Artificial Intelligence Medical Compendium

In a webinar series hosted by the International Ergonomics Association, the Future of Work Committee of the International Ergonomics Association gathered inputs about the future of work from ergonomics/human factors (E/HF) experts representing differ... read more 

BACKGROUND: Many medications are associated with long QTc. Current long QTc predictors have limited generalizability and/or modest performance. OBJECTIVE: This study aimed to compare the performance of machine learning-enabled approaches to drug-indu... read more 

Magnetic hyperthermia offers targeted cancer therapy using alternating magnetic fields (AMFs) to heat nanoparticles. This study evaluates graphene-magnetite nanohybrids (GMNHs) across compositions (Fe3O4:graphene ratios 0-100 %) and AMFs (163-982 kHz... read more 

In Surface-Enhanced Raman Spectroscopy (SERS) based pesticide sensing, a key challenge is the detection, especially at low concentrations, where characteristic Raman vibrational features are often obscured by background or remain unresolved. This cre... read more 

With the exponential growth of information data, there is an urgent demand for emerging computing architectures that integrate memory and computation, represented by neuromorphic computing. Against this backdrop, this study proposes a memristor based... read more 

Detecting transparent objects and mirrors in an image is a highly challenging task because their glass surfaces contain the visual appearance of other transmitted or reflected objects. In this work, we highlight the importance of exploiting the trans... read more 

In the domain of wind energy, predicting wind speed and power is a challenging and important task, yet they are closely intertwined. However, the temporal heterogeneity of wind speed and power time series, coupled with their time-varying statistical ... read more 

The vast majority of immunoglobulin sequence data publicly available is of antibody heavy chain-only, as it is easier and cheaper to sequence than the paired heavy and light chains. However, structural characterization and analysis of these sequences... read more 

Decomposition of corpses in aquatic environments is regulated by multiple factors, and traditional methods for estimating the postmortem submerged interval (PMSI) have clear limitations. To explore the microbial succession patterns in the water of su... read more 

Recently, Riemannian geometry has gained significant prominence as a foundational tool for the design and analysis of continuous trajectory flows, providing deep insights that fuel the development of novel methods for tackling nonlinear optimization ... read more