriguing to observe. An article in the latest issue of Discover Magazine described the employment of cutting-edge predictive analytics algorithms in the monitoring of animal reservoirs of human pathogens. Mouse parameters such as body mass, age at sexual maturity, life duration, population size, annual litter size, and geographic range were found as factors in the probability of disease transmission.

In practice, the algorithm typically makes several mistakes on the first try, which is why it iteratively tries the same thing with other, at-random characteristics. After each try, the algorithm refines its understanding of which features are most strongly associated with disease carriers. The study found that on average, it was only able to accurately identify 58% of features on the first try, 67% on the second try, and 83% on the third try. Its power comes from its ability to becoming smarter and more successful over time.

The Use of Big Data to Promote Vaccine Improvement

Big data is being used by scientists to create new models for vaccine development, and this framework is known as the Vaccinology 3.0 Framework. It’s essential for doctors to leverage big data:

  • Use the vast amounts of information found in EMRs for research and analysis.
  • Use smartphone apps to get information about vaccines
  • Keep an eye on the development of vaccines to make sure they are risk-free.
  • Vaccine-related search terms should be monitored so that medical practitioners may better reach and educate the public.

Conclusion: Artificial Intelligence and Big Data Training Assist in Getting the Job Done

Businesses and organizations all across the world will need AI and big data experts to help them create vaccines and medicines more quickly. As long as there are new threats to global health, there will be a need for both Big Data Architects, who use data modeling to connect technology to business solutions, and Artificial Intelligence (AI) Engineers, who master complex algorithms and tools to solve real-world problems like vaccine research.