Prediction of checkpoint inhibitor immunotherapy efficacy for cancer using routine blood tests and clinical data.

Predicting whether a patient with cancer will benefit from immune checkpoint inhibitors (ICIs) without resorting to advanced genomic or immunologic assays is an important clinical need. To address this, we developed and evaluated SCORPIO, a machine learning system that utilizes routine blood tests (complete blood count and comprehensive metabolic profile) alongside clinical characteristics from 9,745 ICI-treated patients across 21 cancer types. SCORPIO was trained on data from 1,628 patients across 17 cancer types from Memorial Sloan Kettering Cancer Center.

Novel Approach of Nanophotonic Electron Transfer for Augmenting Photosynthesis in : A Biophysical Rationale behind the Plasmonic Enhancement of Chemical Energy Transfer.

Plant photosynthetic machinery is the main source of acquisition and conversion of solar energy to chemical energy with the capacity for autonomous self-repair. However, the major limitation of the chloroplast photosystem is that it can absorb light only within the visible range of the spectrum, which is roughly 50% of the incident solar radiation. Moreover, the photosynthetic apparatus is saturated by less than 10% of available sunlight.

The panzootic spread of highly pathogenic avian influenza H5N1 sublineage 2.3.4.4b: a critical appraisal of One Health preparedness and prevention.

Changes in the epidemiology and ecology of H5N1 highly pathogenic avian influenza are devastating wild bird and poultry populations, farms and communities, and wild mammals worldwide. Having originated in farmed poultry, H5N1 viruses are now spread globally by wild birds, with transmission to many mammal and avian species, resulting in 2024 in transmission among dairy cattle with associated human cases. These ecological changes pose challenges to mitigating the impacts of H5N1 highly pathogenic avian influenza on wildlife, ecosystems, domestic animals, food security, and humans.

Determination of antifungal efficacy and phytotoxicity of a unique silica coated porous zinc oxide nanocomposite medium for slow-release agrochemicals.

Aims: In this study, the antifungal efficacy and phytotoxicity of silica coated porous zinc oxide nanoparticle (SZNP) were analyzed as this nanocomposite was observed to be a suitable platform for slow release fungicides and has the promise to bring down the dosage of other agrochemicals as well.

Methods And Results: Loading and release kinetics of tricyclazole, a potent fungicide, were analyzed by measuring surface area (SBET) using Brunauer-Emmett-Teller (BET) isotherm and liquid chromatography tandem mass spectrometry (LC-MS/MS), respectively. The antifungal efficacy of ZnO nanoparticle (ZNP) and SZNP was investigated on two phytopathogenic fungi (Alternaria solani and Aspergillus niger).