The Nature Index 2025 Research Leaders — previously known as Annual Tables — reveal the leading institutions and countries/territories in the natural and health sciences, according to their output in ...

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 ...

Clinical Interchangeability of PD-L1 Immunohistochemistry Assays in First-Line Non–Small Cell Lung Cancer Management With Cemiplimab Internal iliac and obturator lymph nodes are common sites of ...

This guest essay reflects the views of Nirali Somia, a graduate student at Cold Spring Harbor Laboratory. It is part of a series of essays from current researchers at the Cold Spring Harbor Laboratory ...

Figure 1: Prediction accuracy of diverse methods for traits with complex genetic architecture. Predicting observable traits from genetic variation remains difficult due to the complex interplay of ...

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

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 ...

Discover how explainable AI enhances Parkinson’s disease prediction with improved accuracy and clinical interpretability. Learn more.

From batteries to catalysts, electrochemistry is getting a major boost from machine learning and advanced computational models. Researchers are now predicting redox potentials, ion migration, and ...

Researchers have published research detailing their development of an AI framework to detect defects in additively ...

Can machine learning automatically detect important changes in a material’s Fermi surface from complex and noisy data?