Home Clinical Research Courses Help One to Use AI in Conducting Efficient Trials

Clinical Research Courses Help One to Use AI in Conducting Efficient Trials

Press Release: March 30, 2020

In the present scenario, AI is included in various aspects of the clinical trial. It ranges from analyzing real-world-data and scientific information to offering improved patient stratification and predictive outcomes. Furthermore, it aids with diverse aspects of clinical trial operations. There are a few technologies that use AI and machine in clinical trials. This article will tell you about some of the technologies fit within the clinical trial system and the way it will influence future clinical trial designs

The Use of AI Solutions in Three Areas

In the clinical research industry, clinical trials are such an area which has a great potential for optimization. Research also supports this fact as only 12% of drug development programs ended in success in a 2000-2019 study according to recent research.  There are several reasons for the low success rates such as the failure to demonstrate efficacy or safety, faulty study design, participant drop-outs or unsuccessful recruitment. Therefore, vendors will focus on the use of AI-based software in three main areas: information engines, patient stratification, and clinical trial operations.


Information Engines

Natural Language Processing will be used in this area. It will mostly be used to get analysis and decision making from structured and unstructured data from various sources. They may include medical records, relevant guidelines, real-world data, and other sources. Professionals mainly concentrate on enhancing the quality, efficiency and success rate of clinical trials.  Clinical research courses focus on the efficacy of medicines and clinical trials too.

Patient Stratification

The second area of clinical trial design and optimization is by carrying out improved patient stratification. This area ensures that trials are being conducted on the right patients. Furthermore, it is also ensured that their drug responses are kept in track to ensure that conclusions can be drawn from a trial. There are several technologies such as AI-based Image analysis. Finally, speech biomarkers and patient interactions with electronic devices and touchscreens are used to detect and track the progression of neurological disorders during clinical trials. Clinical research courses also have their share in informing professionals on how to choose the right patients.

Clinical Trial Operations

The third area where AI is being implemented is Clinical Trial Operations. AI is being used by AI-Cure and Brite Health to monitor how patients respond to treatment. This is done with the help of visual and audio data. Furthermore, it determines if the treatment is working for patients. Finally, it will help keep compliance with trial procedures and minimizes the dropout of patients. Clinical research courses will also give knowledge on compliance of trial procedures and patient retention.

In summary, AI will transform the way of functioning of clinical trials. It will also help retain the number of volunteers in a trial. Furthermore, clinical trials will get better responses. Therefore, clinical research courses help one get knowledge about the latest trends in the industry.


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