Machine learning is the future Staff Editorial: Machine learning’s capabilities keep growing

Although many use the two terms interchangeably, machine learning and artificial intelligence are not the same: machine learning is a specific category under the broad umbrella of artificial intelligence and is defined by the use and development of technology that can analyze and adapt without human interference or instruction. This technology is instrumental in organizing data and looking for patterns which can imply causal relationships. These abilities, key to allowing researchers to form testable hypotheses, are key to the progression of healthcare. For instance, if given data about the traits of each person in a specific population , machine learning can look for correlations and make connections, such as that overweight people may have higher rates of diabetes. Scientists can then develop strategies to investigate and treat these issues. Another example is in biomechanical engineering. When stem cells are placed on a culture dish, each cell spreads out or flattens to a different degree. Machine learning can generate certain connections from this, such as the fact that the more spread out stem cells have better chances of survival, and are fitter for growth. This is essential for certain cell-based therapies – stem cells can turn themselves into different cell types like motor neurons, which control muscle contractions and are useful in treating neurological diseases. Thus, in spinal injuries caused by car accidents, motor neurons can be placed into the spinal cords of patients, a process critical more accessible without geographical constraints, the potential of its development remains unclear. What if the growth of technology contributes to a decline in human creativity? In a world where technology has infiltrated our daily lives — from home appliances to schools and workplaces — we must rethink our roles. to the recovery process. Machine learning is the future of healthcare. No longer simply being used to recommend videos on your TikTok FYP, or finding new restaurants for you to try, this technology is now a crucial aspect to the advancement of science, and society.