Sarah Urbut, MD, Ph.D., of the Mass General Brigham Heart and Vascular Institute, is the lead author of a paper published in ...

Researchers developed ALADYNOULLI, a Bayesian generative model that combines longitudinal health records, age, and polygenic ...

The ECB recalibrated its economic models with AI and machine learning, forecasting 3.0% inflation and 0.8% GDP growth for ...

Modular mechanistic modeling enhances mRNA IVT optimization and manufacturing efficiency through predictive bioprocessing insights.

Neutron sources can be directly identified from measured spectra rather than proxies using inference tools adapted from ...

Artificial Intelligence (AI) is transforming industries by automating processes, improving decision-making, and enhancing ...

"The model can adapt its parameters to the measurable properties of the respective nanoparticle." ...

Open-source tools have made MMM more accessible, but reliable results still depend on clean data, thoughtful modeling, and ...

An AI approach has been developed that accurately predicts how quickly drug-delivery materials release therapies, potentially ...

Investments in health systems are essential for achieving effective sustainable and equitable health outcomes. However, ...

The S&P 500’s AI tailwind is strong, but the headwinds may be getting stronger. Lofty stock market valuations leave little ...

Introduction Healthful plant-based foods can improve youth nutrition and contribute to global targets such as Sustainable ...