Autoimmune diseases—including vitiligo, multiple sclerosis, systemic lupus erythematosus, type 1 diabetes, rheumatoid arthritis, primary biliary cirrhosis ...
Artificial Intelligence (AI) has moved from research labs into our daily lives. It powers search engines, filters content on social media, diagnoses diseases, and guides self-driving cars. These ...
A machine learning–based tool accurately predicted risk for recurrent inflammatory activity after DMT discontinuation in MS, highlighting its potential to guide personalized treatment decisions.
The programme is designed for aspiring data scientists, AI enthusiasts, technology professionals seeking to upskill.
Explore how machine learning is revolutionising interstitial lung disease management, enhancing early diagnosis, treatment, ...
Governments have the right to decide how to spend money on science. Modelling shows that making instant cuts to grants ...
Routine blood samples, such as those taken daily at any hospital and tracked over time, could help predict the severity of an injury and even provide insights into mortality after spinal cord damage, ...
Abstract: This paper reports the application of data mining techniques; Support Vector Regression (SVR) and Boosted Regression Tree (BRT) in prediction of students’ academic performance in schools.
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