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How artificial intelligence can transform clinical trials.

It is evident that AI is redrawing healthcare landscape. But what is AI? – Artificial intelligence (AI) is the simulation of human intelligence processes by computer systems. In healthcare and particularly clinical trials, AI potential is vast.  Just like AI and robotics are disrupting our daily lives, it is the same way they will increasingly become a part of clinical trials. AI health market is estimated to reach $6.6 billion by 2021 meaning the market will grow by 40% annually.

Such growth is huge for clinical trials-here is how Artificial Intelligence Can Transform Clinical Trials.

1.    Improve Medication Adherence

AI-IoT technology can help to monitor patient adherence to clinical trial protocols and medicine intake. Biosensors can be fused with AI technologies to continuously monitor patients and offer daily feedback. A good example is the use of mobile tech to send reminders to patients as well as invest in IoT to track medicine intake.  AiCure has adopted facial recognition algorithms to track medication adherence.

The AI software can further be used to monitor lifestyle. The technologies can help identify and monitor bio-parameters such as glucose levels which are essential metrics in drug trials and AI helps to spot abnormal behaviors.

 AI-IoT can hence improve the outcomes of clinical trials by providing reliable and real-time data while monitoring behavioral and physiological alterations in patients.

The results are reduced costs and minimization of difficulties traditionally associated with on-site check-ups.

2.   Use of AI to Improve Clinical Trial Enrollment

Artificial Intelligence Can Transform Clinical Trials

A major challenge in clinical trials is matching patients with the right trials. The process is time consuming as well as challenging.  Over 80% of clinical trials fail due to inability to meet enrollment deadlines but this could change with AI adoption.  Artificial intelligence software can be used to extract relevant patient data from medical records and match them with relevant clinical trials.  Unfortunately, there is the challenge of unstructured healthcare data that must first be overcome. However, with platforms such as StudyProtocol that allows volunteers to submit their detailed interest in clinical research indications and provide updates on new clinical trials and interests. The platforms can then partner with CROs, pharmaceutical sponsors and research institutions to smoothly identify the right pool of patients for a particular clinical trial.

Additionally, this platform uses Artificial Intelligence to identify and refine interest audiences of potential volunteers for clinical trials. Using internal data in conjunction with inputs from multiple sources, it can deliver a very aligned and refined audience of interested volunteers for specific clinical trials. This allows, the research institute to match its clinical trials to the right volunteers. This is one of the many areas in which Artificial Intelligence Can Transform Clinical Trials.

3.   Use of AI in Building better Protocol Designs

Artificial Intelligence Can Transform Clinical Trials

Protocol execution and clinical trial design determine the failure or success of medical research. Poorly structured clinical trials can result in higher costs, incorrect data, delays and enrollment difficulties.  Faults in the collected data can continue to affect future models and designs of subsequent clinical trials.  AI application is the solution.

AI can be used to cross-check vast sets of data from previous trials to identify similarities and potential areas of adjustment.  The data can be used to build smarter protocol designs for clinical trials.  Besides, using the data, it is easier to calculate the probability of success or failure in protocol designs. AI tools are hence effective in helping clinical researchers manipulate data and information to make strategic decisions regarding clinical trials.  


AI is capable of disrupting every phase of clinical trials. It is high time researchers embraced these new technologies to launch life-saving drugs with no time and make huge wins for patients that need them most.

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