We are transforming the world of clinical research through artificial intelligence-powered technology…reducing clinical trial times, increasing clinical trial productivity and success rates, and improving costs; all of which result in greater advancements in medicine.
Since clinical trials are the path to ensuring the efficacy and safety of new treatments and medications, it behooves us to incorporate the power of artificial intelligence (AI) into the clinical trial process for the sake of optimization, giving rise to superior understanding, diagnosis, treatment and the prevention of disease.
Although an excellent method of testing drugs and advancing medicine, clinical trials can be lengthy, each usually lasting years; with clinical trial early stages including testing body responses in just a limited number of human subjects, clinical trial phase I increasing the number of people and testing scope to identify potential side effects and determine safe dosages, phase II testing hundreds of patients (This is also typically where a placebo would be introduced if applicable.), phase III increasing to test thousands of people for all of the above and to compare to existing treatments or medications; and phase IV continuing testing throughout the introduction to and drug use by the general public.
Introducing AI to the clinical trial mix can improve clinical research speed and, subsequently, clinical trial costs. However, there are several areas, aside from the speed of actual clinical research, in which clinical trials can benefit from AI, including patient retention and recruitment. Clinical trial patient recruitment and retention can be improved through both perceived and actual convenience to clinical trial patients with AI.
AI can ensure that clinical trial facilities have the ability to institute real-time safety insights and there is wearable AI technology which can enrich the patient experience and reduce the risk of patient loss. AI can also add to patient convenience by helping to facilitate in-home blood tests and rapid testing, and eliminating the need for certain lab visits and saving time. In addition, AI can aid in instances when off-site monitoring is absolutely necessary, such as with nursing homes and quarantine situations. AI is proven to improve clinical trial facilitation, monitoring and data collection, all of which can enhance the patient clinical trial experience and perception.
AI data analytics and automation – which convert enormous amounts of raw data into usable, shared data and foster collaboration and improved understanding of disease – have led to a multitude of technological advancements within clinical trials, including:
- the improvement of recruitment protocol design, resulting in expanded recruitment;
- superior analysis and interpretation of data, as well as the comparison against existing data;
- the creation of databases for the purpose of improving patient to trial matches – selecting patients more likely to tolerate and respond to treatment and/or reduce variability in clinical trial results;
- monitoring and thereby improving site performance; accelerating the clinical research volunteer consent process; expanding nets cast for the purpose of more diverse recruitment;
- and streamlining and expediting business interactions between clinical trial sponsors and clinical research facilities.
Digital and AI slides are also trending, further improving accuracy and efficiency in clinical trials.
AI can optimize data collection, sorting, coding, storing and management. It can eliminate the element of human error. In addition, AI-powered technology can help to facilitate and expedite the seamless integration of collected data with other databases. These increases and improvements in data collection and evaluation over multiple platforms can result in quicker and more successful clinical trial results.
Additionally, medications and clinical visits can be tracked, medical reminders can be provided, visual confirmations can be made available and alerts can be triggered…all through AI-powered applications, wearables, biosensors and other connected devices.
The clinical research facility itself and its staff also play an important role in clinical trials. Things like facility and protocol functionality, amenable and accessible location, and clinician experience and expertise all contribute to the success of a clinical trial.
Many specific findings discovered through the use of AI in clinical research are also beneficial, such as AI data developing predictive models which can perform some amazing feats. For instance, Yale University research suggests that AI may predict drinking relapses in alcoholics before they occur, enabling medical professionals and patients to adjust treatments and avoid relapses. According to Harvard researchers, AI is also utilized to minimize pain and nervousness during treatment, as well as enhance the healing process…and those are only two examples.
The future of AI within clinical trials is also very promising. AI is anticipated to widely impact clinical trials this year and beyond with a wealth of technological solutions, shared beneficial information through decentralized trial designs and unsurpassed efficiency protocols.
A trendsetter in clinical research and the medical advancements it affords, Velocity Clinical Research is an award-winning research facility staffed with highly trained doctors and research professionals who use the latest technological advances and work closely with our clinical trial volunteers to monitor and assess the benefits and effectiveness of certain treatments.
Velocity Clinical Research clinical study volunteers are compensated, no health insurance is required and clinical research volunteers may benefit from the use of medications or treatments before they are available to the general public. If you think you might want to help the medical professionals at Velocity Clinical Research help improve lives through new treatments and medication, simply contact us to learn about our upcoming clinical trials and see if you qualify. You can reach Velocity Clinical Research at 386-428-7730 Monday through Thursday from 7 a.m. to 5 p.m. or Friday from 7 a.m. to 12 p.m.; email email@example.com or access the patient portal on the Velocity Clinical Research website at riversideclinicalresearch.com.
Velocity Clinical Research is conveniently located at 1410 S. Ridgewood Avenue in the beautiful beachside community of Edgewater, Florida.