Results 191 to 200 of about 1,622,308 (337)
Financial Distress and its Determinants in Rheumatoid Arthritis
Objective To quantify the degree of financial distress and identify its determinants in adults with rheumatoid arthritis (RA) given the frequent chronic use of expensive disease modifying therapies. Methods We identified adults enrolled in the FORWARD databank with either RA or non‐inflammatory musculoskeletal disease (NIMSKD) completing the Functional
Amber Brown Keebler +5 more
wiley +1 more source
Exploration of African natural products as VP35 inhibitors to combat Marburg virus infection: Molecular docking, molecular dynamics, and quantum mechanical computations. [PDF]
Abdelrahman AHM +5 more
europepmc +1 more source
LIN28B Promotes Cancer Cell Dissemination and Angiogenesis
Children diagnosed with high‐risk neuroblastoma have a 5‐year event‐free survival rate of less than 50% and poor outcomes after recurrence. Deregulation of the LIN28B oncogene can be addressed in these patients. Upregulation of LIN28B is shown to support the metastatic cascade.
Diana Corallo +8 more
wiley +1 more source
The role of case formulation in the current practice of psychotherapy. [PDF]
Eells TD.
europepmc +1 more source
Borders of Theories for Cooperative Querying over Uncertain Databases
Chourouk Belheouane +4 more
openalex +2 more sources
A Spatially Resolved View on the Aging Substantia nigra: An Exploratory Proteomic Study
Although aging is the most important risk factor for several neurodegenerative diseases, the molecular effects of physiological aging are still understudied. By applying spatially‐resolved proteomic analyses of the human substantia nigra pars compacta, alterations in vesicular trafficking and mitochondrial proteins are observed, as well as reduced ...
Britta Eggers +10 more
wiley +1 more source
Opening strategies in the game of go from feudalism to superhuman AI. [PDF]
Beheim B.
europepmc +1 more source
Bridging Nature and Technology: A Perspective on Role of Machine Learning in Bioinspired Ceramics
Machine learning (ML) is revolutionizing the development of bioinspired ceramics. This article investigates how ML can be used to design new ceramic materials with exceptional performance, inspired by the structures found in nature. The research highlights how ML can predict material properties, optimize designs, and create advanced models to unlock a ...
Hamidreza Yazdani Sarvestani +2 more
wiley +1 more source

