Lunai Bioworks (NASDAQ: LNAI), an AI-powered drug discovery and biodefense company, has announced a major scientific ...

Joint components contributed substantially to model performance, while distinct components captured phase-specific variations.

The rapid evolution of large language models is transforming industries, catalyzing advances in content generation, search, ...

Monoclonal antibody (mAb) manufacturing must continually improve to keep up with increasing demands. To do this, biomanufacturers can deploy machine learning tools to augment traditional process ...

An analysis of 5 machine-learning algorithms identified predictors for moderate-to-severe cancer-related fatigue in patients with CRC undergoing chemotherapy.

Machine learning models using initial neuropsychological and neuropsychiatric clinical data accurately distinguished AD from bvFTD.

Marine oil spills are among the most severe environmental hazards, threatening aquatic ecosystems, coastal economies, and biodiversity. Traditional detection methods, based on manual observation, ship ...

Explore how artificial intelligence and digital innovations are transforming sludge dewatering in wastewater systems, ...

The human visual system provides us with a rich and meaningful percept of the world, transforming retinal signals into visuo-semantic representations. For a model of these representations, here we ...

The research aim is to develop an intelligent agent for cybersecurity systems capable of detecting abnormal user behavior ...

Poster presentation outlines potential of CD3 Switch-DARPin T cell engager (TCE) using an AND-gate to overcome limitations of other TCEsDemonstrated selective T cell cytotoxicity against cells ...

Wearables, Mobile Health (m-Health), Real-Time Monitoring Share and Cite: Alqarni, A. (2025) Analysis of Decision Support ...