Clinical trials are the backbone of medical progress, but navigating their design and execution can be complex. Fast Data Science is dedicated to helping researchers by analysing clinical trial protocols through the power of Natural Language Processing (NLP).
We are presenting a selection of software which can be used for clinical trial protocol analysis or clinical trial cost prediction and risk assessment.
Fast Data Science’s Clinical Trial Risk Tool (https://clinical.fastdatascience.com) allows researchers to upload a protocol as a PDF, and it uses an AI model to estimate the risk of the trial ending uninformatively.
The Clinical Trial Risk Tool is free to use for pathologies in an international development context such as HIV and TB, Enteric and diarrheal diseases, Influenza, Neglected tropical diseases, COVID, Malaria, and Polio. For trials in Oncology, Motor neurone disease, Multiple sclerosis, Cystic fibrosis, and other pathologies, it will be available on a subscription basis.
Cost your clinical trial protocol
You can read more on our website about how the Clinical Trial Risk Tool works. The tool was a winner of the Plotly Dash Apps Challenge and has been published and peer-reviewed in Gates Open Research.
This web-based platform facilitates the creation, management, and registration of high-quality protocols, particularly beneficial for researchers in low-resource settings (access through The Global Health Network: https://edctpknowledgehub.tghn.org/protocol-development/septre-protocol-tool/)
This SaaS platform targets the financial aspects of clinical trials, assisting biopharmaceutical companies, CROs, and service providers with budgeting, proposal development, and vendor management (https://strategikonpharma.com/clinical-maestro-2/)
SoftFormance provides tools for planning, managing, and tracking clinical study data, promoting efficiency and transparency throughout the research process (https://www.softformance.com/industries/software-for-clinical-trials/).
Gotrial CLINICA is a cloud-based data platform which integrates complex clinical development datasets such as clinical trial data, regulatory approvals, disease or hospital data - amongst others. Find CLINICA at https://www.gotrial.com/#clinica.
TrialPro allows you to import PDF protocols and analyses them on a cloud platform. You can create an account and try the tool for free at https://www.trialpro.ai/.
The Clinical Trial Participant Financial Burden Calculator is designed to help potential clinical research participants/ patients better understand and estimate the financial impact and burden of participation. It doesn’t analyse protocols directly, but you will need to enter the information about the trial manually. Find it at https://trialvalue-burdencalculator.com/.
OpentronsAI uses an interface powered by Generative AI and LLMs, so that scientists can describe experimental protocols in plain language, and OpentronsAI interprets and generates corresponding automated protocol scripts intelligently. Find it at https://opentrons.com/ai.
The Shiny CRT Calculator doesn’t analyse protocols directly but it serves as a tool to calculate power and sample sizes for Cluster Randomised Trials. Find it at https://clusterrcts.shinyapps.io/rshinyapp/.
The best protocol analysis software for your research depends on your specific goals. Whether it’s risk assessment, or financial and capacity planning, a dedicated tool can significantly streamline your workflow.
Fast Data Science is committed to expanding our NLP capabilities beyond HIV and TB. Stay tuned for future updates as we strive to empower researchers across a wider range of clinical trials!
This post originally appeared on Fast Data Science’s blog on LinkedIn. Budgeting for clinical trials is crucial to ensure all study aspects are covered and adequately funded. The process involves detailed planning, considering the scope of the work, and addressing specific trial needs, such as personnel, procedures, and participant-related costs. Critical Areas of Clinical Trial Budgeting: Personnel Costs: Study Procedures: Protocol-Related Fees: Travel, Meetings, and Miscellaneous Costs: Types of Trial Budgets: Overall Budget: The Principal Investigator (PI) manages the entire budget for multi-site or single-site trials.
This post originally appeared on Fast Data Science’s blog on LinkedIn. In clinical research, the journey from a compelling idea to a well-executed study begins with crafting a robust research question and developing a meticulous study plan. This process ensures the study’s feasibility, ethical integrity, and potential impact. Here’s how to transform your research ideas into actionable study plans. Defining the Research Question A research question is the keystone of any clinical study, representing the specific uncertainty the investigator aims to resolve.
This post originally appeared on Fast Data Science’s blog on LinkedIn. A well-constructed study plan is the backbone of any clinical research project. It guides the research process and ensures that the study is feasible, ethical, and capable of generating valid results. Here’s a step-by-step guide to developing an effective study plan. The Research Question The core of your study plan is the research question. It must be specific and significant and address an unresolved issue.
