Harnessing AI-driven patient matching and predictive analytics, Tevogen.AI aims to address challenges within clinical trials around patient identification, enhancing patient outcomes, expediting ...

Scientists have used an AI model to reassess the results of a completed clinical trial for an Alzheimer's disease drug. They found that the drug slowed cognitive decline by 46% in a group of ...

AI-guided patient stratification improves outcomes and efficiency in the AMARANTH Alzheimer’s Disease clinical trial. Nature Communications. doi.org/10.1038/s41467-025-61355-3.

AI is increasingly being adopted by sponsors for various applications in clinical trials, including optimising trial design, identifying suitable patients and analysing data, among other uses ...

In clinical settings, it can serve as a decision-support tool, saving doctors valuable time during diagnoses," said Dr Zhiyong Lu, a senior researcher at the National Institutes of Health and ...

NEW YORK-- (BUSINESS WIRE)-- QuantHealth, an AI-powered clinical trial simulation company, today unveiled its Large Real-World Drug Model (LRDM v1.0), a first-of-its-kind clinical trial foundation ...

With fine-tuned AI models, OpenAI, Babylon aim to predict clinical trial successes By Conor Hale May 14, 2025 9:30am OpenAI patient recruitment clinical research Artificial Intelligence ...

Scientists have used an AI model to reassess the results of a completed clinical trial for an Alzheimer’s disease drug. They found the drug slowed cognitive decline by 46% in a group of patients ...

AI and ML approaches can be implemented in clinical trial data management and analysis to standardize unstructured clinical data (eg, free-text notes); harmonize data across multiple variables, trial ...

Tech & Science Venkata Krishna Bharadwaj Parasaram’s AI expertise is transforming clinical trials & leading to the creation of real-time monitoring By Jon Stojan Published July 9, 2025 ...