Results 71 to 80 of about 1,061,228 (335)

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

Molecular 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, Marco Siringo, Alessandro Vici, Ann Zeuner, Orietta Gandini, Paola Gazzaniga, Chiara Nicolazzo   +6 more
wiley   +1 more source

Konuşma Tanıma için İnsan-makine Karşılaştırması

Dilbilim Araştırmaları Dergisi, 2008
Speech/voice recognition by machines has been a topic of interest since 1950s. Research that initially adopted dynamic programming methodologies now mostly uses the hidden Markov model as the method for speech recognition ...
Ayşe Gürel, Levent M. Arslan
doaj  

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

Molecular 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, Keren Zohar, Martin Böttcher, Thomas Wartmann, Henry Freudenstein, Maximilian Doelling, Mihailo Andric, Wenjie Shi, Or Kakhlon, Katrin Hippe, Beatrix Jahnke, Dimitrios Mougiakakos, Franziska Baenke, Daniel Stange, Roland S. Croner, Michal Linial, Ulf D. Kahlert   +16 more
wiley   +1 more source

Imperial strategy of cancer cells through mitochondrial transfer

Molecular 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

Likelihood-Maximizing-Based Multiband Spectral Subtraction for Robust Speech Recognition

EURASIP Journal on Advances in Signal Processing, 2009
Automatic speech recognition performance degrades significantly when speech is affected by environmental noise. Nowadays, the major challenge is to achieve good robustness in adverse noisy conditions so that automatic speech recognizers can be used in ...
Bagher BabaAli, Hossein Sameti, Mehran Safayani   +2 more
doaj   +1 more source

Intent Recognition from Speech and Plan Recognition [PDF]

, 2020
In multi-agent systems, the ability to infer intentions allows artificial agents to act proactively and with partial information. In this paper we propose an algorithm to infer a speakers intentions with natural language analysis combined with plan recognition.
Persiani, Michele, Hellström, Thomas
openaire   +3 more sources

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

, 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

FEBS 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, Eric Feng, Tracy Berg, Isabella S. Nguyen, Lilac G. Nguyen, William Chen, Meng Zhang, David Quigley, Marina Sharifi, Haolong Li, Ilsa Coleman, Peter S. Nelson, Martin Sjöström, Shuang G. Zhao   +13 more
wiley   +1 more source

Contextual variability during speech-in-speech recognition [PDF]

The Journal of the Acoustical Society of America, 2014
This study examined the influence of background language variation on speech recognition. English listeners performed an English sentence recognition task in either “pure” background conditions in which all trials had either English or Dutch background babble or in mixed background conditions in which the background language varied across trials (i.e.,
Brouwer, S., Bradlow, A.
openaire   +4 more sources

Teaching Python with team‐based learning: using cloud‐based notebooks for interactive coding education

FEBS Open Bio, EarlyView.
This study presents a novel approach to teaching Python and bioinformatics using team‐based learning and cloud‐hosted notebooks. By integrating interactive coding into biomedical education, the method improves accessibility, student engagement, and confidence—especially for those without a computing background.
Nuno S. Osório, Leonardo D. Garma
wiley   +1 more source