Inspired by nature, various self‐healing materials that can recover their physical properties
after external damage have been developed. Recently, self‐healing materials have been …

Advances in digitizing tissue slides and the fast-paced progress in artificial intelligence,
including deep learning, have boosted the field of computational pathology. This field holds …

Artificial intelligence (AI) can extract visual information from histopathological slides and
yield biological insight and clinical biomarkers. Whole slide images are cut into thousands of …

Lung cancer, also known as pulmonary cancer, is one of the deadliest cancers, but yet
curable if detected at the early stage. At present, the ambiguous features of the lung cancer …

With an estimated five million fatal cases each year, lung cancer is one of the significant
causes of death worldwide. Lung diseases can be diagnosed with a Computed Tomography …

Endomyocardial biopsy (EMB) screening represents the standard of care for detecting
allograft rejections after heart transplant. Manual interpretation of EMBs is affected by …

The study of superconductivity in compressed hydrides is of great interest due to
measurements of high critical temperatures (T c) in the vicinity of room temperature …

Abstract Propyne/propylene (C3H4/C3H6) separation is an important but challenging
industrial process to produce polymer‐grade C3H6 and recover high‐purity C3H4. Herein …

Artificial intelligence and machine learning (AI/ML) models have been adopted in a wide
range of healthcare applications, from medical image computing and analysis to continuous …

Ensuring diagnostic performance of artificial intelligence (AI) before introduction into clinical
practice is essential. Growing numbers of studies using AI for digital pathology have been …