The increasing availability of biomedical data from large biobanks, electronic health records,
medical imaging, wearable and ambient biosensors, and the lower cost of genome and …

Incorporating sensing and therapeutic capabilities into everyday textiles could be a powerful
approach in the development of personalized healthcare. The creation of such smart textiles …

Emerging piezocatalysts have demonstrated their remarkable application potential in
diverse medical fields. In addition to their ultrahigh catalytic activities, their inherent and …

Abstract The Fourth Industrial Revolution may help many sectors and industries, whereas
healthcare will be significantly impacted. Medical advances will be swifter, better and more …

Federated learning allows distributed medical institutions to collaboratively learn a shared
prediction model with privacy protection. While at clinical deployment, the models trained in …

The year 2020 should have been the start of an exciting decade in medicine and science,
with the development and maturation of several digital technologies that can be applied to …

The importance of data-driven decisions and support is increasing day by day in every
management area. The constant access to volume, variety, and veracity of data has made …

Banyak dari masyarakat menerima begitu saja teknologi informasi dan komunikasi modern
yang bahkan tidak dapat diakses beberapa dekade lalu. Inovasiinovasi teknologi informasi …

This Perspective explores the application of machine learning toward improved diagnosis
and treatment. We outline a vision for how machine learning can transform three broad …

Federated learning (FL) is a method used for training artificial intelligence models with data
from multiple sources while maintaining data anonymity, thus removing many barriers to …