Based on these challenges, a comprehensive reassessment of how AI should be deployed in electrocatalysis has become urgently needed. Addressing this need, a review published (DOI: 10.1016/j.esci.2025.

Across sessions, speakers emphasized that AI is not a replacement for physician judgment.

Machine learning algorithms that output human-readable equations and design rules are transforming how electrocatalysts for ...

Tu, H. and Huang, Y.Y. (2026) Progress in Quantitative Imaging Assessment of Dermatomyositis-Associated Interstitial Lung ...

Peptide therapy consists of a unique pharmaceutical class of agents that are constructed of a range of organized amino acids.

In the pursuit of solutions to complex global challenges including disease, energy demands, and climate change, scientific ...

Abstract: The accurate segmentation of blood cells is crucial in determining a wide range of hematological disorders. Therefore, in this paper, we investigated the most accurate and efficient blood ...

EIB venture financing to scale up TWAICE’s predictive battery analytics for Europe’s energy transition.Enabling safer, more profitable battery ...

CHARLESTON, S.C. (WCSC) — Mary Brucato wasn’t the first person to die at the Al Cannon Detention Center and likely won’t be the last. She was arrested on drug charges in August of last year. For two ...

Purposes: To develop a combined model integrating multi-channel deep learning features, radiomics features, and clinical variables for noninvasive pathological grading of clear cell renal cell ...

Researchers at Osaka Metropolitan University have discovered a practical way to detect and fix common labeling errors in large radiographic collections. By automatically verifying body-part, ...

During early development, tissues and organs begin to form through the shifting, splitting, and growing of many thousands of cells. A team of researchers headed by MIT engineers has now developed a ...