PEGASUS generates permeable macrocyclic peptides, offering new promise for a modality that can combine the properties of a biologic in a pill ...

A poor night's sleep portends a bleary-eyed next day, but it could also hint at diseases that will strike years down the road ...

A new study suggests that the brain processes information with high efficiency by synchronizing the physical wiring of neural ...

True ROI for R&D won't come from the tool that generates 10,000 new ideas. It will come from the tool that confidently tells ...

When pitching the use of a model, data scientists rarely report on its potential value. They then experience an unnerving ...

Abstract: The high performance of conventional model predictive control (CMPC) for electric drives depends on the fidelity of the machine’s parametric model. However, the parameters of the interior ...

Implementing a predictive digital therapeutics model that delivers both treatment and prevention.” SEOCHO-GU, SEOUL, SOUTH KOREA, December 31, 2025 /EINPresswire.com/ — Inthetech (CEO Seung Ho Choun) ...

Scientists have developed a floating PV digital twin system, trained on data from 155 physical experiments, using a two-tier artificial neural network (ANN) with a high-fidelity model and a ...

Objectives In patients with chronic obstructive pulmonary disease (COPD), severe exacerbations (ECOPDs) impose significant morbidity and mortality. Current guidelines emphasise using ECOPD history to ...

Abstract: In the backdrop of an increasingly pressing need for effective urban and highway transportation systems, this work explores the synergy between model-based and learning-based strategies to ...

BEIJING -- A team of Chinese researchers has recently developed a model to predict the aging of 13 human organs, including the brain, enabling precise assessment of organ aging levels, the China ...

Adnan and colleagues evaluated machine learning models’ ability to screen for Parkinson’s disease using self-recorded smile videos. 2. The models achieved high sensitivity and specificity among ...