How Machine Learning is Impacting Clinical Trials
Machine learning now has ever-increasing applications in clinical trials due to the recent significant developments in the field of healthcare.
FREMONT, CA: Today, people live in a highly dynamic digital era influenced by a steady stream of ground-breaking technology advancements. The clinical research sector is not an exception to the change, as technology has frequently been used in recent times to allow trials to be conducted more efficiently, reliably, and creatively.
This has been made possible by several technological developments, but there are two in particular – Artificial Intelligence (AI) and Machine Learning (ML). These technologies are becoming increasingly important in driving industry-wide transformation.
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What Does Machine Learning Look Like from a Practical Perspective?
Machine learning relates to the algorithms that can extract significant patterns and connections from data to be used to analyze new and previously unknown data. The extraction procedure is commonly known as the learning of the training phase.
To train such an algorithm, users must provide it with data that is particular to the task. Machine learning techniques vary from linear regression to transformer architecture, GAN, and many others.
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