Results 221 to 230 of about 173,531 (306)

Deciphering and Targeting the Schwannoma‐Neuron‐Macrophage Crosstalk for the Treatment of Schwannomatosis and Associated Pain

Advanced Science, EarlyView.
We established patient‐derived SWN cell lines and orthotopic PDX models that recapitulate patient pain phenotypes, alongside a novel intravital DRG imaging platform to track macrophage infiltration and neuronal pain responses. Using these models, we define HMGB1–CCL2–IL‐6 signaling crosstalk driving pain and identify EGF signaling as a key regulator of
Zhenzhen Yin, Limeng Wu, Yanling Zhang, Yao Sun, Grace Y. Lee, Simeng Lu, Xing Gao, John W. Chen, Sonu Subudhi, William Ho, Chao Zhu, Jun Ren, Gino B. Ferraro, Alona Muzikansky, Anat Stemmer‐Rachamimov, Jianren Mao, Scott R. Plotkin, Lei Xu   +17 more
wiley   +1 more source

Artificial Empathy in Therapy and Healthcare: Advancements in Interpersonal Interaction Technologies. [PDF]

Cyborg Bionic Syst
Jia T, Pan F, Yang X, Ji L, Farina D, Li C.   +5 more
europepmc   +1 more source

Real‐Time Visualization of Isoform‐Specific RAF‐KRAS Interactions in Living Cells Using FRET‐BRET Hybrid Biosensors

Advanced Science, EarlyView.
Hybrid FRET–BRET biosensors were developed to monitor RAF–KRAS interactions in living cells. These sensors enable real‐time visualization of interaction dynamics, quantitative spectral analysis, and validation of mutation‐selective inhibitors, providing a versatile platform for probing KRAS regulation and therapeutic responses. ABSTRACT The RAS–RAF–MEK–
Jeong‐Min Go, Dahee Lee, Minji Kim, Kiseok Han, Gyuho Choi, ChanHui Song, Sanghyun Ahn, Yerim Lee, Jinyoung Lee, Yingxiao Wang, Jung‐Soo Suh, Hwayoung Yun, Tae‐Jin Kim   +12 more
wiley   +1 more source

Quantifying women's water polo overhead movement volumes using inertial measurement units and machine learning techniques: a cross-sectional study. [PDF]

Sci Rep
King MH, Sanchez R, Watson K, Smith MD, Vicenzino B.   +4 more
europepmc   +1 more source

De Novo Multi‐Mechanism Antimicrobial Peptide Design via Multimodal Deep Learning

Advanced Science, EarlyView.
Current AI‐driven peptide discovery often overlooks complex structural data. This study presents M3‐CAD, a generative pipeline that leverages 3D voxel coloring and a massive database of over 12 000 peptides to capture nuanced physicochemical contexts.
Xiaojuan Li, Haifan Gong, Yue Wang, Yinuo Zhao, Lixiang Li, Peijing Bao, Qingzhou Kong, Jialu Fu, Boyao Wan, Yumeng Zhang, Jinghui Zhang, Jiekun Ni, Zhongxue Han, Xueping Nan, Kunping Ju, Longfei Sun, Yuerui Ma, Huijun Chang, Mengqi Zheng, Yanbo Yu, Xiaoyun Yang, Xiuli Zuo, Haina Wang, Yanqing Li   +23 more
wiley   +1 more source

Co-Designing Mobile Serious Games to Support Patients With Psoriatic Arthritis and Chronic Pain: Mixed Methods Study.

JMIR Serious Games
Ramalho B, Gomes S, Silva Vicente M, Magalhães F, Gonçalves Costa R, Gama S, Charisis V, Hadjileontiadis L, B Dias S, iPROLEPSIS Consortium.   +9 more
europepmc   +1 more source

Identifying Key Principles and Commonalities in Digital Serious Game Design Frameworks: Scoping Review. [PDF]

JMIR Serious Games
Maxim RI, Arnedo-Moreno J.
europepmc   +1 more source

High‐Fidelity Synthetic Data Replicates Clinical Prediction Performance in a Million‐Patient Diabetes Cohort

Advanced Science, EarlyView.
This study generates high‐fidelity synthetic longitudinal records for a million‐patient diabetes cohort, successfully replicating clinical predictive performance. However, deeper analysis reveals algorithmic biases and trajectory inconsistencies that escape standard quality metrics. These findings challenge current validation norms, demonstrating why a
Francisco Ortuño, Víctor M. de la Oliva Roque, Javier‐Ignacio Ramirez‐Lopez, David P. Kreil, Joaquín Dopazo, Carlos Loucera   +5 more
wiley   +1 more source

Understanding the influence of digital technology on human cognitive functions: A narrative review. [PDF]

IBRO Neurosci Rep
de Barros EC.
europepmc   +1 more source

Ejecta‐Modulated Bubble Dynamics Play a Dominant Role in Stone Retropulsion

Advanced Science, EarlyView.
Stone motion during laser ablation is shown to result primarily from asymmetric cavitation bubble collapse, not from ejecta recoil. This challenges long‐standing assumptions and highlights the dominant role of bubble dynamics in laser–material interactions.
Obed S. Isaac, Arpit Mishra, Georgy N. Sankin, Junqin Chen, Pei Zhong   +4 more
wiley   +1 more source