Modeling hepatic fibrosis in TP53 knockout iPSC‐derived human liver organoids
This study developed iPSC‐derived human liver organoids with TP53 gene knockout to model human liver fibrosis. These organoids showed elevated myofibroblast activation, early disease markers, and advanced fibrotic hallmarks. The use of profibrotic differentiation medium further amplified the fibrotic signature seen in the organoids.
Mustafa Karabicici +8 more
wiley +1 more source
Cultural Sensitivity in AI Translation of Chinese Language: Evaluating AI’s Capability to Grasp Culturally Rich Texts. The widespread adoption of Artificial Intelligence (AI) in translation has fundamentally reshaped global communication by enhancing ...
Iulia Elena CÎNDEA, Jiong WANG
doaj +1 more source
Measuring post-editing time and effort for different types of machine translation errors [PDF]
Post-editing (PE) of machine translation (MT) is becoming more and more common in the professional translation setting. However, many users refuse to employ MT due to bad quality of the output it provides and even reject post-editing job offers.
Corpas Pastor, Gloria +3 more
core
Screening for lung cancer: A systematic review of overdiagnosis and its implications
Low‐dose computed tomography (CT) screening for lung cancer may increase overdiagnosis compared to no screening, though the risk is likely low versus chest X‐ray. Our review of 8 trials (84 660 participants) shows added costs. Further research with strict adherence to modern nodule management strategies may help determine the extent to which ...
Fiorella Karina Fernández‐Sáenz +12 more
wiley +1 more source
Revisiting Reflection: AI-Driven Transformation of Translation Reflection
This conceptual article extends Chesterman’s 1997 stages of translation by three additional stages – problem solving, processing, and co-evolving – and redefines translation through reflective practice.
Carmen Heine
doaj +1 more source
Bridging SMT and TM with translation recommendation [PDF]
We propose a translation recommendation framework to integrate Statistical Machine Translation (SMT) output with Translation Memory (TM) systems. The framework recommends SMT outputs to a TM user when it predicts that SMT outputs are more suitable for ...
He, Yifan +3 more
core
Comprehension and trust in crises: investigating the impact of machine translation and post-editing [PDF]
We conducted a survey to understand the impact of machine translation and postediting awareness on comprehension of and trust in messages disseminated to prepare the public for a weather-related crisis, i.e. flooding.
Cadwell, Patrick +2 more
core +1 more source
Liquid biopsy epigenetics: establishing a molecular profile based on cell‐free DNA
Cell‐free DNA (cfDNA) fragments in plasma from cancer patients carry epigenetic signatures reflecting their cells of origin. These epigenetic features include DNA methylation, nucleosome modifications, and variations in fragmentation. This review describes the biological properties of each feature and explores optimal strategies for harnessing cfDNA ...
Christoffer Trier Maansson +2 more
wiley +1 more source
Pilot study on medical translations in lay language : post-editing by language specialists, domain specialists or both? [PDF]
Despite the rich history of research into medical translation, there is a notable lack of empirical studies on the best workflow for this task, especially in a modern translation setting involving post-editing of machine translation. This pilot study was
Buysschaert, Joost +5 more
core +1 more source
Intein‐based modular chimeric antigen receptor platform for specific CD19/CD20 co‐targeting
CARtein is a modular CAR platform that uses split inteins to splice antigen‐recognition modules onto a universal signaling backbone, enabling precise, scarless assembly without re‐engineering signaling domains. Deployed here against CD19 and CD20 in B‐cell malignancies, the design supports flexible multi‐antigen targeting to boost T‐cell activation and
Pablo Gonzalez‐Garcia +9 more
wiley +1 more source

