In this current day, Artificial Intelligence is included in number of aspects of the clinical trial. It ranges from recognizing real-world-data and scientific information to offering improved patient stratification and predictive outcomes. Moreover, it aids with diverse aspects of clinical trial operations. There are some technologies that use artificial intelligence and machine in clinical trials. This blog is about some of the technologies fit within the clinical trial system and the way it will influence future clinical trial designs.
Use of AI 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.
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 Artificial Intelligence is being implemented is Clinical Trial Operations. Artificial Intelligence 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, Artificial Intelligence 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.