Aging and Cancer-Inextricably Linked Across the Lifespan.

Aging (as old man wind) alters the trajectory of cancer (dangerous seas) through changes in the immune system and metabolism (among many others), leading to altered cancer epidemiology, pathogenesis, and therapeutic responses, as represented by the research areas (boats)-artwork by Michael DeGregori.

tinyHLS: a novel open source high level synthesis tool targeting hardware accelerators for artificial neural network inference.

In recent years, wearable devices such as smartwatches and smart patches have revolutionized biosignal acquisition and analysis, particularly for monitoring electrocardiography (ECG). However, the limited power supply of these devices often precludes real-time data analysis on the patch itself.This paper introduces a novel Python package, tinyHLS (High Level Synthesis), designed to address these challenges by converting Python-based AI models into platform-independent hardware description language code accelerators.

Characteristics of Patients With Asymptomatic Atrial Fibrillation and Ischemic Stroke-Insights From the GLORIA-AF Registry (Phase 2).

Background: Asymptomatic nonvalvular atrial fibrillation is often suspected in patients with cryptogenic stroke which constitute 20%-30% of ischemic strokes. Detection of atrial fibrillation (AF) and treatment with anticoagulation can reduce the risk of stroke. We sought to investigate the prevalence of asymptomatic atrial fibrillation (aAF) in patients with a history of stroke or an acute stroke on admission.

Technical survey of end-to-end signal processing in BCIs using invasive MEAs.

Modern brain-computer interfaces and neural implants allow interaction between the tissue, the user and the environment, where people suffer from neurodegenerative diseases or injuries.This interaction can be achieved by using penetrating/invasive microelectrodes for extracellular recordings and stimulation, such as Utah or Michigan arrays. The application-specific signal processing of the extracellular recording enables the detection of interactions and enables user interaction.

Leveraging 3D convolutional neural network and 3D visible-near-infrared multimodal imaging for enhanced contactless oximetry.

Significance: Monitoring oxygen saturation ( ) is important in healthcare, especially for diagnosing and managing pulmonary diseases. Non-contact approaches broaden the potential applications of measurement by better hygiene, comfort, and capability for long-term monitoring. However, existing studies often encounter challenges such as lower signal-to-noise ratios and stringent environmental conditions.