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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