Results 271 to 280 of about 3,209,064 (352)

Developing evidence‐based, cost‐effective P4 cancer medicine for driving innovation in prevention, therapeutics, patient care and reducing healthcare inequalities

Molecular Oncology, EarlyView.
The cancer problem is increasing globally with projections up to the year 2050 showing unfavourable outcomes in terms of incidence and cancer‐related deaths. The main challenges are prevention, improved therapeutics resulting in increased cure rates and enhanced health‐related quality of life.
Ulrik Ringborg, Joachim von Braun, Julio Celis, Anton Berns, Michael Baumann, Tit Albreht, Nancy Abou‐Zeid, Vanderlei Bagnato, Christian Brandts, Chien‐Jen Chen, Massimiliano di Pietro, Manjit Dosanjh, Thomas Dubois, Alexander Eggermont, Angelika Eggert, Ingemar Ernberg, Sara Faithfull, Johannes Förner, Stefan Fröhling, Manuel Heitor, Leroy Hood, Wei Jiang, Bengt Jönsson, Ravi Kannan, Maria Leptin, Su Li, Peter Lindgren, Douglas Lowy, Jun Ma, Alex Markham, Péter Nagy, Simon Oberst, M. Iqbal Parker, Danielle Rodin, Kevin Ryan, Joachim Schüz, Richard Sullivan, Josep Tabernero, Peter Turkson, Oliver Várhelyi, Harold Varmus, Chijie Wang, Elisabete Weiderpass, Nils Wilking   +43 more
wiley   +1 more source

PARP inhibition and pharmacological ascorbate demonstrate synergy in castration‐resistant prostate cancer

Molecular Oncology, EarlyView.
Pharmacologic ascorbate (vitamin C) increases ROS, disrupts cellular metabolism, and induces DNA damage in CRPC cells. These effects sensitize tumors to PARP inhibition, producing synergistic growth suppression with olaparib in vitro and significantly delayed tumor progression in vivo. Pyruvate rescue confirms ROS‐dependent activity.
Nicolas Gordon, Peter T. Gallagher, Orly I. Richter, Neermala Poudel Neupane, Amy C. Mandigo, Jennifer J. McCann, Emanuela Dylgjeri, Irina Vasilevskaya, Christopher McNair, Channing J. Paller, Wm. Kevin Kelly, Karen E. Knudsen, Matthew J. Schiewer, Ayesha A. Shafi   +13 more
wiley   +1 more source

Pattern Recognition In The Structure Of Strings Of Characters Using Multivariate Statistical Analysis

, 1994
Muhammad Syamsun
openalex   +1 more source

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CHARACTER RECOGNITION

BSSS Journal of Computer, 2022
Character recognition has numerous applications namely postal addresses, bank check amounts, documents, number plates, etc. Development of a recognition system is an emerging need for digitizing handwritten documents that use Tamil characters. Therefore, we created a prediction model to recognize Tamil characters, the model works based on the Deep ...
S Narmatha, R Pooja Shree, R. S. Prajashni, S. Ranjith Kumar   +3 more
openaire   +2 more sources

Optical Character Recognition Techniques: A Review

2022 IEEE International Students' Conference on Electrical, Electronics and Computer Science (SCEECS), 2022
Optical Character recognition is an eminent topic of research in modern times. An exhaustive research is going on character recognition of different languages. These languages mainly include English and Devanagiri in India.
Shubham Srivastava, Ajay Verma, Shekhar Sharma   +2 more
semanticscholar   +1 more source

CNN based Optical Character Recognition and Applications

International Congress on Information and Communication Technology, 2021
The procedure of translating images of handwritten, typewritten, or typed text into a format recognized by computers is called Optical Character Recognition (OCR).
N. Sarika, N. Sirisala, M. S. Velpuru
semanticscholar   +1 more source

DevNet: An Efficient CNN Architecture for Handwritten Devanagari Character Recognition

International journal of pattern recognition and artificial intelligence, 2020
The writing style is a unique characteristic of a human being as it varies from one person to another. Due to such diversity in writing style, handwritten character recognition (HCR) under the purview of pattern recognition is not trivial.
Riya Guha, N. Das, M. Kundu, M. Nasipuri, K. Santosh   +4 more
semanticscholar   +1 more source

Cartographic Character Recognition

SPIE Proceedings, 1989
This work details a methodology for recognizing text elements on cartographic documents. Cartographic Character Recognition differs from traditional OCR in that many fonts may occur on the same page, text may have any orientation, text may follow a curved path, and text may be interfered with by graphics.
Howard Rafal, Matthew Ward
openaire   +1 more source

Oracle Character Recognition by Nearest Neighbor Classification with Deep Metric Learning

IEEE International Conference on Document Analysis and Recognition, 2019
Oracle character is one kind of the earliest hieroglyphics, which can be dated back to Shang Dynasty in China. Oracle character recognition is important for modern archaeology, ancient text understanding, and historical chronology, etc.
Yi-Kang Zhang, Heng Zhang, Yong-Ge Liu, Qing Yang, Cheng-Lin Liu   +4 more
semanticscholar   +1 more source

Online Character Recognition

Third International Conference on Information Technology and Applications (ICITA'05), 2005
Data entry using a pen forms a natural, convenient interface especially for handheld devices, which are very common now. The large number of writing styles and the variability between them makes the problem of writer-independent handwriting recognition a challenging pattern recognition problem.
S. Agarwal, V. Kumar
openaire   +1 more source