Results 71 to 80 of about 3,161,098 (343)

Decrypting cancer's spatial code: from single cells to tissue niches

open access: yesMolecular Oncology, EarlyView.
Spatial transcriptomics maps gene activity across tissues, offering powerful insights into how cancer cells are organised, switch states and interact with their surroundings. This review outlines emerging computational, artificial intelligence (AI) and geospatial approaches to define cell states, uncover tumour niches and integrate spatial data with ...
Cenk Celik   +4 more
wiley   +1 more source

Effect of Hearing Impairment on Receptive Language Development among Children Between 2-5 Years

open access: yesJournal Riphah College of Rehabilitation Sciences, 2017
Background: Hearing is the process of sound reception by the ear, its manipulation and conduction to brain. The ability to understand words and language is called receptive language.
Abdul Qadeer   +4 more
doaj  

The ACCEPTance of automation: refining circulating tumor cells enumeration for improved metastatic colorectal cancer prognosis

open access: yesMolecular Oncology, EarlyView.
This study highlights the potential of automated enumeration using the ACCEPT software to refine circulating tumor cell (CTC) detection in metastatic colorectal cancer (mCRC). The automated method demonstrates improved accuracy and reduced variability compared to the manual approach.
Michela De Meo   +6 more
wiley   +1 more source

Patient‐specific pharmacogenomics demonstrates xCT as predictive therapeutic target in colon cancer with possible implications in tumor connectivity

open access: yesMolecular Oncology, EarlyView.
This study integrates transcriptomic profiling of matched tumor and healthy tissues from 32 colorectal cancer patients with functional validation in patient‐derived organoids, revealing dysregulated metabolic programs driven by overexpressed xCT (SLC7A11) and SLC3A2, identifying an oncogenic cystine/glutamate transporter signature linked to ...
Marco Strecker   +16 more
wiley   +1 more source

Simulating dysarthric speech for training data augmentation in clinical speech applications

open access: yes, 2018
Training machine learning algorithms for speech applications requires large, labeled training data sets. This is problematic for clinical applications where obtaining such data is prohibitively expensive because of privacy concerns or lack of access.
Berisha, Visar   +3 more
core   +1 more source

Imperial strategy of cancer cells through mitochondrial transfer

open access: yesMolecular Oncology, EarlyView.
Cangkrama et al. demonstrated that cancer cells donate their mitochondria to fibroblasts through mitochondrial transfer, reprogramming them into ‘MitoCAF’. Likewise, our group has identified mitochondrial transfer from cancer cells to tumor infiltrating lymphocytes, resulting in mitochondrial ‘hijack’ and impaired antitumor immunity.
Takamasa Ishino, Yosuke Togashi
wiley   +1 more source

Mixture Density Networks, Human Articulatory Data and Acoustic-to-Articulatory Inversion of Continuous Speech [PDF]

open access: yes, 2001
Researchers have been investigating methods for retrieving the articulation underlying an acoustic speech signal for more than three decades. A successful method would find many applications, for example: low bit-rate speech coding, helping individuals ...
Richmond, K.
core  

Identifying prognostic targets in metastatic prostate cancer beyond AR

open access: yesFEBS Open Bio, EarlyView.
Genome‐wide functional screens combined with a large gene expression database and clinical outcomes can identify new therapeutic vulnerabilities in prostate cancer. Eight potentially druggable targets demonstrated strong dependency in cell lines, were associated with worse prognosis clinically, and showed evidence of protein expression in prostate ...
Emily Feng   +13 more
wiley   +1 more source

Speech enhancement using deep learning [PDF]

open access: yes, 2017
This thesis explores the possibility to achieve enhancement on noisy speech signals using Deep Neural Networks. Signal enhancement is a classic problem in speech processing.
Badescu, Dan Mihai
core  

Constrained structure of ancient Chinese poetry facilitates speech content grouping

open access: yes, 2020
Ancient Chinese poetry is constituted by structured language that deviates from ordinary language usage [1, 2]; its poetic genres impose unique combinatory constraints on linguistic elements [3].
Blohm, S.   +5 more
core   +1 more source

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