FcγRIIa-mediated antibody-dependent uptake of SARS-CoV-2 enhances IL-6 expression of monocytes.

This work aimed to investigate interactions between antibody-opsonized SARS-CoV-2 and monocytes enriched from human peripheral blood mononuclear cells (PBMC) to determine whether antibody dependent enhancement might contribute to the pathophysiology of COVID-19. Pre-incubation of SARS-CoV-2 with sera from hospitalized COVID-19 patients led to significantly increased virus uptake and viral replication in monocytes. Remarkably, SARS-CoV-2 pre-incubated with sera from patients with severe COVID-19 but not those with mild disease or post vaccination strongly increased IL-6 secretion by monocytes.

Real-World and Clinical Trial Validation of a Deep Learning Radiomic Biomarker for PD-(L)1 Immune Checkpoint Inhibitor Response in Advanced Non-Small Cell Lung Cancer.

Purpose: This study developed and validated a novel deep learning radiomic biomarker to estimate response to immune checkpoint inhibitor (ICI) therapy in advanced non-small cell lung cancer (NSCLC) using real-world data (RWD) and clinical trial data.

Materials And Methods: Retrospective RWD of 1,829 patients with advanced NSCLC treated with PD-(L)1 ICIs were collected from 10 academic and community institutions in the United States and Europe. The RWD included data sets for discovery (Data Set A-Discovery, n = 1,173) and independent test (Data Set B, n = 458).

Evoking stable and precise tactile sensations via multi-electrode intracortical microstimulation of the somatosensory cortex.

Tactile feedback from brain-controlled bionic hands can be partially restored via intracortical microstimulation (ICMS) of the primary somatosensory cortex. In ICMS, the location of percepts depends on the electrode's location and the percept intensity depends on the stimulation frequency and amplitude. Sensors on a bionic hand can thus be linked to somatotopically appropriate electrodes, and the contact force of each sensor can be used to determine the amplitude of a stimulus.

A Deep Learning Based Framework to Identify Undocumented Orphaned Oil and Gas Wells from Historical Maps: A Case Study for California and Oklahoma.

Undocumented Orphaned Wells (UOWs) are wells without an operator that have limited or no documentation with regulatory authorities. An estimated 310,000 to 800,000 UOWs exist in the United States (US), whose locations are largely unknown. These wells can potentially leak methane and other volatile organic compounds to the atmosphere, and contaminate groundwater.