A new study published in Genome Research presents an interpretable artificial intelligence framework that improves both the accuracy and transparency of genomic prediction, a key challenge in fields ...
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 ...
Innovative machine learning models using routine clinical data offer superior stroke risk prediction in atrial fibrillation, ...
Researchers from the University of South China and Purdue University have developed ultra-high strength, high-ductility steel ...
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 ...
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 ...
This article examines the work of data scientist Sai Prashanth Pathi in AI for credit risk, focusing on explainable machine ...
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