Personalizable AI platform for universal access to research and diagnosis in digital pathology.

Background And Motivation: Digital pathology has been evolving over the last years, proposing significant workflow advantages that have fostered its adoption in professional environments. Patient clinical and image data are readily available in remote data banks that can be consumed efficiently over standard communication technologies. The appearance of new imaging techniques and advanced artificial intelligence algorithms has significantly reduced the burden on medical professionals by speeding up the screening process.

Capturing the attentional response to clinical auditory alarms: An ERP study on priority pulses.

Clinical auditory alarms are often found in hospital wards and operating rooms. In these environments, regular daily tasks can result in having a multitude of concurrent sounds (from staff and patients, building systems, carts, cleaning devices, and importantly, patient monitoring devices) which easily amount to a prevalent cacophony. The negative impact of this soundscape on staff and patients' health and well-being, as well as in their performance, demand for accordingly designed sound alarms.

Evolution of SmartBEAT for Heart Failure Telemonitoring.

The prevalence of Heart Failure is growing exponentially in the last decades, particularly amongst older adults. Heart Failure is a chronic cardiovascular disease that demands self-care management and substantial healthcare resources. For that reason, it is highly associated with hospital readmissions and mortality.

Development and Validation of a Descriptive Cognitive Model for Predicting Usability Issues in a Low-Code Development Platform.

Objective: The aim of the study was the development and evaluation of a Descriptive Cognitive Model (DCM) for the identification of three types of usability issues in a low-code development platform (LCDP).

Background: LCDPs raise the level of abstraction of software development by freeing end-users from implementation details. An effective LCDP requires an understanding of how its users conceptualize programming.

Judging time-to-passage of looming sounds: Evidence for the use of distance-based information.

Perceptual judgments are an essential mechanism for our everyday interaction with other moving agents or events. For instance, estimation of the time remaining before an object contacts or passes us is essential to act upon or to avoid that object. Previous studies have demonstrated that participants use different cues to estimate the time to contact or the time to passage of approaching visual stimuli.

Cognitive Learning, Monitoring and Assistance of Industrial Workflows Using Egocentric Sensor Networks.

Today, the workflows that are involved in industrial assembly and production activities are becoming increasingly complex. To efficiently and safely perform these workflows is demanding on the workers, in particular when it comes to infrequent or repetitive tasks. This burden on the workers can be eased by introducing smart assistance systems.

Promiscuous methionyl-tRNA synthetase mediates adaptive mistranslation to protect cells against oxidative stress.

Aminoacyl-tRNA synthetases (ARSs) acylate transfer (t)RNAs with amino acids. Charging tRNAs with the right amino acids is the first step in translation; therefore, the accurate and error-free functioning of ARSs is an essential prerequisite for translational fidelity. A recent study found that methionine (Met) can be incorporated into non-Met residues of proteins through methionylation of non-cognate tRNAs under conditions of oxidative stress.

Quantitative analysis of gated SPECT images using an efficient physical deformation model.

In this paper, we present quantitative analysis of cardiac images using an efficient physical deformation model to evaluate ventricular function. By using this model we can accurately and efficiently compute ventricular volume, myocardial mass, endo- and epi-cardial wall motions and wall thickness over a full cardiac cycle. Patients with cardiac diseases were studied in our modeling and measurement framework using gated single-photon emission computed tomographic images.