A fast and accurate surrogate model screens over 10,000 possible metal-oxide supports for a platinum nanocatalyst to prevent sintering under high temperatures. Metal nanoparticles catalyze reactions ...

Influence of MRIs performed in a 6-week interval on the histopathological detection of prostate cancer with different PIRADS classifications: A real-world data analysis.

Artificial intelligence (AI) is a two-edged sword. While AI and machine learning (ML) models are powerful, they can be known to make egregious mistakes. For example, the integration of AI and ...

The course emphasizes interpretable machine learning techniques and their applications in the financial services industry. Students will develop machine learning models, explain model predictions, and ...

William Chiu (MSiA '13) works in the fast-paced world of finance, where algorithms often make decisions that impact millions of lives and even more dollars. Now he's helping MLDS students develop ...

A new machine learning model built using a simple and interpretable approach predicts in-hospital death in patients with acute liver failure and reveals top risk drivers.

This new article publication from Acta Pharmaceutica Sinica B, discusses establishment of interpretable cytotoxicity prediction models using machine learning analysis of transcriptome features.

Machine learning enhances proteomics by optimizing peptide identification, structure prediction, and biomarker discovery.

This research initiative highlights the importance of ethical and explainable artificial intelligence in workforce ...

Intramolecular charge transfer (ICT) is one of the most important photophysical mechanisms in organic fluorophores. Among ICT processes, TICT ...