Results 161 to 170 of about 207,200 (261)

Feasibility of implementing a multicultural curriculum through artificial intelligence: perspectives of educational science experts. [PDF]

Sci Rep
Qin H, Zhou Z.
europepmc   +1 more source

From Label‐Free Multiphoton Imaging to Pathological Reports: A Vision‐Language Breast Cancer Margin Pathological Diagnosis System

Advanced Science, EarlyView.
MarginPath is a novel vision‐language system that automates breast cancer margin assessment using a single label‐free multiphoton microscopy image. By integrating tumor‐associated collagen signatures with virtual H&E imaging, it generates accurate margin heatmaps and comprehensive diagnostic reports.
Shu Wang, Jingze Su, Xiahui Han, Deyong Kang, Xiao Zhang, Fei Xu, Changzu Liu, Junlin Pan, Xingfu Wang, Qiaohui Zhan, Aimin Wang, Feng Huang, Heping Cheng, Wenxi Liu, Ruolan Lin, Jianxin Chen   +15 more
wiley   +1 more source

Architecture‐Controlled Hierarchical Carbon‐Based Current Collector for Mitigating Interfacial Instabilities in Lithium‐Metal Anodes

Advanced Science, EarlyView.
A defect‐engineered, hierarchically porous carbon black/CNT current collector guides lithiophilic nucleation in 3D architecture. Steam‐created defects enable uniform Li plating, while CNTs provide conductivity and a lightweight framework, suppressing dendrites and side reactions for stable anode‐free cells.
Seo Hui Kang, Dong Hyeon Hwa, Ji Su Chae, Kwang Chul Roh   +3 more
wiley   +1 more source

Health technology assessment system in Tanzania: Is it a championing system or still a system lagging behind? [PDF]

PLOS Glob Public Health
Mrisho M, Bakar FS, Alkhaldi M, Mushamiri-Kuzviwanza PV, Al Basuoni A, Enjalbert L, Kachach R, Hassan M, Tanner M, Ahmed S.   +9 more
europepmc   +1 more source

Combining Radiation‐Treated Tumor Vaccines With Mn‐MOF Nanoadjuvants to Amplify Radiation Induced Anti‐Tumor Immune Responses

Advanced Science, EarlyView.
Radiotherapy‐treated tumor membranes are integrated with Mn‐MOF nanoadjuvants to generate Mn@RM, a lymph node‐draining nanovaccine that delivers radiotherapy‐remodeled antigenic components. Mn@RM enhances dendritic cell activation, amplifies T cell‐mediated antitumor immunity, and synergizes with radiotherapy and PD‐1 blockade for combination cancer ...
Yiyu Wang, Qiqi Qi, Dezhong Li, Jingshi Tang, Weifeng Wang, Zushun Xu, Qi Xu, Fangfang Du, Qianyuan He   +8 more
wiley   +1 more source

Minimum Procedural Volume Thresholds for Surgical Privileging: A Mixed-Methods Validation and Risk Management Framework in a Multi-Specialty Healthcare Network. [PDF]

Risk Manag Healthc Policy
Suppapitnarm N, Bavonratanavech S, Panyakhamlerd W, Kietdumrongwong P.   +3 more
europepmc   +1 more source

AI‐Designed Cyclic Peptides Enable Controllable Modulation of the CD28 Immune Checkpoint

Advanced Science, EarlyView.
AI‐designed cyclic peptides enable controllable modulation of the CD28 immune checkpoint through reversible disruption of CD28‐CD80/CD86 interactions. The lead peptide, CIP‐3, suppresses T‐cell activation without intrinsic agonist activity, demonstrates dose‐dependent efficacy in a murine colitis model, and attenuates inflammatory cytokine production ...
Katarzyna Kuncewicz, Saurabh Upadhyay, Renjie Zhu, Hongliang Duan, Moustafa T. Gabr   +4 more
wiley   +1 more source

Lessons from COVID-19 for improving delivery of medications for opioid use disorder in future pandemic events: results from a Puerto Rico Delphi consensus panel. [PDF]

Harm Reduct J
Abadie R, Fisher C.
europepmc   +1 more source

AI‐Physics‐Experiment Trinity for Integrated Protein Dynamics Modeling

Advanced Science, EarlyView.
This review unites experiments, physics‐based simulations, and AI as a synergistic triad for protein dynamics modeling. It highlights integrative strategies, resolves sampling and forcefield bottlenecks, and outlines challenges and future directions for accurate, interpretable conformational ensemble prediction.
Chen Shi, Minying Low, Peng Xiu, Kresten Lindorff‐Larsen, Yong Wang   +4 more
wiley   +1 more source

A risk assessment indicator system for common diseases in children and adolescents. [PDF]

PLoS One
Shao Y, Hu B, Lu Y, Yu S, Liang J.
europepmc   +1 more source