Flexible electronics have recently gained considerable attention due to their potential to
provide new and innovative solutions to a wide range of challenges in various electronic …

Multiomics data including imaging radiomics and various types of molecular biomarkers
have been increasingly investigated for better diagnosis and therapy in the era of precision …

Streamlined data-driven drug discovery remains challenging, especially in resource-limited
settings. We present ZairaChem, an artificial intelligence (AI)-and machine learning (ML) …

Alzheimer's disease (AD) is an irreversible neurodegenerative brain disorder that degrades
the memory and cognitive ability in elderly people. The main reason for memory loss and …

An effective blood-based method for the diagnosis of colorectal cancer has not yet been
developed. Molecular alterations of immune cells occur early in tumorigenesis, providing the …

Chemical modulation of proteins enables a mechanistic understanding of biology and
represents the foundation of most therapeutics. However, despite decades of research, 80 …

Identification of isocitrate dehydrogenase (IDH)-mutant glioma patients at high risk of early
progression is critical for radiotherapy treatment planning. Currently tools to stratify risk of …

Advancements in high–throughput microscopy imaging have transformed cell analytics,
enabling functionally relevant, rapid, and in–depth bioanalytics with Artificial Intelligence (AI) …

Hafnium oxide-based ferroelectrics have been extensively studied because of their existing
ferroelectricity, even in ultra-thin film form. However, studying the weak response from ultra …

Due to the lack of experimental toxicity data for environmental chemicals, there arises a
need to fill data gaps by in silico approaches. One of the most commonly used in silico …