Results 101 to 110 of about 1,068,869 (255)

Essential Updates 2024–2025: Surgical Strategy for Esophageal Cancer Toward a New Paradigm in the Era of Immunotherapy and Personalization

Annals of Gastroenterological Surgery, EarlyView.
This review summarizes key advances from 2024 to 2025 that are reshaping esophageal cancer surgery toward a strategy‐oriented, personalized paradigm through the integration of immunotherapy, population aging, and intelligent technologies. Adjuvant nivolumab after neoadjuvant chemoradiotherapy remains the only perioperative approach with durable benefit,
Shuichiro Oya, Koichi Yagi, Yoshifumi Baba   +2 more
wiley   +1 more source

Using Deep Convolutional Networks for Gesture Recognition in American\n Sign Language [PDF]

, 2017
Vivek Bheda, Dianna Radpour
openalex   +1 more source

Neuropsychological evaluation in American Sign Language: A case study of a deaf patient with epilepsy. [PDF]

Epilepsy Behav Rep, 2022
Miranda M, Arias F, Arain A, Newman B, Rolston J, Richards S, Peters A, Pick LH.   +7 more
europepmc   +1 more source

Association of age at pancreatic cancer diagnosis with smoking and drinking: A hospital‐based and meta‐analysis study

Advances in Digestive Medicine, EarlyView.
Abstract Recent trends show an alarming rise in pancreatic cancer prevalence among young individuals. Previous studies have presented differences in age at diagnosis. The study aimed to examine the likelihood of a younger age at diagnosis in individuals exposed to known risk factors, compared with those without exposure.
Ro‐Ting Lin, Louise E. Anthony, Hathaichon Inchai, Lung‐Chang Chien, Chun‐Chieh Yeh, Chi‐Ying Yang, Jaw‐Town Lin   +6 more
wiley   +1 more source

Phonological development in American Sign Language-signing children: Insights from pseudosign repetition tasks. [PDF]

Front Psychol, 2022
Gu S, Chen Pichler D, Kozak LV, Lillo-Martin D.   +3 more
europepmc   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

Advanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

A Usage-Based Proposal for Argument Structure of Directional Verbs in American Sign Language. [PDF]

Front Psychol, 2022
Hou L.
europepmc   +1 more source

Deep Learning‐Assisted Coherent Raman Scattering Microscopy

Advanced Intelligent Discovery, EarlyView.
The analytical capabilities of coherent Raman scattering microscopy are augmented through deep learning integration. This synergistic paradigm improves fundamental performance via denoising, deconvolution, and hyperspectral unmixing. Concurrently, it enhances downstream image analysis including subcellular localization, virtual staining, and clinical ...
Jianlin Liu, Rujia Liu, Xinyan Zhang, Xun Chen, Shuhua Yue   +4 more
wiley   +1 more source

Comparison of Chinese and American Sign Language Interpretation Majors and Some Enlightenment [PDF]

, 2019
Ting Yang
openalex   +1 more source

Smart Flexible Tactile Sensors: Recent Progress in Device Designs, Intelligent Algorithms, and Multidisciplinary Applications

Advanced Intelligent Discovery, EarlyView.
Flexible tactile sensors have considerable potential for broad application in healthcare monitoring, human–machine interfaces, and bioinspired robotics. This review explores recent progress in device design, performance optimization, and intelligent applications. It highlights how AI algorithms enhance environmental adaptability and perception accuracy
Siyuan Wang, Ming Dong, Rongrong Bao, Caofeng Pan   +3 more
wiley   +1 more source