Enhancing Medical Research Through AI


The Artificial intelligence has been the used in various forms and degrees to develop and grow a variety of the industries such as banking and financial markets education supply chain and manufacturing retail and healthcare. In the technology industry the AI has been a major enabler of many new business innovations. This includes web searches and product recommendations targeted advertising and autonomous vehicles. The people use the artificial intelligence systems every day. From the spam and free emails and we receive in our inboxes and to smartwatches that use accelerometer sensor data to differentiate between mundane and aerobic activity the buying products on online shopping sites like Amazon and which sell products based on us recommend previous purchases. These examples show the use of AI in different areas such as the technology and commerce. Artificial intelligence has transformed our daily lives by the influencing the way we perceive and process information. This article aims to present the different aspects of AI in relation to medical science. The article focuses on the past and present applications in medicine and introduces companies that are currently the using AI systems in the medical field. This article also will conclude by emphasizing the critical importance of interdisciplinary collaboration leading to the creation of ethical and impartial and artificially intelligent systems.

Personalized/Precision Medicine

The Precision medicine and an approach to patient care based on targeted therapies which is another area ripe for AI innovation. Also known as personalized medicine and this medical model integrates genetics and behavior and environment to tailor therapeutic interventions to a specific patient or group and offering an alternative to the one and size all approach of traditional medicine.

Discovery Of The Drug

The Given that a single drug very costly to develop and that nine out of ten proposed treatments will fail between the Phase I trials and regulatory approval and comes the launch of the learning automatic drug discovery at just the right time. Against this background the researchers at the Universities of Cambridge and Manchester have developed and a scientific robot called Eve to streamline this time and consuming and expensive process. Then Eve discovered that a compound commonly found in soap and toothpaste could prove to be a powerful new weapon in the fight against the drug and their resistant malaria. The Intelligent technologies like Eve not only enable to scientists to accelerate the drug discovery process also they also reduce the cost of drug discovery by reducing the manpower and hours which required to achieve a breakthrough. The clinical studies machine learning algorithms can be optimizing clinical trials in a number of ways. The advanced predictive analytics could allow researchers to identify the clinical trial candidates based on a variety of data and including social media presence the interactions with primary care physicians and comparisons of their genetic information to a specific target population. The Clinical trial recruitment costs can be huge and AI solutions can be significantly reduced them.


In the field of epidemiology and the statistical modeling using artificial intelligence is used to predict the future epidemics.

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