Improved visualization of perivascular spaces on T2-weighted imaging with deep learning-based denoising and super-resolution reconstruction. [PDF]
Hirano Y +7 more
europepmc +1 more source
The metabolic syndrome, a state of progressive metabolic dysfunction, injures the peripheral and central nervous systems, promoting peripheral neuropathy (PN) and cognitive impairment (CI), respectively. We posit PN and CI are connected in the metabolic syndrome framework, built on the premise that neurons, whether in the peripheral or central nervous ...
Masha G. Savelieff +3 more
wiley +1 more source
Research progress of artificial intelligence in high-throughput drug screening. [PDF]
Liu X +8 more
europepmc +1 more source
Liposomal Delivery of L‐2‐Hydroxyglutarate for Targeting Epigenetic Dysregulation in Osteoarthritis
Osteoarthritis involves cartilage degeneration, inflammation, and epigenetic dysregulation. A liposomal formulation of the TET1 inhibitor L‐2‐hydroxyglutarate to overcome rapid joint clearance was developed. The formulation showed good physicochemical properties, reduced inflammatory and catabolic gene expression in chondrocytes, and alleviated ...
Denise Murgia +10 more
wiley +1 more source
Harmonized Dual Deep Learning Architectures for Image-Based Diagnostics of Skin Neglected Tropical Diseases: Benchmark Study via Novel Funnel Framework. [PDF]
Minyilu Y, Yimer MA, Meshesha M.
europepmc +1 more source
Turning a new leaf: PhenoVision provides leaf phenology data at the global scale
Abstract Premise Plant phenology dictates many aspects of community function and ecosystem dynamics. Yet, global phenology data are still limited, especially in areas lacking monitoring programs. Here we present a new data resource, PhenoVision–Leaf, which extends a computer vision pipeline utilizing iNaturalist digital image vouchers to produce global‐
Erin L. Grady +6 more
wiley +1 more source
Advancements in artificial intelligence for cancer diagnosis and prognosis prediction: current applications and emerging opportunities. [PDF]
Shi Q, Lou N, Xue C.
europepmc +1 more source
ABSTRACT The detection of buried or obscured archaeological features remains a central challenge in landscape archaeology, particularly in the irrigated floodplains of Mesopotamia where levees and canals formed the basis of complex agrarian systems. This study presents a deep learning–based approach for the large‐scale, automated detection of ancient ...
Nazarij Buławka +4 more
wiley +1 more source
Deep learning in the early diagnosis of acute aortic dissection. [PDF]
Eggleton S, Ryan J, Gallego B.
europepmc +1 more source

