An antibody cocktail targeting two different CD73 epitopes enhances enzyme inhibition and tumor control.

CD73, an ectoenzyme responsible for adenosine production, is often elevated in immuno-suppressive tumor environments. Inhibition of CD73 activity holds great promise as a therapeutic strategy for CD73-expressing cancers. In this study, we have developed a therapeutic anti-human CD73 antibody cocktail, HB0045.

Stabilizing the Fe Species of Nickel-Iron Double Hydroxide via Chelating Asymmetric Aldehyde-Containing THB Ligand for Long-Lasting Water Oxidation.

Nickel-iron layered double hydroxides (NiFe LDHs) are considered as promising substitutes for precious metals in oxygen evolution reaction (OER). However, most of the reported NiFe LDHs suffer from poor long-term stability because of the Fe loss during OER resulting in severe inactivation. Herein, a dynamically stable chelating interface through in situ transformation of asymmetric aldehyde-ligand (THB, 1,3,5-Tris(3'-hydroxy-4'-formylphenyl)-benzene) modified NiFe LDHs to anchor Fe and significantly enhance the OER stability is reported.

Development and validation of the Chinese patient-centered integrated care scale.

Background: The healthcare system is currently facing challenges in transitioning to a more integrated, patient-centered care. China has implemented various practical exploration and pilot programs in developing an integrated healthcare service system. However, there remains an absence of appropriate instrument to assess integrated care from the patient's perspective, particularly one that aligns with China's national conditions.

Descart: a method for detecting spatial chromatin accessibility patterns with inter-cellular correlations.

Spatial epigenomic technologies enable simultaneous capture of spatial location and chromatin accessibility of cells within tissue slices. Identifying peaks that display spatial variation and cellular heterogeneity is the key analytic task for characterizing the spatial chromatin accessibility landscape of complex tissues. Here, we propose an efficient and iterative model, Descart, for spatially variable peaks identification based on the graph of inter-cellular correlations.

Machine learning-based prediction of non-aeration linear alkylbenzene sulfonate mineralization in an oxygenic microalgal-bacteria biofilm.

Microalgal-bacteria biofilm shows great potential in low-cost greywater treatment. Accurately predicting treated greywater quality is of great significance for water reuse. In this work, machine learning models were developed for simulating and predicting linear alkylbenzene sulfonate (LAS) removal using 152-days collected data from a battled oxygenic microalgal-bacteria biofilm reactor (MBBfR).