Ensuring Data Accuracy during Clinical Trials in Manual Entries Manual data entry in clinical trials is fraught with risks of inaccuracies. Fast Data Science employs machine learning models to cross-verify and correct data, ensuring that all entries are accurate and reliable. This approach significantly reduces errors and enhances the integrity of the trial data, instilling a sense of security and trust in the process. Please find out how we ensure data accuracy. Learn More: https://lnkd.in/ebFVVKjD #ClinicalTrials #DataAccuracy #Clinicalresearch #FastDataScience #Pharma
Fast Data Science
Information Technology & Services
London, England 514 followers
Data science consultancy specialising in natural language processing (NLP) of unstructured clinical trial text documents
About us
Fast Data Science is a leading consultancy specialising in artificial intelligence (AI), machine learning, and natural language processing (NLP). We excel at extracting valuable insights from unstructured text data, particularly within clinical trial documents for the pharmaceutical and healthcare industries. Our expertise extends to other industries with large volumes of text data, including legal and insurance sectors. Our innovative solutions transform complex data into actionable business intelligence, enabling organisations to make data-driven decisions with confidence. At Fast Data Science, we prioritise clarity, practicality, and effectiveness, ensuring that our clients receive user-friendly and impactful results. Our Mission: To empower organisations by unlocking the potential of their unstructured data through cutting-edge AI and NLP technologies. Our Vision: To be the foremost provider of AI and data science consulting, renowned for our ability to transform unstructured data into valuable business insights across various industries. Our Values: Innovation: Constantly pushing the boundaries of AI and NLP to deliver advanced solutions. Clarity: Providing clear, concise, and understandable insights from complex data. Practicality: Developing solutions that are not only effective but also user-friendly. Trust: Building strong, trustworthy relationships with our clients through exceptional service and communication. Explore how Fast Data Science can help your organisation harness the power of AI and NLP to drive success and innovation. https://fastdatascience.com, https://freelancedatascientist.net
- Website
-
https://fastdatascience.com
External link for Fast Data Science
- Industry
- Information Technology & Services
- Company size
- 2-10 employees
- Headquarters
- London, England
- Type
- Self-Owned
- Founded
- 2018
- Specialties
- machine learning, data science, recommender systems, conversion optimisation, NLP, pharmaceuticals, healthcare, Clinical Trial, and Clinical Trial Risk Tool
Locations
-
Primary
Get directions
55 Sotheby Road
London, England N5 2UP, GB
Employees at Fast Data Science
-
Pa Essa Jabang
Co-founder - Taybull
-
Thomas Wood
Director of Fast Data Science. Analysing unstructured data in clinical trials.
-
Maria Cristina Gomez
I help businesses improve their sites to increase their visibility on Google, Bing, and other search engines.
-
Sam (Soheil) Dolatabadi
mid-Senior Python Programmer and Backend Developer
Updates
-
Thrilled to share this fantastic client review! Thank you for your support! #ClientFeedback #AI #NLP #ClinicalTrials #FastDataScience
-
-
Automating Clinical Trial Protocol Analysis Planning clinical trials involves handling complex protocols. Fast Data Science's NLP model, developed for an international pharma company, reads and analyses these protocols, predicting over 50 output variables. This automation significantly reduces manual effort, enhances accuracy, and provides better cost estimation. Leverage our NLP technology to optimise your clinical trial processes. Explore more: https://lnkd.in/eA2JWZUH
-
-
Streamlining Time-Consuming Data Extraction Manual data extraction from #clinicaltrial documents is time-consuming and prone to errors. Fast Data Science's NLP-powered tools automate this process, quickly extracting critical information and reducing researchers' workloads. This streamlines operations and allows teams to focus on more strategic tasks. Learn more about our automated data extraction solutions: https://lnkd.in/ebFVVKjD #DataExtraction #Automation #FastDataScience #clinicalresearch
-
-
Fast Data Science reposted this
#AAIC24 is coming up and we're excited to head to Philadelphia! James Vornov, Brittani Blazak, and Laurel Spurgeon will be available to discuss your upcoming clinical development projects and how we can drive the success of your neurodegenerative trial. Request a meeting with our team at https://bit.ly/4cT54yY
-
Enhancing Clinical Trials with NLP We at Fast Data Science are revolutionising clinical trial analysis with Natural Language Processing (NLP). Our work with an international pharma company showcases how NLP can process extensive clinical trial protocols, extract critical information, and predict complexity metrics. This advanced technique allows for more accurate cost estimations and streamlined trial planning. Discover how our NLP solutions can transform your clinical trials. Learn more: https://lnkd.in/g72SmXRB #ClinicalTrials #NLP #AI #Pharmaceuticals #FastDataScience #clinicalresearch
-
-
Overcoming Data Inconsistency in Clinical Trial Documents Data inconsistency in clinical trial documents is a significant challenge. Fast Data Science leverages advanced NLP techniques to harmonise and standardise data from diverse sources. Our solutions ensure that data is consistent, reliable, and ready for analysis, enhancing the accuracy and efficiency of clinical trials. Discover how we can help overcome data inconsistency in your clinical trials: Learn more 👉 https://lnkd.in/eHGu74uq #ClinicalTrials #ClinicalResearch #CRO #Sponsors #Pharma #FastDataScience
-
Clinical trial planning is complex, requiring thorough manual assessments. Our Clinical Trial Risk Tool uses natural language processing to estimate risk and cost factors from protocols, extracting crucial info like treatment type and subject numbers. The tool is open-source and available on GitHub. Explore more at Clinical Trial Risk Tool. 👉 https://lnkd.in/ekpdHxXv
Clinical trial cost modelling with natural language processing: AI in pharma
https://www.youtube.com/
-
Soft skills, especially change management, are vital in clinical data management. Attend the Society for Clinical Data Management (SCDM) webinar led by Joy Allen, PhD, CCDM®, to learn about successful changes in processes, technology, and resources. Enhance your skills with proven change management methodologies. Don't miss this opportunity!
Yet often overlooked, soft skills, including the ability to navigate and successfully manage change within the industry, play an essential role in unlocking your full potential as a #CDM professional. Are you ready? 🔊 Led by Joy Allen, PhD, CCDM® of The Prostate Cancer Clinical Trials Consortium (PCCTC) and Memorial Sloan Kettering Cancer Center, our next #SCDM webinar on change management in clinical research will feature examples of successful changes within processes, technology, and resources and showcase proven change management theories and methodologies. Join us on August 1 and feel empowered to drive improvement in your organization ⬇️
This content isn’t available here
Access this content and more in the LinkedIn app
-
Fast Data Science reposted this
BUILDING ONE HOME FOR SITES: Join us July 23rd to watch IQVIA present a thorough overview of One Home for Sites, a platform that aggregates and connects the key systems and tasks a site needs to perform across all the clinical trials it is conducting. Learn more about the platform and the tech partners that have joined! 📅 Register today: https://lnkd.in/eex_7D7U 🗣 Speakers: KK Rumrill, Sr. Director and General Manager, Site & Planning Suites, IQVIA Lesley Freese, Senior Product Manager, One Home for Sites, IQVIA Robert Osterhaus, Director, Global Technology Partners, IQVIA Technologies Beth Dickson, Partner Manager, Greenphire
-