Results 221 to 230 of about 98,806 (295)
Primary Amyloidosis Unmasked by Gastric Biopsy: A Case Report. [PDF]
Youssef T +7 more
europepmc +1 more source
From CyBorD to dara-CyBorD, ASCT utilization trends in AL amyloidosis: a 15-year analysis [PDF]
Eli Muchtar +19 more
openalex +1 more source
Nicotinamide Attenuates Complement and Coagulation Pathways and Resultant Renal Fibrosis
The coagulation and complement cascades were elevated in the pathogenesis of chronic kidney disease (CKD) and may contribute to both kidney injury and cardiovascular risk. These excessive signals and the associated innate immune responses were suppressed by the NAD+ precursor nicotinamide (NAM).
Saori Kin +6 more
wiley +1 more source
Cardiac Amyloidosis in the Real World: Clinical Presentations, Disease Overlap, and Therapeutic Imperatives. [PDF]
Ali K +6 more
europepmc +1 more source
A Sustainable Visible Light‐Mediated Synthesis of Benzoxazole 2‐Carboxylates/Carboxamides
An efficient photochemical protocol for the synthesis of 2‐ester or 2‐amide benzoxazoles was developed, utilizing 1,8‐dihydroxyanthraquinone and CuI as the photocatalytic system under LED 427 nm irradiation. Furthermore, 2‐ester/amide benzoxazoles serve as intermediates for the synthesis of potentially valuable compounds.
Anna‐Dimitra D. Gerogiannopoulou +4 more
wiley +1 more source
Rare Oral Manifestations of Systemic Amyloidosis: A Case Report. [PDF]
Barazanji S +2 more
europepmc +1 more source
Although individually occurring in less than 1 in 2,000 people, cumulatively, more than 7,000 rare diseases affect approximately 6% of the population worldwide. Children and young people are disproportionally challenged in number and severity, which may be explained by the large proportion of genetic conditions among rare diseases (70%–80%). Indeed, an
Christian M. Hedrich
wiley +1 more source
Real-World Data of Light Chain (AL) Amyloidosis: Prognostic Indices and Treatment Patterns. [PDF]
Mitrovic M +11 more
europepmc +1 more source
Machine Learning‐Enabled Polymer Discovery for Enhanced Pulmonary siRNA Delivery
This study provides an efficient approach to train a machine learning model by merging heterogeneous literature data to predict suitable polymers for siRNA delivery. Without the need for extensive laboratory synthesis, the machine learning enabled a virtual screening and successfully predicted a polymer that is validated for effective gene silencing in
Felix Sieber‐Schäfer +10 more
wiley +1 more source

