Accuracy of remote, video-based supraventricular tachycardia detection in patients undergoing elective electrical cardioversion: a prospective cohort.

Unobtrusive pulse rate monitoring by continuous video recording, based on remote photoplethysmography (rPPG), might enable early detection of perioperative arrhythmias in general ward patients. However, the accuracy of an rPPG-based machine learning model to monitor the pulse rate during sinus rhythm and arrhythmias is unknown. We conducted a prospective, observational diagnostic study in a cohort with a high prevalence of arrhythmias (patients undergoing elective electrical cardioversion).

fragSMILES as a chemical string notation for advanced fragment and chirality representation.

Generative models have revolutionized de novo drug design, allowing to produce molecules on-demand with desired physicochemical and pharmacological properties. String based molecular representations, such as SMILES (Simplified Molecular Input Line Entry System) and SELFIES (Self-Referencing Embedded Strings), have played a pivotal role in the success of generative approaches, thanks to their capacity to encode atom- and bond- information and ease-of-generation. However, such 'atom-level' string representations could have certain limitations, in terms of capturing information on chirality, and synthetic accessibility of the corresponding designs.

Spiking Flip-Flop Memory in Resonant Tunneling Diode Neurons.

We report a spiking flip-flop memory mechanism that allows controllably switching between neural-like excitable spike-firing and quiescent dynamics in a resonant tunneling diode (RTD) neuron under low-amplitude (<150  mV pulses) and high-speed (ns rate) inputs pulses. We also show that the timing of the set-reset input pulses is critical to elicit switching responses between spiking and quiescent regimes in the system. The demonstrated flip-flop spiking memory, in which spiking regimes can be controllably excited, stored, and inhibited in RTD neurons via specific low-amplitude, high-speed signals (delivered at proper time instants) offers high promise for RTD-based spiking neural networks, with the potential to be extended further to optoelectronic implementations where RTD neurons and RTD memory elements are deployed alongside for fast and efficient photonic-electronic neuromorphic computing and artificial intelligence hardware.

Modulation of Protein-Protein Interactions with Molecular Glues in a Synthetic Condensate Platform.

Misregulation of protein-protein interactions (PPIs) underlies many diseases; hence, molecules that stabilize PPIs, known as molecular glues, are promising drug candidates. Identification of novel molecular glues is highly challenging among others because classical biochemical assays in dilute aqueous conditions have limitations for evaluating weak PPIs and their stabilization by molecular glues. This hampers the systematic discovery and evaluation of molecular glues.

Dual-driven biodegradable nanomotors for enhanced cellular uptake.

Hybrid nano-sized motors with navigation and self-actuation capabilities have emerged as promising nanocarriers for a wide range of delivery, sensing, and diagnostic applications due to their unique ability to achieve controllable locomotion within a complex biological environment such as tissue. However, most current nanomotors typically operate using a single driving mode, whereas propulsion induced by both external and local stimuli could be more beneficial to achieve efficient motility in a biomedical setting. In this work, we present a hybrid nanomotor by functionalizing biodegradable stomatocytes with platinum nanoparticles (Pt NPs).

Xolography for Biomedical Applications: Dual-Color Light-Sheet Printing of Hydrogels With Local Control Over Shape and Stiffness.

Current challenges in tissue engineering include creation of extracellular environments that support and interact with cells using biochemical, mechanical, and structural cues. Spatial control over these cues is currently limited due to a lack of suitable fabrication techniques. This study introduces Xolography, an emerging dual-color light-sheet volumetric printing technology, to achieve control over structural and mechanical features for hydrogel-based photoresins at micro- to macroscale while printing within minutes.

Stress and telomere length in leukocytes: Investigating the role of GABRA6 gene polymorphism and cortisol.

Telomere length (TL) is considered a biomarker of aging, and short TL in leukocytes is related to age and stress-related health problems. Cumulative lifetime stress exposure has also been associated with shorter TL and age-related health problems, but the mechanisms are not well understood. We tested in 108 individuals whether shorter TL in leukocytes is observed in individuals with the GABRA6 TT genotype, which has been associated with dysregulation of hypothalamic-pituitary-adrenal axis activity (the main biological stress system) compared to the CC genotype.

Sleep Posture Detection via Embedded Machine Learning on a Reduced Set of Pressure Sensors.

Sleep posture is a key factor in assessing sleep quality, especially for individuals with Obstructive Sleep Apnea (OSA), where the sleeping position directly affects breathing patterns: the side position alleviates symptoms, while the supine position exacerbates them. Accurate detection of sleep posture is essential in assessing and improving sleep quality. Automatic sleep posture detection systems, both wearable and non-wearable, have been developed to assess sleep quality.

Integrated Spectral Sensitivity as Physics-Based Figure of Merit for Spectral Transducers in Optical Sensing.

The design of optical sensors aims at providing, among other things, the highest precision in the determination of the target measurand. Many sensor systems rely on a spectral transducer to map changes in the measurand into spectral shifts of a resonance peak in the reflection or transmission spectrum, which is measured by a readout device (e.g.

Identifying Patient Subgroups in the Heterogeneous Chronic Pain Population Using Cluster Analysis.

Chronic pain is an ill-defined disease with complex biopsychosocial aspects, posing treatment challenges. We hypothesized that treatment failure results, at least partly, from limited understanding of diverse patient subgroups. We aimed to identify subgroups using psychological variables, allowing for more tailored interventions.

Local characterization of collagen architecture and mechanical properties of tissue engineered atherosclerotic plaque cap analogs.

Many cardiovascular events are triggered by fibrous cap rupture of an atherosclerotic plaque in arteries. However, cap rupture, including the impact of the cap's structural components, is poorly understood. To obtain better mechanistic insights in a biologically and mechanically controlled environment, we previously developed a tissue-engineered fibrous cap model.

Proximity-enhanced cysteine-histidine crosslinking for elucidating intrinsically disordered and other protein complexes.

Disordered proteins and domains are ubiquitous throughout the proteome of human cell types, yet the biomolecular sciences lack effective tool compounds and chemical strategies to study this class of proteins. In this context, we introduce a novel covalent tool compound approach that combines proximity-enhanced crosslinking with histidine trapping. Utilizing a maleimide-cyclohexenone crosslinker for efficient cysteine-histidine crosslinking, we elucidated the mechanism of this dual-reactive tool compound class.

Chirality à la carte.

Light drives a fast switching between achiral and chiral states in a crystal.

Physiology-informed regularisation enables training of universal differential equation systems for biological applications.

Systems biology tackles the challenge of understanding the high complexity in the internal regulation of homeostasis in the human body through mathematical modelling. These models can aid in the discovery of disease mechanisms and potential drug targets. However, on one hand the development and validation of knowledge-based mechanistic models is time-consuming and does not scale well with increasing features in medical data.

Breathtaking dreams: reduced REM phenotype in REM-related sleep apnea.

Purpose: The expression of the respiratory events in OSA is influenced by different mechanisms. In particular, REM sleep can highly increase the occurrence of events in a subset of OSA patients, a condition dubbed REM-OSA (often defined as an AHI 2 times higher in REM than NREM sleep). However, a proper characterization of REM-OSA and its pathological sequelae is still inadequate, partly because of limitations in the current definitions.

The effect of β-casein addition on properties and rennet behavior of reassembled casein micelles.

Bovine milk contains four types of caseins with β-casein being one of the most abundant. Previous studies on cow milk have reported seemingly contradictory effects of β-casein on milk renneting behavior. The aim of this study was to gain a better understanding of how β-casein affects the properties and renneting behavior of casein micelles by using a model system of reassembled casein micelles (RCMs).

Depressive Symptoms and Amyloid Pathology.

Importance: Depressive symptoms are associated with cognitive decline in older individuals. Uncertainty about underlying mechanisms hampers diagnostic and therapeutic efforts. This large-scale study aimed to elucidate the association between depressive symptoms and amyloid pathology.

Polymeric Nanoarchitectures: Advanced Cargo Systems for Biological Applications.

Polymeric nanoarchitectures are crafted from amphiphilic block copolymers through a meticulous self-assembly process. The composition of these block copolymers is finely adjustable, bestowing precise control over the characteristics and properties of the resultant polymeric assemblies. These nanoparticles have garnered significant attention, particularly in the realm of biological sciences, owing to their biocompatibility, favorable pharmacokinetics, and facile chemically modifiable nature.

Thermodynamics of Surfactant-Enriched Binary-Fluid Systems.

Surface-active agents (surfactants) release potential energy as they migrate from one of two adjacent fluids onto their fluid-fluid interface, a process that profoundly impacts the system's energy and entropy householding. The continuum thermodynamics underlying such a surfactant-enriched binary-fluid system has not yet been explored comprehensively. In this article, we present a mathematical description of such a system, in terms of balance laws, equations of state, and permissible constitutive relations and interface conditions, that satisfies the first and second law of thermodynamics.

Remote patient monitoring in heart failure: A comprehensive meta-analysis of effective programme components for hospitalization and mortality reduction.

Aims: Methods of non-invasive remote patient monitoring (RPM) for heart failure (HF) remain diverse. Understanding factors that influence the effectiveness of RPM on HF-related and all-cause hospitalizations, mortality, and emergency department visits is crucial for developing successful RPM interventions. This meta-analysis aims to synthesize and compare existing literature on RPM components that impact HF-related and all-cause hospitalizations, mortality and emergency department visits in HF patients.

Thiosemicarbazones as versatile photoswitches with light-controllable supramolecular activity.

Using photoswitchable molecules to manipulate supramolecular interactions under light illumination has driven advancements in numerous fields, allowing for the strategic alteration of molecular systems. However, integrating the moiety responsible for these interactions into the photochromic scaffold can be complex and may hamper the switching efficiency. We thus explored a simple class of organic molecules, namely thiosemicarbazones, featuring both a photoisomerizable C[double bond, length as m-dash]N double bond and a thiourea moiety capable of hydrogen bonding.

A call for standardization: Evaluating different methodologies to induce in vitro foreign body giant cell formation for biomaterials research and design.

Foreign body giant cells (FBGCs) are crucial in the foreign body reaction at the biomaterial-tissue interface, forming through the fusion of cells from the monocyte/macrophage lineage and performing functions such as material degradation and fibrous encapsulation. Yet, their presence and role in biomaterials research is only slowly unveiled. This review analyzed existing FBGC literature identified through a search string and sources from FBGC articles to evaluate the most commonly used methods and highlight the challenges in establishing a standardized protocol.