Results 161 to 170 of about 5,782,720 (331)

EMD-Based Method for Supervised Classification of Parkinson's Disease Patients Using Balance Control Data. [PDF]

Bioengineering (Basel), 2022
Safi K, Aly WHF, AlAkkoumi M, Kanj H, Ghedira M, Hutin E.   +5 more
europepmc   +1 more source

Ultrafast visual detection of Streptococcus suis via HtpsC‐targeted LAMP–CRISPR–Cas12a coupled with lateral flow immunochromatography

FEBS Open Bio, EarlyView.
A rapid visual test combines DNA amplification, CRISPR–based target verification, and a lateral flow strip to detect Streptococcus suis. The assay gives results in about 45 min, reduces false‐positive interpretation, and does not require fluorescence equipment.
Liu‐xin Li, Miao Xin, Xiao‐wen Cui, Shi‐yin Yu, Fei Meng, Min Cao, Xiao‐hui Xiong, Yi‐chen Lu   +7 more
wiley   +1 more source

Generative self-supervised learning for seismic event classification [PDF]

Deep learning has been widely applied to seismic signal classification, predominantly through supervised learning, typically relying on large labeled datasets. However, since the process of labeling large volumes of seismic data by domain experts is time-
Stankovic, Lina, Pytharouli, Stella, Jiang, Jiaxin, Stankovic, Vladimir, Murray, David   +4 more
core  

Dactolisib outperforms Rapamycin in potentiating apoptosis induced by XPO1, Bcl‐2 and Mcl‐1 blockade in preclinical glioblastoma models

FEBS Open Bio, EarlyView.
The PAM pathway and its impact on cellular metabolism. Color‐coded key symbols represent Rapamycin (R, orange, targeting mTOR) and Dactolisib (D, green, targeting PI3K/mTOR), indicating their sites of action. Created with BioRenders.com. Glioblastoma resists therapy through interconnected survival programs.
Kai Zhao, Leonie Meyer, Madita Braun, Katharina Otte, Celine Bitter, Maite Pawlik, Hartmann Raifer, Frederik Helmprobst, Axel Pagenstecher, Hans Urban, Michael C. Burger, Michael W. Ronellenfitsch, Joachim P. Steinbach, Jarmila Jedelská, Shamim Bagheri, Behrooz H. Yousefi, Pietro Di Fazio, Markus Luster, Andreas H. Mahnken, Andreas Neubauer, Andreas Burchert, Christopher Nimsky, Jörg W. Bartsch, Tillmann Rusch   +23 more
wiley   +1 more source

On Applying Supervised Classification Techniques in Medicine

, 2001
This paper presents an overview of the Supervised Classification Techniques that can be applied in medicine. Supervised Classification concerns to the Machine Learning area, and many paradigms have been used in order to develop Decision Support Systems that could help the physician in the diagnosis task.
Basilio Sierra, Iñaki Inza, Pedro Larrañaga   +2 more
openaire   +2 more sources

Predicting HIV infection in the decade (2005-2015) pre-COVID-19 in Zimbabwe: A supervised classification-based machine learning approach. [PDF]

PLOS Digit Health, 2023
Birri Makota RB, Musenge E.
europepmc   +1 more source

Semi-Supervised Neural Gas for Adaptive Brain-Computer Interfaces [PDF]

, 2012
Riechmann H, Finke A. Semi-Supervised Neural Gas for Adaptive Brain-Computer Interfaces. In: ESANN 2012 proceedings. i6doc.com; 2012: 121-126.Non-stationarity is inherent in EEG data.
Riechmann, Hannes, Finke, Andrea ; https://orcid.org/   +1 more
core  

Five‐Year Outcomes of Laparoscopic Sphincter‐Preserving Surgery for Rectal Cancer: A Prospective Study in Elderly Vietnamese Patients

Aging and Cancer, EarlyView.
This prospective study demonstrates that laparoscopic sphincter‐preserving surgery is feasible for elderly patients. While overall survival reaches 70% at 5 years, advanced T‐stage and the omission of neoadjuvant therapy significantly drive recurrence, highlighting the need for personalized geriatric protocols despite logistical challenges.
Huu Duc Ho, Quang Le, Ngoc Thach Tran, Van Viet Ung, Loc Vu   +4 more
wiley   +1 more source

Towards automated in vivo parcellation of the human cerebral cortex using supervised classification of magnetic resonance fingerprinting residuals. [PDF]

Cereb Cortex, 2023
Moinian S, Vegh V, Reutens D.
europepmc   +1 more source

Chronobiology of Cancer: How Aging Fuels Oncogenesis at the Molecular Level

Aging and Cancer, EarlyView.
This graphical abstract illustrates the key biological pathways linking aging with cancer development and progression. In the upper left, cumulative exposure to ultraviolet radiation, toxins, and reactive oxygen species (ROS) causes DNA damage and genomic instability, whereas age‐related decline in repair mechanisms, such as ATM/ATR, BER, and NER ...
Anu Singh, Aroonima Misra, Sufian Zaheer
wiley   +1 more source