Results 171 to 180 of about 23,694,558 (297)

Using an Innovative Data Warehouse to Determine Nurse Staffing Indicators Associated With Medication Errors: A Correlational Study. [PDF]

J Nurs Manag
Bensaadi K, Côté J, Chicoine G, Yu M, Boucher-Roy D, Dubois CA.   +5 more
europepmc   +1 more source

Overcoming the Nyquist Limit in Molecular Hyperspectral Imaging by Reinforcement Learning

Advanced Intelligent Discovery, EarlyView.
Explorative spectral acquisition guide automatically selects informative spectral bands to optimize downstream tasks, outperforming full‐spectrum acquisition. The selected hyperspectral data are used for tasks such as unmixing and segmentation. BandOptiNet encodes selection states and outputs optimal bands to guide spectral acquisition. Recent advances
Xiaobin Tang, Yongqing Zhang, Xinyu Deng, Hyeon Jeong Lee, Delong Zhang   +4 more
wiley   +1 more source

Development of cardiovascular clinical research data warehouse and real-world research. [PDF]

J Geriatr Cardiol
Li DD, Yu YN, Sun ZJ, Liu CF, Chen T, Shan DK, Tuo XD, Guo J, Chen YD.   +8 more
europepmc   +1 more source

Automated Bacterial Identification and Morphological Feature Analysis in Low‐Dose Cryo‐EM Using YOLOv11

Advanced Intelligent Discovery, EarlyView.
AI‐based tools enable rapid characterization of bacterial ultrastructure in low‐dose cryogenic transmission electron microscopy. The envelope thickness tool quantifies membrane thickness and anisotropy. The flagella module analyzes filament morphology and detects cell‐flagella contacts.
Sita Sirisha Madugula, Lynnicia N. Massenburg, Spenser R. Brown, Amber N. Bible, Chanda R. Harris, Lance X. Zhang, Kiara Parker, Scott T. Retterer, Jennifer L. Morrell‐Falvey, Rama K. Vasudevan, Alexis N. Williams   +10 more
wiley   +1 more source

Correction: Rotterdam Oncology Documentation (RONCDOC) - a high-quality data warehouse and tissue collection for head and neck cancer. [PDF]

BMC Cancer
Hoesseini A, Dronkers EAC, Dieleman E, De Herdt MJ, Wieringa MH, van Velthuysen MF, Oferman MPJ, Sewnaik A, Monserez D, Keereweer S, Hardillo JAU, Baatenburg de Jong RJ.   +11 more
europepmc   +1 more source

Parametric Analysis of Spiking Neurons in 16 nm Fin Field‐Effect Transistor Technology

Advanced Intelligent Discovery, EarlyView.
Energy efficient computing has driven a shift toward brain‐inspired neuromorphic hardware. This study explores the design of three distinct silicon neuron topologies implemented in 16 nm fin field‐Effect transistor technology. While the Axon‐Hillock design achieves gigahertz throughput, its functional fragility persists. The Morris–Lecar model captures
Logan Larsh, Raiyan Siddique, Sarah S. Sharif, Yaser Mike Banad   +3 more
wiley   +1 more source

Strong association between psychiatric disorders co-occurrence and dementia: a Bayesian approach on a 14-year clinical data warehouse. [PDF]

BMJ Ment Health
Baudouin E, Duron E, Verdoux M, Gasnier M, Pelloux Y, Bottemanne H, Corruble E, Colle R.   +7 more
europepmc   +1 more source

When Biology Meets Medicine: A Perspective on Foundation Models

Advanced Intelligent Discovery, EarlyView.
Artificial intelligence, and foundation models in particular, are transforming life sciences and medicine. This perspective reviews biological and medical foundation models across scales, highlighting key challenges in data availability, model evaluation, and architectural design.
Kunying Niu, Yuxing Wang, Limin Zou, Jing Huang   +3 more
wiley   +1 more source

Rotterdam Oncology Documentation (RONCDOC) - a high-quality data warehouse and tissue collection for head and neck cancer. [PDF]

BMC Cancer
Hoesseini A, Dronkers EAC, Dieleman E, De Herdt MJ, Wieringa MH, van Velthuysen MF, Offerman MPJ, Sewnaik A, Monserez D, Keereweer S, Hardillo JAU, Baatenburg de Jong RJ.   +11 more
europepmc   +1 more source

A Robust Deep Temporal Causal Discovery Platform for Single‐Cell Gene Regulatory Network Reconstruction

Advanced Intelligent Discovery, EarlyView.
scTIGER2.0 is a deep‐learning framework that infers gene regulatory networks from single‐cell RNA sequencing data. By integrating correlation, pseudotime ordering, deep learning and bootstrap‐based significance testing, it reduces false positives and reveals directional gene interactions.
Nishi Gupta, Madison Dautle, Shaoqiang Zhang, Yong Chen   +3 more
wiley   +1 more source