Application of artificial intelligence and machine learning in medicine, drug discovery, genomics and biosensors

In the modern era, the complexity and increase in healthcare data will drive us towards the growing use of artificial intelligence. For optimal progress in precision medicine, a thorough examination of comprehensive patient data alongside various and extensive factors is essential to differentiate between sick and relatively healthy individuals. Artificial intelligence has the potential to enhance patient care and facilitate easier decision-making for healthcare professionals through advanced computations and inferences, enabling the system to reason, learn, and ultimately streamline medical decision-making. Artificial intelligence is currently being employed by healthcare providers and life sciences companies in various domains. In this article, we will review recent advancements in the application of artificial intelligence in the fields of medicine, pharmaceuticals, and genomics. Additionally, we will discuss the role of machine learning in medical imaging, precision medicine, and biosensors. The article will also explore some advances in biosensor technologies that utilize artificial intelligence to assist in monitoring electro-physiological and electrochemical signals of the body and diagnosing diseases. These advancements indicate a trend towards personalized medicine, which is both highly effective, cost-effective, and precise in the point of care. Researchers, with access to a wide range of datasets and modern computational techniques such as machine learning (ML) and deep learning (DL), can usher in a new era of genomics and effective drug discovery. Deep learning, using algorithms to create an artificial neural network (ANN), can autonomously learn and make decisions, mimicking the human brain.