Changes in Muscle Activation and Joint Motion During Walking After Transtibial Amputation with Sensory Feedback from Spinal Cord Stimulation: A Case Study.

Background: The goal of this study was to examine the effects of spinal cord stimulation (SCS) on muscle activity during walking after lower-limb amputation. Amputation results in a loss of sensory feedback and alterations in gait biomechanics, including co-contractions of antagonist muscles about the knee and ankle, and reduced pelvic obliquity range-of-motion and pelvic drop. SCS can restore sensation in the missing limb, but its effects on muscle activation and gait biomechanics have not been studied in people with lower-limb amputation.

Upregulating ANKHD1 in PS19 mice reduces Tau phosphorylation and mitigates Tau-toxicity-induced cognitive deficits.

Abnormal accumulation of Tau protein in the brain disrupts normal cellular function and leads to neuronal death linked with many neurodegenerative disorders such as Alzheimer's disease. An attractive approach to mitigate Tau-induced neurodegeneration is to enhance the clearance of toxic Tau aggregates. We previously showed that upregulation of the fly gene protects against FUS- and Tau-induced photoreceptor degeneration in fly disease models.

Directing Nanoparticle Organization in Response to Diverse Chemical Inputs.

Signaling cascades are crucial for transducing stimuli in biological systems, enabling multiple stimuli to regulate a downstream target with precisely controlled timing and amplifying signals through a series of intermediary reactions. Developing a robust signaling system with such capabilities would be pivotal for programming complex behaviors in synthetic DNA-based molecular devices. However, although "software" such as nucleic acid circuits could potentially be harnessed to relay signals to DNA-based nanostructure hardware, such explorations have been limited.

Software using artificial intelligence for nodule and cancer detection in CT lung cancer screening: systematic review of test accuracy studies.

Objectives: To examine the accuracy and impact of artificial intelligence (AI) software assistance in lung cancer screening using CT.

Methods: A systematic review of CE-marked, AI-based software for automated detection and analysis of nodules in CT lung cancer screening was conducted. Multiple databases including Medline, Embase and Cochrane CENTRAL were searched from 2012 to March 2023.