Increased use of AI in laboratories leads to positive results

It is well known that technology is advancing every day, and this change is being felt in laboratories. Scientific research, long hours of experimentation and complex analysis are now carried out much faster and more efficiently with the help of artificial intelligence.

Researchers used to spend weeks gathering data that an algorithm can now process in seconds. With systems that think and work like humans – but with far fewer errors – medical science is rapidly entering a new era. As artificial intelligence becomes an integral part of laboratories, the way scientists work is changing. Calculations that used to take hours can now be completed in a few clicks. The process of analysing and interpreting data and deriving meaningful results is accelerated by AI, leading to faster results.

However, this should not be seen as a threat to scientists, but rather as an enabler, allowing them to make more discoveries.

Examination of patient samples, diagnosis of diseases and prediction of diseases have become faster and more reliable. Some data that used to be interpreted solely on the basis of a doctor’s intuition is now supported by AI with highly accurate predictions. For example, the Los Angeles-based company LabAnalyzer has achieved remarkable results in this area, allowing individuals to analyse their lab results quickly and with high accuracy – eliminating one of the most common complaints: loss of time. Also this company presents very positive data about the low a/g ratio and a/g ratio normal range.

Similarly, the world-renowned Mayo Clinic is working with Google to digitise patients’ medical records and create a more efficient system. If these records were processed manually, it would likely take years to complete.

Another area where AI is having a significant impact in laboratories is drug development. Major pharmaceutical companies are actively using AI to speed up experimental processes and achieve more accurate results. Giants such as AstraZeneca, Pfizer and Merck are incorporating AI-driven analysis into their drug discovery efforts. What used to take years in drug development can now be completed in much less time.

Chemistry labs are also making effective use of AI. Repetitive and time-consuming laboratory tasks are now being performed by autonomous systems. At the University of Glasgow, for example, a robot can perform experiments and chemical syntheses instead of researchers. This allows scientists to spend more time on creative and discovery-driven work.

One of the countries investing the most in AI advances and seeing promising results is Israel. In particular, in the field of health technologies, Zebra Medical Vision has developed AI-powered solutions that analyse medical imaging data, enabling early detection of diseases. Another pioneering Israeli AI company, Nanox, aims to revolutionise the healthcare sector by integrating AI with digital X-ray technology.

As the use of AI in laboratories continues to grow, there is debate about whether this change is a revolution or just a passing trend. However, as a health and technology writer, I believe that AI has already become an inseparable part of the scientific world. From data analysis to drug discovery, from quality control to chemical synthesis, many tasks are no longer done by hand but by technology.

Does this mean that lab workers will lose their jobs? On the contrary, AI will become their greatest assistant. Instead of struggling with data, scientists will be able to focus on groundbreaking discoveries.

Ultimately, laboratories will become increasingly digital in this transformation process. Paper-based records, manual calculations and lengthy analysis procedures are gradually becoming a thing of the past, replaced by AI-driven systems that take over these burdens. AI has secured its place in laboratories not to replace scientists, but to help them make greater discoveries. In short, the future of science seems to be shaped by collaboration between humans and artificial intelligence.