AI 4
Generate enrollment scenarios, with site selection, specific competitive and pipeline analysis, and protocol briefs with analytics and data on historical clinical trials.
Written by Liv
Making Medicine From Brainstorming
I have been a patient. I have been behind the patient - as a facilitator of care - learning from leaders in healthcare from the age of 12 across various departments including A&E, Hematology and Forensic Pathology in Hong Kong, Neurology in London, Gastroenterology in Poland, to various surgical departments in Palo Alto and NY. I have seen the present path to delivering medicines to patients - learning from pioneers in clinical research from the age of 18 from academic clinical researchers at my time in Neuroplasticity at UCL and the incredible founding team at COMPASS Pathways who set the path for radical change in how we approach mental health and making medicines. I have come to understand the complexity of how we make and deliver medicines very deeply, across disease areas, across countries and across the patients, nurses, doctors, and stakeholders across the clinical development pathway from patient advocates to site coordinators to pharma executives to CEOs.
My goal with this clinical research tool is to turn all above complexity into something that is very simple. I have designed this platform iteratively for the last 5 and a half years. It has been made possible by my incredible friends and team members including Dr. Riyan Moussaoui MD, Dr. Pejavak Moghimi, PhD, Tariq Jamal, Darsh Jadhav, Miguel Mendao, Dharmesh Raithatha, Liam Eves, Tihomir Jauk, Elena Ionescu, John Bohossian and many others along the way. I am incredibly grateful to for their support and efforts in helping us make this possible. This being a tool that allows anyone to brainstorm their idea about a medicine and turn it into the core components of a clinical trial, enabling the operational execution of developing a medicine within minutes…
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.
Think of it as organizing ingredients in a way that actually makes sense so that people can cook meals for their families better…
