Results 21 to 30 of about 1,905,123 (363)

Attitudes of advanced Australian medical oncology trainees to rural practice [PDF]

, 2008
Aim: To identify the views of medical oncology trainees regarding rural training posts and rural practice overall, and to identify factors that may improve recruitment. Methods: A questionnaire was posted to all advanced oncology trainees in Australia
Clarke, Kerrie A., Francis, Heather Marion, Francis, Jillian Joy, Steer, Christopher B., Underhill, Craig R.   +4 more
core   +1 more source

Applications of the ACGT Master Ontology on Cancer [PDF]

, 2008
In this paper we present applications of the ACGT Master Ontology (MO) which is a new terminology resource for a transnational network providing data exchange in oncology, emphasizing the integration of both clinical and molecular data.
A. Cali, A. Gómez-Pérez, A.L. Rector, B. Smith, B. Smith, C. Wittekind, J.E. Andrews, J.J. Cimino, K.H. Buetow, L. Martín, M. Tsiknakis, P. Grenon, W. Ceusters, W.A. Schulz   +13 more
core   +3 more sources

DROID: Dose-ranging Approach to Optimizing Dose in Oncology Drug Development [PDF]

arXiv, 2022
In the era of targeted therapy, there has been increasing concern about the development of oncology drugs based on the "more is better" paradigm, developed decades ago for chemotherapy. Recently, the US Food and Drug Administration (FDA) initiated Project Optimus to reform the dose optimization and dose selection paradigm in oncology drug development ...
arxiv  

Pan-Canadian Pharmaceutical Alliance (pCPA): Timelines Analysis and Policy Implications [PDF]

, 2019
© 2019 Salek, Lussier Hoskyn, Johns, Allen and Sehgal. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY).This analysis follows our recent study showing that Canadian public reimbursement delays
Adcock, Balasubramanian, Bertozzi, Bruce, Cave, Curtis, Hazell, Jeffcott, Milliken, Millson, Navarria, O’Connor, Pessina, Russo, Salek, von Elm   +15 more
core   +2 more sources

The Organ Trail: A Review of Biomarkers of Organ Failure

Frontiers in Oncology, 2020
Pediatric organ failure and transplant populations face significant risks of morbidity and mortality. The risk of organ failure itself may be disproportionately higher among pediatric oncology patients, as cancer may originate within and/or metastasize ...
Long Dao, Dristhi Ragoonanan, Sofia Yi, Rita Swinford, Demetrios Petropoulos, Kris M. Mahadeo, Shulin Li   +6 more
doaj   +1 more source

Cadaveric White Matter Dissection Study of the Telencephalic Flexure: Surgical Implications

Frontiers in Neurology, 2022
Neurosurgery has traditionally been overtly focused on the study of anatomy and functions of cortical areas with microsurgical techniques aimed at preserving eloquent cortices.
Pablo González-López, Giulia Cossu, Cynthia M. Thomas, Jeffery S. Marston, Cristina Gómez, Etienne Pralong, Mahmoud Messerer, Roy T. Daniel   +7 more
doaj   +1 more source

CORAL: Expert-Curated medical Oncology Reports to Advance Language Model Inference [PDF]

, 2023
Both medical care and observational studies in oncology require a thorough understanding of a patient's disease progression and treatment history, often elaborately documented in clinical notes. Despite their vital role, no current oncology information representation and annotation schema fully encapsulates the diversity of information recorded within ...
arxiv   +1 more source

Organization of medical care in the oncology profile to patients outside the territory of their insurance in the context of changes in the regulatory rulemaking

Consilium Medicum, 2021
Background. Currently, there are large-scale changes in providing medical care in the oncology profile, that are reflected in the regulatory legal acts of the Ministry of Health of Russia, which will come into force in 2022 and will guide the ...
Nikolai A. Ognerubov, Roman V. Zelepukin
doaj   +1 more source

A review of mechanistic learning in mathematical oncology [PDF]

arXiv, 2023
Mechanistic learning, the synergistic combination of knowledge-driven and data-driven modeling, is an emerging field. In particular, in mathematical oncology, the application of mathematical modeling to cancer biology and oncology, the use of mechanistic learning is growing.
arxiv  

Multimodal Data Integration for Oncology in the Era of Deep Neural Networks: A Review [PDF]

, 2023
Cancer has relational information residing at varying scales, modalities, and resolutions of the acquired data, such as radiology, pathology, genomics, proteomics, and clinical records. Integrating diverse data types can improve the accuracy and reliability of cancer diagnosis and treatment.
arxiv   +1 more source