Results 251 to 260 of about 3,320,969 (355)

Challenges in Removing US Residency Training Requirements for State Licensure. [PDF]

J Grad Med Educ
Bohler F, Simon CA, Chaiyasate K.
europepmc   +1 more source

Biomechanical Phenotyping Reveals Unique Mechanobiological Signatures of Early‐Onset Colorectal Cancer

Advanced Science, EarlyView.
This study identifies a unique physical signature of colorectal cancer in younger adults: their tissues are mechanically stiffer than those in older patients with the same cancer. Furthermore, stromal remodeling in early‐onset colorectal cancer promotes epithelial mechanotransduction and proliferation, showing how mechanical alterations in the tissue ...
Nicole C. Huning, Munir H. Buhaya, Victor V. Nguyen, Afeefah Khazi‐Syed, Haider A. Ali, Adil Khan, Angela Fan, Robert C. Fisher, Zhikai Chi, Indu Raman, Guangchun Chen, Chengsong Zhu, Mengxi Yu, Andrew R. Jamieson, Sara Roccabianca, Victor D. Varner, Cheryl M. Lewis, Emina H. Huang, Jacopo Ferruzzi   +18 more
wiley   +1 more source

Knowledge of Business Practices in Healthcare: The Overlooked Non-Technical Skill in General Surgery Residency Training

, 2021
Matthew Camacho, Maria B.J. Chun, Kenric M. Murayama   +2 more
openalex   +1 more source

Improving Family Medicine Residency Training in Women's Health-Related Procedures at a Community Hospital. [PDF]

Cureus
Azhar E, Zareen S, Fatima H, Umer M, Guerra-Bauman F, Atif S, Barrera T, Patel F, Kamal S, Yousaf MS, Waheed A.   +10 more
europepmc   +1 more source

Stromal Cell‐Mast Cell Communication Orchestrates Anti‐Viral Immunity in the Meninges

Advanced Science, EarlyView.
This study delineates the spatial distribution and postnatal maturation of meningeal mast cells and uncovers their essential role in antiviral immunity. Using genetic models, mast cells are shown to promote CD8⁺ T cell infiltration and viral clearance via IL‐33 receptor signaling and synergistic activation by IL‐33 and ATP from infected stromal cells ...
Qingqing Li, Weijia Chen, Mengxue Sun, Xinbo Ni, Qishan Ran, Xiaoyu Hu, Fang Cao, Wenwen Zeng   +7 more
wiley   +1 more source

Neurology Residency Training in 2022: Insights from the American Academy of Neurology's Resident Survey. [PDF]

Neurol Educ
Emmert BE, Lenka A, Frey J, Gilbert LA, Ostendorf T, Rheaume CE, Pawar GV.   +6 more
europepmc   +1 more source

AI‐Directed 3D Printing of Hierarchical Polyurethane Foams

Advanced Science, EarlyView.
Digitally guided direct ink writing, combined with AI‐generated design, enables the fabrication of hierarchical polyurethane foams with tunable multiscale porosity. This approach produces architected foams featuring interconnected open‐cell networks and tailored mechanical properties, advancing the development of adaptive, high‐performance materials ...
Dhanush Patil, Jie Tian, Kun Jiang, Clarissa Westover, Sri Vaishnavi Thummalapalli, Arunachalam Ramanathan, Arpita Shome, Natalie Crutchfield, M. Taylor Sobczak, Sean Lee, Hongyue Sun, Elizabeth J. Brisbois, Hitesh Handa, Timothy E. Long, Xianqiao Wang, Kenan Song   +15 more
wiley   +1 more source

Targeting Microglial CD49a Inhibits Neuroinflammation and Demonstrates Therapeutic Potential for Parkinson's Disease

Advanced Science, EarlyView.
This study shows that integrin receptor CD49a (Itga1 gene) is significantly upregulated in hyperactivated microglia and microglia‐specific knockdown of Itga1 rescues neuroinflammation and neurodegeneration in a chronic Parkinson's disease (PD) model by targeting PGAM5‐mediated mitochondrial dysfunction and NLRP3 activation. Targeted inhibition of CD49a
Huanpeng Lu, Yunmin Zhu, Xi Wang, Zelin Wu, Zijian Xu, Rongqing Chen, Yanwu Guo   +6 more
wiley   +1 more source

Examining the perception of residency training among Nigerian medical students: a nationwide pilot survey. [PDF]

BMC Med Educ
Aderinto N, Babalola A, Olatunji G, Kokori E, Abraham IC, Aboje JE, Afolabi SA, Akinjola A, Ukoaka BM, Ogieuhi IJ, Egbunu E, Igwe SC, Komolafe R, Moghib K, Babalola A, Taiwo OO.   +15 more
europepmc   +1 more source

Uncertainty‐Quantified Primary Particle Size Prediction in Li‐Rich NCM Materials via Machine Learning and Chemistry‐Aware Imputation

Advanced Science, EarlyView.
This study demonstrates a machine learning framework that predicts the primary particle size of Lithium‐rich Nickel‐Cobalt‐Manganese (Li‐rich NCM) materials from synthesis conditions, even with incomplete literature data. By combining chemistry‐aware imputation with uncertainty‐quantified modeling, it identifies sintering temperature and time as ...
Benediktus Madika, Chaeyul Kang, JooSung Shim, Taemin Park, Jung Hyeon Moon, EunAe Cho, Seungbum Hong   +6 more
wiley   +1 more source