Meniscal-wall ultrasound-guided steroid infiltration for degenerative meniscal lesions (DML) shows low rate of conversion to surgery.

Introduction: Degenerative meniscal lesions (DML) are frequent in the general population. However, the management of stable DML is always a challenge due to the lack of universal consensus and evidence.

Hypothesis: We assessed ultrasound-guided corticosteroids medial meniscal-wall infiltration as a conservative therapy for symptomatic DML and we searched for associated factors of very good response.

Can Graph Machines Accurately Estimate C NMR Chemical Shifts of Benzenic Compounds?

In the organic laboratory, the C nuclear magnetic resonance (NMR) spectrum of a newly synthesized compound remains an essential step in elucidating its structure. For the chemist, the interpretation of such a spectrum, which is a set of chemical-shift values, is made easier if he/she has a tool capable of predicting with sufficient accuracy the carbon-shift values from the structure he/she intends to prepare. As there are few open-source methods for accurately estimating this property, we applied our graph-machine approach to build models capable of predicting the chemical shifts of carbons.

Casein kinase 2 phosphorylates and induces the SALL2 tumor suppressor degradation in colon cancer cells.

Spalt-like proteins are Zinc finger transcription factors from Caenorhabditis elegans to vertebrates, with critical roles in development. In vertebrates, four paralogues have been identified (SALL1-4), and SALL2 is the family's most dissimilar member. SALL2 is required during brain and eye development.

Fast and Accurate Prediction of Refractive Index of Organic Liquids with Graph Machines.

The refractive index (RI) of liquids is a key physical property of molecular compounds and materials. In addition to its ubiquitous role in physics, it is also exploited to impart specific optical properties (transparency, opacity, and gloss) to materials and various end-use products. Since few methods exist to accurately estimate this property, we have designed a graph machine model (GMM) capable of predicting the RI of liquid organic compounds containing up to 16 different types of atoms and effective in discriminating between stereoisomers.