Endoscopy-based deep learning algorithms demonstrate higher sensitivity and specificity than endoscopists overall in detecting early esophageal squamous cell carcinoma.

Next-generation instruments improve rare-cell detection, sterility control, biosafety, and throughput for translational ...

A research team led by Minyoung Lee and Sunggyu Park of The Korea Institute of Materials Science (KIMS) Bio & Health ...

New agreement is a significant commercial milestone and the Company’s first with its contract research organization partnerAgreement expands ...

Background C-reactive protein (CRP) is commonly used to assess systemic inflammation, yet its prognostic value in acute ...

Key market opportunities in RF-detection technologies involve advancements in signal processing, wireless communications, radar systems, and security applications. Growth is driven by diverse sectors ...

Cells sitting side by side in the same tissues are not identical. Each cell carries its own subtly different chemical ...

A cutting-edge mini-review published in the inaugural issue of Targetome elaborates on the value of proteome-wide ...

Due to the lack of specific Western medicine therapies for post-coronavirus disease 2019 (COVID-19) syndrome in clinical practice, this study aimed to ...

Researchers at The University of Osaka have developed an improved technique called “tapping-mode scanning probe electrospray ...

Multiomics data integration with machine learning has become the standard approach for combining genomic, transcriptomic, proteomic, and metabolomic measurements collected from the same biological ...

Individual alpha peak frequency and aperiodic neural activity shape theta-beta ratio estimates, limiting their value as an ADHD biomarker.