Predictive Modelling for OA Progression
Our team at MedDots was thrilled to collaborate with Orthoglobe on the development of an AI-powered model for predicting osteoarthritis progression. With our extensive experience in AI and deep learning, we were able to bring a unique perspective to this intradisciplinary project.
The goal of this project was to tackle the ever-growing problem of osteoarthritis and its huge burden on patients, their families, and the healthcare system. To achieve this, we integrated medical data and imaging from a large database of over 6000 patients who were followed for 10 years. This data was used to train a deep learning model that could accurately predict the progression of osteoarthritis in individual patients.
Our team's expertise in deep learning and data analysis was crucial in developing this innovative platform. We worked closely with Orthoglobe to ensure that the model was accurate, reliable, and easy to use. Our approach allowed us to identify key biomarkers and risk factors for osteoarthritis progression, which will be invaluable in developing new treatments and interventions.
Thanks to our collaboration with Orthoglobe, this AI-powered platform has the potential to revolutionise the way we approach osteoarthritis treatment and care. We are proud to have been a part of this project and look forward to seeing the positive impact it will have on patients and the healthcare system.
AI-assisted Image Analysis to Identify Spinal Anomalies
Our team at MedDots was excited to collaborate with academic researchers from UK on the development of an AI-assisted image analysis tool to identify spinal anomalies. With our extensive experience in AI and deep learning, we were able to bring a unique perspective to this project.
The goal of this project was to improve the accuracy and efficiency of spinal anomaly diagnosis. To achieve this, we used a large database of spinal images to train a deep learning model that could accurately identify various spinal anomalies.
Our team's expertise in deep learning and image analysis was crucial in developing this innovative tool. We worked closely with the academic researchers to ensure that the model was accurate, reliable, and easy to use. Our approach allowed us to identify key features and patterns in the spinal images that are indicative of various anomalies.
Thanks to our collaboration with the academic researchers, this AI-assisted image analysis tool has the potential to revolutionise the way we approach spinal anomaly diagnosis. We are proud to have been a part of this project and look forward to seeing the positive impact it will have on patients and the healthcare system..
AI in Drug Development for Alzheimer's disease (AD)
Our team at MedDots is currently collaborating with a biotech company on an exciting ongoing project to discover the potential role of an established drug in the treatment of Alzheimer's disease (AD) using AI technology.
The project aims to leverage the power of AI to analyse large datasets of medical and scientific literature, as well as clinical trial data, to identify potential new uses for existing drugs. By applying advanced machine learning algorithms, our team is working to identify patterns and connections that may indicate the potential efficacy of a particular drug in treating AD.
Our expertise in AI and data analysis, combined with the biotech company's deep understanding of drug development and AD, makes for a powerful collaboration. Together, we are working to uncover new insights and potential treatment options for this devastating disease.
We are proud to be part of this important project and look forward to seeing the results of our ongoing collaboration. Our goal is to help accelerate the discovery of new treatments for AD and improve the lives of those affected by this condition..
