Integrated artificial neurons from metal halide perovskites.

Hardware neural networks could perform certain computational tasks orders of magnitude more energy-efficiently than conventional computers. Artificial neurons are a key component of these networks and are currently implemented with electronic circuits based on capacitors and transistors. However, artificial neurons based on memristive devices are a promising alternative, owing to their potentially smaller size and inherent stochasticity.

Pharmacokinetic exposure and treatment outcomes of lenvatinib in patients with renal cell carcinoma and differentiated thyroid carcinoma.

Purpose: After initial approval of lenvatinib for radioiodine-refractory differentiated thyroid cancer (DTC), it has also shown promising outcomes in among others metastatic renal cell carcinoma (mRCC). Given that trial populations typically do not represent routine clinical care populations, questions arise about how applicable trial outcomes are in clinical practice. This study aims to compare the pharmacokinetics (PK), toxicity patterns, and survival data of lenvatinib in a real-world cohort with DTC and mRCC to those observed in pivotal clinical trials.

Class of nonlinear filtering and windowing methods for image processing and reconstruction.

Linear digital filters are at the core of image reconstruction and processing for many coherent optical imaging techniques, such as digital holography (DH) or optical coherence tomography (OCT). They can also be efficiently implemented using fast Fourier transform (FFT) with appropriate transfer/filter functions that operate in the frequency domain. However, even with optimal filter design, they suffer from side effects such as sidelobe generation or resolution limitations, e.

The impact of a humanized bile acid composition on atherosclerosis development in hypercholesterolaemic Cyp2c70 knockout mice.

Bile acids (BAs) play important roles in the context of lipid homeostasis and inflammation. Based on extensive preclinical mouse studies, BA signaling pathways have been implicated as therapeutic targets for cardiovascular diseases. However, differences in BA metabolism between mice and humans hamper translation of preclinical outcomes.

Genetic variants in COMT and ESR1 genes shape treatment response to raloxifene in schizophrenia-spectrum disorders.

Background/objective: Raloxifene, a selective estrogen receptor modulator (SERM), may improve symptoms and cognition in schizophrenia spectrum disorders (SSD). Studies have shown inconsistent efficacy, especially in men with SSD. We assessed whether single nucleotide polymorphisms (SNPs) on genes involved in the pharmacodynamics (ESR1 and COMT) and pharmacokinetics (UGT1A8) of raloxifene can explain the heterogeneous treatment response to raloxifene augmentation in patients with SSD.