New 4D-STEM method isolates atomic structures from clustered nanocrystals

Scientists at the Department of Energy's Lawrence Berkeley National Laboratory (Berkeley Lab) have developed a new way to ...

Rebuilding faces and identifying tattoos, AI joins the search for the missing in Mexico

For some years now, groups, universities, organizations and authorities have developed and implemented AI for data analysis, ...
Open Heart

Artificial intelligence-based clustering to identify functional risk phenotypes in heart failure

Background Patients with heart failure (HF) frequently suffer from undetected declines in cardiorespiratory fitness (CRF), ...
IEEE

Specific Emitter Identification Algorithm Based on Electromagnetic Gene Feature Extraction

Abstract: As the complexity of electronic warfare continues to grow, the role of specific emitter identification (SEI) technology in electronic reconnaissance becomes increasingly significant.
Frontiers

Identification of programmed cell death and mitochondria correlated biomarkers for Kawasaki disease by integrated bioinformatics and machine-learning algorithms with RT-qPCR ...

Using the GSE73461 dataset as a training set, we identified Kawasaki disease-related differentially expressed genes. These were intersected with curated programmed cell death-related and mitochondrial ...
IEEE

Abnormal trajectory identification in terminal area based on cluster analysis of flight trajectory data

Abstract: Aiming at the increasingly complex air traffic operation environment and other problems, a density-based trajectory clustering algorithm is utilized to accomplish abnormal trajectory ...
The Lancet

Long-term oncological outcomes following algorithm-based care versus usual care for the early recognition and management of complications after pancreatic resection: a post-hoc ...

aDepartment of Surgery, Regional Academic Cancer Center Utrecht, UMC Utrecht Cancer Center & St Antonius Hospital Nieuwegein, Utrecht University, Utrecht, Netherlands bDepartment of Medical Oncology, ...