Advancements in biomedical technologies have significantly facilitated the diagnosis and monitoring of diseases. Nonetheless, traditional diagnostic ...

Is this the beginning of a smarter, faster, more inclusive AI future, or are we opening the door to problems we don’t fully ...

Traditionally, drug discovery relied heavily on trial and error, with long timelines and high costs. The introduction of ...

Carbon emissions continue to increase at record levels, fueling climate instability and worsening air quality conditions for ...

This paper proposes a new physics-guided machine learning approach that incorporates the scientific knowledge in physics-based models into machine learning models. Physics-based models are widely used ...

Severe weather events, such as heavy rainfall, are on the rise worldwide. Reliable assessments of these events can save lives ...

By leveraging neural networks, the emerging field of scientific machine learning (SciML) offers novel approaches to address complex problems governed by partial differential equations (PDEs). In ...

A machine learning framework for predicting cognitive impairment in aging populations using urinary metal and demographic data ...