Trialshub is a large language model (LLM) and predictive AI designed to solve two sides of the same coin: helping patients find the right trials and lessening the burden of trial managers and coordinators who run the trials. Designed with love and care by a team of clinicians, data scientists, healthcare advocates, and patients.
Navigating the world of clinical trials can be a daunting task, but our clinical trials AI is here to make the process easier and more accessible.
Our clinical trials platform is designed to innovate the way trial coordinators and managers handle participant recruitment and trial management.
Our clinical trials platform is more than just a tool—it's part of a broader community dedicated to supporting and championing participants and their loved ones throughout their clinical trial journey.
This community plays a vital role in ensuring that participants feel valued, informed, and encouraged every step of the way.
Advanced Algorithms
Trialshub utilizes sophisticated algorithms to match users with the most relevant clinical trials. These algorithms consider a wide range of factors, including medical history, eligibility criteria, and trial requirements, to provide precise and personalized recommendations.
Predictive AI
Leveraging predictive AI, our chatbot can forecast the likelihood of a participant meeting trial criteria and their potential engagement level. This helps trial coordinators prioritize high-probability candidates, accelerating the recruitment process and improving trial outcomes.
Large Language Model (LLM):
Trialshub employs its own Large Language Model (LLM) to understand and interpret user queries accurately. This enables it to provide clear, relevant, and contextually appropriate responses, enhancing the user experience and ensuring that users find the information they need quickly.
Sentiment Analysis
Trialshub incorporates sentiment analysis to gauge the emotional tone of user interactions. This allows it to respond empathetically and appropriately, ensuring that users feel understood and supported throughout their search process.
Continuous Learning
Trialshub is designed to learn continuously from user interactions. It refines its responses and recommendations over time, improving accuracy and relevance as it gathers more data.
Data Security and Privacy
We prioritize the security and privacy of user data. Trialshub adheres to stringent data protection protocols, ensuring that all personal and medical information is securely handled, anonymized and stored.
We are builders, researchers and healthcare advocates.
Machine Learning Engineer and Designer. Formerly at Stanford Research, Endocrine Society and McGill University.
Chief Executive Officer
Previously the Director of Hematology and Cancer Trials at Howard and holding a position in the FDA. Currently a director at Quantum Leap Healthcare.
Healthcare Advisor
Head of Digital Transformation at Morehouse's Clinical Research Center. Founding Co-director of Center for Digital Health.
Science Advisor
Software Engineer and Data Architect previously at Deloitte, Avanade.
Senior Architect
Diverse background serving as a researcher in a broad range of fields from machine learning to experimental psychology.
Clinical Advisor
Machine Learning Engineer Specialist previously developed medical applications for several hospitals.
Machine Learning Engineer
Specializing in LLMs and NLP Applications Saul previously worked in Pinnacle Aerospace and Health Applications.
Machine Learning Engineer
20 Years of experience in Software Engineering, previously at IBM, Morgan Stanley and Telus.
Senior Software Consultant