Clinical trial protocol software

Clinical trial protocol software

Shining a Light on Clinical Trial Risk: Exploring Clinical Trial Protocol Analysis Software

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.

1. Clinical Trial Risk Tool by Fast Data Science

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

Estimate trial cost

Upload a clinical trial protocol to the Clinical Trial Risk Tool

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.

2. SEPTRE (SPIRIT Electronic Protocol Tool and Resource)

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/)

3. Clinical Maestro by Strategikon Pharma

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/)

4. SoftFormance

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/).

5. Gotrial CLINICA

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.

6. TrialPro

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/.

7. Clinical Trial Participant Financial Burden Calculator

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/.

8. OpentronsAI

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.

8. Shiny CRT Calculator

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/.

Choosing the right tool for your needs

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!

Clinical Trial Risk Tool featured in Clinical Leader

Clinical Trial Risk Tool featured in Clinical Leader

The Clinical Trial Risk Tool has been featured in a guest column in Clinical Leader, titled A Tool To Tackle The Risk Of Uninformative Trials, in cooperation with Abby Proch, Executive Editor at Clinical Leader. In the article, Thomas Wood of Fast Data Science highlights the problem of “uninformative” clinical trials – those that don’t provide meaningful results, even if the drug being tested is effective or ineffective. He distinguishes these from simply “failed” trials and emphasises the ethical and financial waste they represent.

Presentation about the Clinical Trial Risk Tool at AI|DL

Presentation about the Clinical Trial Risk Tool at AI|DL

On 8 October, Thomas Wood of Fast Data Science presented the Clinical Trial Risk Tool, along with the Harmony project, at the AI and Deep Learning for Enterprise (AI|DL) meetup sponsored by Daemon. You can now watch the recording of the live stream on AI|DL’s YouTube channel below: The Clinical Trial Risk Tool leverages natural language processing to identify risk factors in clinical trial protocols. The Clinical Trial Risk Tool is online at https://clinical.

Clinical trial cost calculator

Clinical trial cost calculator

Understand your clinical trials Are your clinical trials risky? Are costs running away? It’s very tricky to estimate clinical trial costs before a trial is run. Try our free cost calculator. This is a regression model, trained on real clinical trial data. Trial is for condition HIV Tuberculosis COVID Influenza Malaria Enteric and diarrheal diseases Neglected tropical diseases Polio Diabetes Pneumonia Hypertension (see full product) Motor neurone disease (see full product) Multiple sclerosis (see full product) Obesity (see full product) Sickle cell anemia (see full product) Stroke (see full product) Cystic fibrosis (see full product) Cancer (see full product) Other (see full product) Phase Early Phase 1 1 1.