Other Data Collection for
Machine Learning
As technology and artificial intelligence dominate our day to day life, we utilize the benefits of AI and machine learning in our clinical trials designs to collect different data to better understand treatment effects and optimize AI-driven healthcare solutions.
At 3S Pharma, we offer true end-to-end support of your clinical studies in order to simplify study design to:
- offer greater efficiency in managing big volumes of study data
- enhance security and accuracy of the clinical trial
- data validation
- speed up the process and data collection
- improve the outcomes of the clinical study
- protect data integrity
- reduce administrative costs
- analyze and cross-reference data from multiple sources simultaneously (patient records, EHRs, laboratory results and other data sources)
With the help of AI, we can conceive clinical trials design that integrate data collection for machine learning to help streamline data administration for better accuracy, optimal decision and process support, with a strong focus on quality control and regulatory validation.
Also, this digitized, innovative method of gathering data for clinical studies help us create novel methods in the design of the study that can accelerate the process and may be prone to unexpected errors and biases that can, at times, threaten the success of the trial.
At 3S Pharma, we use data collection for machine learning not only in the clinical trials, but also in preclinical medicine discovery stage, pre-trial planning through study execution to data management and analysis. This is a key asset that alleviates some of the challenges associated with planning and analyzing data collected from large scale clinical trials.
With over 25 years of tradition on the market, our data engineers are experienced in successfully managing various machine learning methods and AI tools for specific needs of our clients integrated in the design of the clinical study.
Through our large international expertise, we deliver personalized designs with regulatory compliance and high accuracy level in data management (collection and interpretation). Our goal is to minimize errors and to maximize the outcomes, by validating data and cross-comparing it to other methods.
We pride ourselves with designing over 1500 clinical trials focused on quality assurance techniques to ensure the data is reliable and suitable for analysis.
Our work is completed by a sustained scientific activity performed by our researchers as proved by a series of relevant publications in international peer reviewed journals and by the participation in public research projects in cooperation with other institutions (Universities, National Research Centers).
We bring safety and peace of mind to your studies as clinical studies performed by 3S in Romania as well as in Moldova were inspected by different European Authorities: French, Dutch, German, Austrian, Romanian, Danish on behalf of EMA, etc.; Moldova also by FD
Join us in transforming healthcare! We can help you bring your innovations to the market faster and safer.
