AI 4

Clinical Research
Clinical Research

Generate enrollment scenarios, with site selection, specific competitive and pipeline analysis, and protocol briefs with analytics and data on historical clinical trials.

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Making Medicine From Brainstorming

The clinical development process is among the most complex and resource-intensive endeavors in healthcare. Neuroute was designed leveraging personal and professional experiences across multiple medical disciplines, geographies, and stages of the clinical research pipeline, aiming to contextualize and introduce a transformative clinical research tool. The current version of Neuroute is an amalgamation of five and a half years of design and technical iteration with the support of a multidisciplinary and international team, this tool simplifies the complexities of clinical research and empowers individuals to transform medical ideas into actionable clinical trial frameworks.

The clinical development process requires a high degree of collaboration among scientists, healthcare professionals, regulatory bodies, and stakeholders. Despite advances in technology and methodology, the pathway to new treatments remains challenging, often hindered by inefficiencies and barriers to accessibility. Neuroute is a novel platform designed to reimagine how clinical trials are conceptualized and operationalized. 

Every therapeutic indication presents unique challenges in clinical development, requiring specialized knowledge and nuanced strategies. Traditionally, the industry has relied heavily on consultants with deep expertise in specific indications and regions. These experts remain invaluable, as the human element in clinical development is crucial. However, as clinical development becomes an increasingly global process, there is a growing need to supplement this expertise with access to comprehensive, globally integrated data.

To address this, Neuroute was designed to provide biotech and pharmaceutical companies with access to insights across all countries and therapeutic areas. By enabling access to diverse datasets and operational intelligence, this tool seeks to equalize opportunities in clinical development and promote equitable healthcare outcomes worldwide. The goal is to empower users to navigate the complexities of global clinical research with enhanced precision and efficiency, fostering innovation and inclusivity across geographies and populations.

Why do you want to make science?

Input your indication and intervention

turn this

I want to solve Parkinson’s Disease by giving patients a new drug that I’m making

into this

Protocol Design

Site Selection

Enrollment Scenarios

Study Plan

Why do you want to make science?

Input your indication and intervention

turn this

I want to solve Parkinson’s Disease by giving patients a new drug that I’m making

into this

Protocol Design

Site Selection

Enrollment Scenarios

Study Plan

Why do you want to make science?

Input your indication and intervention

turn this

I want to solve Parkinson’s Disease by giving patients a new drug that I’m making

into this

Protocol Design

Site Selection

Enrollment Scenarios

Study Plan

How The Product Works in Detail

How The Product Works
in Detail

We take a prompt from the user and iteratively provide data based on historical clinical trials which allows them to think through their protocol design including how well I/E criteria and outcomes have previously performed based on their inputs, From the design, the user is able to access specific data on competitors, select relevant companies that have done something similar and then use this information to select their sites before building enrollment scenarios. It is sort of like if you combined all of Citeline’s products into 1 simple interface that did not require you to search or have data sent via emails that required additional analysis. Our goal is that the analysis is already done for you in a way you can easily get to the end result without having to do much additional work. This means that the tool could be used by any researcher or even passionate academic student without having to fully understand the complexity and intricacies of every problem within a given indication area. This means that more people will be able to make medicines, and that existing medicine makers can save time and spend their money better.

Acknowledgements

The creation of this platform was made possible through the collaboration of a multidisciplinary team. Contributors include Dr. Pejavak Moghimi, PhD; Tariq Jamal; Darsh Jadhav; Miguel Mendao; Dr. Riyan Moussaoui, MD; Dharmesh Raithatha; Liam Eves; Tihomir Jauk; Elena Ionescu; John Bohossian; and others. Their expertise and dedication have been integral to the tool's iterative design and development, ensuring its alignment with the diverse needs of the clinical research community.

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Turn ideas into medicine

Turn ideas into medicine

Turn ideas into medicine