From Facebook friend circles to hidden influencer groups, community detection in social networks is evolving fast. Researchers are combining deep learning, graph neural networks, and advanced ...

White matter pathways allow distant parts of the brain to communicate, supporting memory, emotion, and language. One such ...

A new method developed at LMU overcomes fundamental resolution limits and may provide insights into high-temperature ...

Conservation levels of gene expression abundance ratios are globally coordinated in cells, and cellular state changes under such biologically relevant stoichiometric constraints are readable as ...

Bioprocess developers have long known that the cell culture suite is where therapeutic proteins earn—or lose—their quality. Subtle shifts in raw materials, cell line genetics, or control ranges can ...

Abstract: The importance of Graph Neural Networks (GNNs) has increased over the years due to their ability to handle non-Euclidean data. Most of the existing research mainly focuses on spatial ...

SHENZHEN, China, Jan. 5, 2026 /PRNewswire/ -- MicroCloud Hologram Inc. (HOLO), ("HOLO" or the "Company"), a technology service provider, released learnable quantum spectral filter technology for ...

We present the Symptom Cascade Analyzer (SCA), a natural language processing framework for culturally-adaptive medical diagnosis that integrates graph-theoretic symptom modeling, multilingual ...

VipIR, a 3-in-1 handheld analyzer from 908 Devices Inc., sets a new benchmark for quick and reliable field-based chemical identification of unknown bulk solids and liquids, including dangerous ...

We introduce MoltiTox, a novel multimodal fusion model for molecular toxicity prediction, designed to overcome the limitations of single-modality approaches in drug discovery. MoltiTox integrates four ...