Our study is motivated by evaluating the role of hematopoietic cell transplantation (HCT) after chimeric antigen receptor T-cell (CAR-T) therapy for ALL, a debated topic. Because patients may receive ...

Abstract: Conventional soft clustering algorithms perform well on linearly distributed features, but their performance degrades on nonlinearly distributed features in high-dimensional space. In this ...

This repository contains meal timing data from 459 Mexican university students and implements 4 clustering methods to identify chrononutrition patterns: . ├── data/ │ ├── chrono_patterns_n459.csv # ...

The schematic illustrates the comprehensive pipeline for Mendelian randomization analysis, starting with multi-omics data inputs from GWAS, eQTL, and pQTL studies, sourced from major databases such as ...

Huawei is ramping up its AI computing systems just as U.S. chipmaker Nvidia is running into challenges in the mainland. The Chinese tech giant claimed that the new supernodes would be the world's most ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...

Nathan Eddy works as an independent filmmaker and journalist based in Berlin, specializing in architecture, business technology and healthcare IT. He is a graduate of Northwestern University’s Medill ...

India’s Reliance Industries and UK supermajor BP are lining up multiple subsea deals as the duo start to push ahead with further development of their R-Cluster development in India's gas-rich Krishna ...

There is no doubt that artificial intelligence (AI) is transforming industries in many ways, but training complex AI models demands immense computational power. This is where GPU clusters come into ...

The Deepseek R1 model is transforming the artificial intelligence (AI) landscape with its innovative reasoning capabilities, open-source framework, and cost-effective approach. Developed by a Chinese ...