Machine learning model predicts protein binding on gold nanoclusters

Researchers in the Nanoscience Center at the University of Jyväskylä, Finland, have developed a pioneering computational ...
MedPage Today

Machine Learning Consensus Clustering to Assess Hyperkalemia Mortality Risk

Those with chronic kidney disease, heart failure, diabetes, and hypertension bear an increased burden of hyperkalemia. Untreated hyperkalemia can lead to life-threatening neuromuscular and cardiac ...
ascopubs.org

Improved Interpretability of Machine Learning Model Using Unsupervised Clustering: Predicting Time to First Treatment in Chronic Lymphocytic Leukemia

PROSPeCT: A Predictive Research Online System for Prostate Cancer Tasks Time to event is an important aspect of clinical decision making. This is particularly true when diseases have highly ...
EurekAlert!

Machine Learning Model predict protein binding on gold nanoclusters - Opens doors for next-generation biomedical nanomaterials

Researchers in the Nanoscience Center at the University of Jyväskylä, Finland, have developed a pioneering computational ...
insideHPC

Google Cloud Says TPU-Powered Machine Learning Cluster Delivers 9 Exaflops Aggregate Power

As HPC enters the exascale era, watchers of the TOP500 list of the world’s most powerful supercomputers will look to see if the updated list, to be released this month at the ISC conference in Hamburg ...
Nanowerk

Machine Learning model predicts protein binding on gold nanoclusters for biomedicine

A generalizable ML framework predicts protein interactions with ligand-stabilized gold nanoclusters, supporting faster design ...