Results 71 to 80 of about 325,723 (299)

CRISPR targeting of FOXL2 c.402C>G mutation reduces malignant phenotype in granulosa tumor cells and identifies anti‐tumoral compounds

open access: yesMolecular Oncology, EarlyView.
FOXL2 c.402C>G mutation drives granulosa cell tumors. Using CRISPR technology, we selectively corrected this mutation, reducing malignancy and increasing sensitivity to dasatinib and ketoconazole. Transcriptomic changes revealed potential therapeutic targets, demonstrating CRISPR's promise for treating this rare ovarian cancer.
Sandra Amarilla‐Quintana   +17 more
wiley   +1 more source

Developing an Urdu Lemmatizer Using a Dictionary-Based Lookup Approach

open access: yesApplied Sciences, 2023
Lemmatization aims at returning the root form of a word. The lemmatizer is envisioned as a vital instrument that can assist in many Natural Language Processing (NLP) tasks.
Saima Shaukat   +2 more
doaj   +1 more source

Integration of single‐cell and bulk RNA‐sequencing data reveals the prognostic potential of epithelial gene markers for prostate cancer

open access: yesMolecular Oncology, EarlyView.
Prostate cancer is a leading malignancy with significant clinical heterogeneity in men. An 11‐gene signature derived from dysregulated epithelial cell markers effectively predicted biochemical recurrence‐free survival in patients who underwent radical surgery or radiotherapy.
Zhuofan Mou, Lorna W. Harries
wiley   +1 more source

Applying Automated Machine Translation to Educational Video Courses [PDF]

open access: yesarXiv, 2023
We studied the capability of automated machine translation in the online video education space by automatically translating Khan Academy videos with state-of-the-art translation models and applying text-to-speech synthesis and audio/video synchronization to build engaging videos in target languages.
arxiv  

Extending a model for ontology-based Arabic-English machine translation [PDF]

open access: yesInternational Journal of Artificial Intelligence and Applications (IJAIA), Vol.10, No.1, January 2019, 2019
The acceleration in telecommunication needs leads to many groups of research, especially in communication facilitating and Machine Translation fields. While people contact with others having different languages and cultures, they need to have instant translations.
arxiv   +1 more source

Peripheral blood proteome biomarkers distinguish immunosuppressive features of cancer progression

open access: yesMolecular Oncology, EarlyView.
Immune status significantly influences cancer progression. This study used plasma proteomics to analyze benign 67NR and malignant 4T1 breast tumor models at early and late tumor stages. Immune‐related proteins–osteopontin (Spp1), lactotransferrin (Ltf), calreticulin (Calr) and peroxiredoxin 2 (Prdx2)–were associated with systemic myeloid‐derived ...
Yeon Ji Park   +6 more
wiley   +1 more source

Disempowering the Translator as Intercultural Mediator. The Age of the New Media [PDF]

open access: yesCultural Intertexts, 2016
Marketing quality translations in view of advertising local cultures has become increasingly difficult in the context of the omnipresent electronic means of getting the message across.
Alexandru PRAISLER
doaj  

Machine translation from Catalan to Sardinian: a translation tool for a language in the process of standardisation

open access: yesLinguamática, 2017
This article describes the development of a free/open-source rule-based machine translation system for Catalan to Sardinian based on the Apertium platform.
Gianfranco Fronteddu   +2 more
doaj   +1 more source

Artificial intelligence in healthcare: Setting new algo RHYTHM in medicine

open access: yesAsian Journal of Medical Sciences, 2022
Artificial intelligence (AI) is a rapidly expanding avenue in science and is often used to describe the use of computers, big data mining, modeling, and network that may simulate intelligent behavior and critical thinking similar to a human being but at ...
Ruby Dhar   +2 more
doaj   +1 more source

Testing Machine Translation via Referential Transparency [PDF]

open access: yesarXiv, 2020
Machine translation software has seen rapid progress in recent years due to the advancement of deep neural networks. People routinely use machine translation software in their daily lives, such as ordering food in a foreign restaurant, receiving medical diagnosis and treatment from foreign doctors, and reading international political news online ...
arxiv  

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