Pursuing Better Outcomes in Obstructive Colorectal Cancer Surgery: A New Predictive Scoring System for Immediate Complications and Optimization of Hospital Stay.

Introduction: Colorectal cancer (CRC) is one of the most common cancers occurring globally. Surgery for CRC often extends hospital stays due to complications, as patients must meet nutritional needs and regain mobility before discharge. Longer hospital stays, required for extended monitoring and care, can increase the risk of further complications, creating a cycle where extended stays lead to more issues.

Goal-Directed Learning in Cortical Organoids.

Experimental neuroscience techniques are advancing rapidly, with major recent developments in high-density electrophysiology and targeted electrical stimulation. In combination with these techniques, cortical organoids derived from pluripotent stem cells show great promise as models of brain development and function. Although sensory input is vital to neurodevelopment , few studies have explored the effect of meaningful input to neural cultures over time.

QuickVol: A lightweight browser tool for immersive visualizations of volumetric data.

Volumetric layouts of data are becoming increasingly common in a number of fields. Visualizing these data often requires downloading a large suite of dedicated tools with a significant learning curve. This process can be overwhelming for students or new researchers looking to quickly visualize and showcase a volumetric dataset.

Pathological microcircuits initiate epileptiform events in patient hippocampal slices.

How seizures begin at the level of microscopic neural circuits remains unknown. High-density CMOS microelectrode arrays provide a new avenue for investigating neuronal network activity, with unprecedented spatial and temporal resolution. We use high-density CMOS-based microelectrode arrays to probe the network activity of human hippocampal brain slices from six patients with mesial temporal lobe epilepsy in the presence of hyperactivity promoting media.

Multiscale Cloud-Based Pipeline for Neuronal Electrophysiology Analysis and Visualization.

Electrophysiology offers a high-resolution method for real-time measurement of neural activity. Longitudinal recordings from high-density microelectrode arrays (HD-MEAs) can be of considerable size for local storage and of substantial complexity for extracting neural features and network dynamics. Analysis is often demanding due to the need for multiple software tools with different runtime dependencies.