Results 51 to 60 of about 70,075 (241)

Advances and future of Radiation Oncology [PDF]

open access: yesReports of Practical Oncology & Radiotherapy, 2013
Review of recent advances and vision for future developments in clinical practice of Radiation Oncology.There have been substantial research and technological developments in Radiation Oncology over the past 40 years.The relevant literature was reviewed and the authors offer their perspective on future opportunities for advancement in Radiation ...
Sasa Mutic, Carlos A. Perez
openaire   +3 more sources

Adenosine A3 receptor antagonists as anti‐tumor treatment in human prostate cancer: an in vitro study

open access: yesFEBS Open Bio, EarlyView.
The A3 adenosine receptors (A3ARs) are overexpressed in prostate cancer. AR 292 and AR 357, as A3AR antagonists, are capable of blocking proliferation, modulating the expression of drug transporter genes involved in chemoresistance, ferroptosis, and the hypoxia response, and inducing cell death.
Maria Beatrice Morelli   +15 more
wiley   +1 more source

Understanding and Overcoming Immunotherapy Resistance in Skin Cancer: Mechanisms and Strategies

open access: yesAging and Cancer, EarlyView.
This narrative review explores the mechanisms driving immunotherapy resistance in skin cancer, including tumor microenvironment factors, genetic mutations, and immune evasion strategies. It highlights potential strategies to overcome resistance, offering insights for improving therapeutic outcomes and guiding future research in personalized ...
Shreya Singh Beniwal   +8 more
wiley   +1 more source

Radiomics strategies for risk assessment of tumour failure in head-and-neck cancer [PDF]

open access: yesarXiv, 2017
Quantitative extraction of high-dimensional mineable data from medical images is a process known as radiomics. Radiomics is foreseen as an essential prognostic tool for cancer risk assessment and the quantification of intratumoural heterogeneity. In this work, 1615 radiomic features (quantifying tumour image intensity, shape, texture) extracted from ...
arxiv  

Radiation Oncology: Today and Tomorrow [PDF]

open access: yesFrontiers in Oncology, 2011
The twentieth century witnessed the birth of the medical discipline of Radiation Oncology, beginning with the discovery and clinical application of radium in the early 1900s. Subsequently, clinical radiation oncology evolved as a major modality for the treatment of most solid cancers with the initial use of orthovoltage x-rays, to the use of ...
openaire   +3 more sources

Labeling for Big Data in radiation oncology: The Radiation Oncology Structures ontology

open access: yesPLOS ONE, 2018
Leveraging Electronic Health Records (EHR) and Oncology Information Systems (OIS) has great potential to generate hypotheses for cancer treatment, since they directly provide medical data on a large scale. In order to gather a significant amount of patients with a high level of clinical details, multicenter studies are necessary.
Jean-Emmanuel Bibault   +4 more
openaire   +5 more sources

Textbook of Radiation Oncology [PDF]

open access: yesBritish Journal of Cancer, 2005
The second edition of this textbook, published 6 years after the first, is edited by two eminent radiation oncologists from the Memorial Sloan-Kettering Cancer Centre, New York, and the University of California, San Francisco. The editors state that their aim was to use contributors that had connections with these institutions in order to present a ...
openaire   +1 more source

Supportive therapy in radiation oncology [PDF]

open access: bronze, 1977
Marvin Rotman   +3 more
openalex   +1 more source

Preoperative radiation therapy(a plan for combined therapy by the radiation therapy oncology group and the central oncology group) [PDF]

open access: bronze, 1974
Luther W. Brady   +5 more
openalex   +1 more source

The Radiation Oncology NLP Database [PDF]

open access: yesarXiv
We present the Radiation Oncology NLP Database (ROND), the first dedicated Natural Language Processing (NLP) dataset for radiation oncology, an important medical specialty that has received limited attention from the NLP community in the past. With the advent of Artificial General Intelligence (AGI), there is an increasing need for specialized datasets
arxiv  

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