Results 151 to 160 of about 8,025 (247)

Interventions to Reduce Implicit Bias in High-Stakes Professional Judgements: A Systematic Review. [PDF]

Behav Sci (Basel)
Merla I, Gabbert F, Scott AJ.
europepmc   +1 more source

Clinical Significance of PD‐L1 and HLA Expression in Esophageal Squamous Cell Carcinoma in Response to Immunotherapy

Annals of Gastroenterological Surgery, EarlyView.
This study evaluated immune‐related biomarkers in esophageal squamous cell carcinoma treated with immune checkpoint inhibitors after postoperative recurrence. PD‐L1 expression in tumor‐associated macrophages and tumor cells, together with HLA class I downregulation and HLA‐DR expression, were associated with favorable responses to immunotherapy.
Kosuke Kanemitsu, Yoshiyuki Tagayasu, Yoshihiro Komohara, Cheng Pan, Rin Yamada, Yukio Fujiwara, Kazuto Harada, Keisuke Kosumi, Yoshifumi Baba, Masaaki Iwatsuki   +9 more
wiley   +1 more source

Application of virtual reality haptic simulators in periodontics: insights from dental professionals. [PDF]

Front Oral Health
Arias-Herrera S, Catala-Oriola Z, Firmino-Canhoto J, Gramatges-Rojas A, Sittoni-Pino MF, Flacco N.   +5 more
europepmc   +1 more source

Automation of Surgical Workflow Recognition: Unveiling the Surgical Instrument Kinematics that Underly Robot‐Assisted Prostatectomy Procedures

Advanced Intelligent Discovery, EarlyView.
Automated procedural analysis is recognized as one of the major game changers for robotic surgery. Meaning digital analysis needs to replace the manual assessments that set todays standard. Mechanical robotic‐instrument tracking enables the derivation of quantitative kinematic metrics that support behavior‐based workflow segmentation into distinct ...
Kateryna Pirkovets, Matthias N. van Oosterom, Vera A. Ottens, Henk G. van der Poel, Fijs W. B. van Leeuwen   +4 more
wiley   +1 more source

3D printing technology in hepatobiliary surgery education: a systematic review. [PDF]

Ann Med
Lin J, Li W, Yu X, Zhang Y, Xiao Y, Li X, Wang C, Geyu C, Tian J.   +8 more
europepmc   +1 more source

Deep Learning‐Assisted Design of Mechanical Metamaterials

Advanced Intelligent Discovery, EarlyView.
This review examines the role of data‐driven deep learning methodologies in advancing mechanical metamaterial design, focusing on the specific methodologies, applications, challenges, and outlooks of this field. Mechanical metamaterials (MMs), characterized by their extraordinary mechanical behaviors derived from architected microstructures, have ...
Zisheng Zong, Pu Wen, Zhiping Chai, Dunxuan Wu, Han Ding, Zhigang Wu   +5 more
wiley   +1 more source

Preparing Nursing Students for Obstetric Emergencies: Effects of High-Fidelity Simulation on Knowledge, Confidence and Learning. [PDF]

Nurs Rep
Fernández Idiago M, Velarde-García JF, Arrogante O, Zaragoza-García I, Álvarez-Embarba B, Fernández-Alonso V, López-Pedraza L.   +6 more
europepmc   +1 more source

Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook

Advanced Intelligent Discovery, EarlyView.
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang, Xinyi Chen, Xu Ye, Yulin Yang, Bin Ai   +4 more
wiley   +1 more source

Performance of DeepSeek in the generation of in-training examination questions in radiology resident education. [PDF]

NPJ Digit Med
Qian W, Li K, Cao F, Wang S, Mao J, Wang C.   +5 more
europepmc   +1 more source

Comparison of DeePMD, MTP, GAP, ACE and MACE Machine‐Learned Potentials for Radiation‐Damage Simulations: A User Perspective

Advanced Intelligent Discovery, EarlyView.
The authors evaluated six machine‐learned interatomic potentials for simulating threshold displacement energies and tritium diffusion in LiAlO2 essential for tritium production. Trained on the same density functional theory data and benchmarked against traditional models for accuracy, stability, displacement energies, and cost, Moment Tensor Potential ...
Ankit Roy, Ram Devanathan, Sarah Allec, Giridhar Nandipati, Andrew M. Casella, David J. Senor, Duane D. Johnson, Ganesh Balasubramanian, Ayoub Soulami   +8 more
wiley   +1 more source