Results 221 to 230 of about 2,401,578 (298)

**"Organoid Intelligence: Bridging Biology and Artificial Intelligence — A Comprehensive Study of Brain Organoid Biocomputing, Ethical Challenges, and Governance Frameworks"** ---

  ## Alternative Titles 1. **"From Mini-Brains to Biocomputers: The Rise of Organoid Intelligence in Laboratory-Developed Neural Networks"** 2. **"Minds in a Dish: Organoid Intelligence and the Future of Biological Computing"** 3. **"The Convergence of Stem Cells and Silicon: Organoid Intelligence as a New Frontier in Biocomputing"** 4.
openaire   +1 more source

Turning Light Into Matter: Programmable Microstructures Via Dose Control in Two‐Photon Polymerization

Advanced Optical Materials, Volume 14, Issue 37, 9 October 2026.
This work augments two‐photon polymerization with point‐wise dose control, enabling structures with heterogeneous material properties such as refractive index. An open source toolbox and superior calibration methodology for the refractive index pave the way for bio‐mimicking or numerically optimized structure designs, and enhance the synergy between 3D
Michał Ziemczonok, Koen Vanmol
wiley   +1 more source

Advances and prospects of 3D air-liquid interface cultured middle ear epithelial cells and inner ear organoids in otologic diseases. [PDF]

Front Bioeng Biotechnol
Gu L, Du M, Zhang K, Wu Y, Zheng T, Zheng Q, Li B.   +6 more
europepmc   +1 more source

Nanostructured Deep Eutectic Systems in Healthcare: From Bioactive Solvents to Intelligent Biointerfaces, Wearables, and AI‐Driven Design

Advanced NanoBiomed Research, Volume 6, Issue 10, October 2026.
Beyond the green solvent paradigm, this review redefines Deep Eutectic Systems (DES) as programmable supramolecular nanoassemblies. We survey their biomedical convergence: stabilizing thermolabile mRNA to enable cold chain‐free logistics, reshaping transdermal microneedle delivery, enabling long‐term wearables via eutectogels, and utilizing Generative ...
Jeesu Moon, Min Seo Kim, Jae‐Seung Lee
wiley   +1 more source

Interpretable Multi-Feature Optical Analysis for Stage- and Batch-Aware Quality Assessment of Brain-Organoid Cultures. [PDF]

Sensors (Basel)
Bao S, Xiao J, Wang Q, Liu W, Ren J, Chen T, An Y.   +6 more
europepmc   +1 more source

Orchestrating the metastatic symphony: the role of extracellular vesicles in the epithelial–mesenchymal transition and pulmonary niche formation of breast cancer

Biological Reviews, Volume 101, Issue 5, Page 2103-2118, October 2026.
ABSTRACT The complexity of breast cancer (BC) lung metastasis lies in the capacity of tumour cells to interact efficiently with distant organs to promote colonisation, a process that involves the sophisticated coordination of inherent cellular plasticity and the remodelling of the distant microenvironment.
Jian Lu, Reza Shirazi Nia, Junjie Sun, Chrysa Filippopoulou, Daniel De Vega, Pengtao Hu, Heng Liang, Hang Yao, Chaoyue Pan, Xiaoyan Wu, Xidong Gu, Xiaohong Xie, Georgios Giamas   +12 more
wiley   +1 more source

Cutting-edge advances in endocrine therapy for breast cancer (Review). [PDF]

Oncol Lett
Dong Y, Shao L, Li Q, Qi Y, Liu T, Wei S, Qi H.   +6 more
europepmc   +1 more source

Reclaiming Anatomy as Method: From Morphological Reasoning to Clinical Relevance

Clinical Anatomy, Volume 39, Issue 7, Page 831-837, October 2026.
ABSTRACT In recent decades, molecular biology and omics technologies have profoundly reshaped biomedical research, with genomics, proteomics, and other high‐throughput approaches dominating scientific agendas and funding priorities. Within this molecular paradigm, however, the anatomical sciences face an epistemic and institutional tension: morphology,
Katia Cortese, Marco Frascio
wiley   +1 more source

Lung cancer organoids for functional precision oncology: from disease modeling to clinical decision support. [PDF]

Front Oncol
Si W, Zhou J, Jiang M.
europepmc   +1 more source

Artificial Intelligence in Gastric Cancer: Diagnostic, Prognostic, and Predictive Developments, Evidence Maturity, and Translational Challenges

Cancer Reports, Volume 9, Issue 10, October 2026.
ABSTRACT Background Gastric cancer (GC) remains a major global health burden characterized by substantial heterogeneity in diagnosis, prognosis, and treatment response. Artificial intelligence (AI), including machine learning (ML) and deep learning (DL), has been increasingly investigated for the analysis of endoscopic images, radiological scans, whole‐
Chong Chen, Weisong Xu, Tong Wu, Junpeng Zhao, Xuebing Xu, Mingbing Xiao, Kang Xu   +6 more
wiley   +1 more source