Results 111 to 120 of about 1,231,536 (373)

ADVANCES IN MEDICAL ONCOLOGY, RESEARCH AND EDUCATION [PDF]

, 1979

openalex   +1 more source

A machine learning pipeline for supporting differentiation of glioblastomas from single brain metastases [PDF]

, 2016
Machine learning has provided, over the last decades, tools for knowledge extraction in complex medical domains. Most of these tools, though, are ad hoc solutions and lack the systematic approach that would be required to become mainstream in medical ...
Arús, Carles, de Barros, Nuno M. Pedrosa, Julià Sapé, Margarida, Knecht, Urspeter, Mocioiu, Victor, Ortega Martorell, Sandra, Slotboom, Johannes, Vellido Alcacena, Alfredo   +7 more
core  

Etoposide‐induced cancer cell death: roles of mitochondrial VDAC1 and calpain, and resistance mechanisms

Molecular Oncology, EarlyView.
The complex mode of action of the topoisomerase II inhibitor etoposide in triggering apoptosis involves several mechanisms: overexpression of the mitochondrial protein VDAC1, leading to its oligomerization and formation of a large channel that mediates the release of pro‐apoptotic protein; and overexpression of the apoptosis regulators p53, Bax, and ...
Aditya Karunanithi Nivedita, Varda Shoshan‐Barmatz   +1 more
wiley   +1 more source

Toward a Unified Graph-Based Representation of Medical Data for Precision Oncology Medicine [PDF]

arXiv
We present a new unified graph-based representation of medical data, combining genetic information and medical records of patients with medical knowledge via a unique knowledge graph. This approach allows us to infer meaningful information and explanations that would be unavailable by looking at each data set separately. The systematic use of different
arxiv  

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

arXiv, 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  

Guidelines for training in medical oncology from the American board of internal medicine [PDF]

, 1977

openalex   +1 more source

Respiratory complex I‐mediated NAD+ regeneration regulates cancer cell proliferation through the transcriptional and translational control of p21Cip1 expression by SIRT3 and SIRT7

Molecular Oncology, EarlyView.
NAD+ regeneration by mitochondrial complex I NADH dehydrogenase is important for cancer cell proliferation. Specifically, NAD+ is necessary for the activities of NAD+‐dependent deacetylases SIRT3 and SIRT7, which suppress the expression of p21Cip1 cyclin‐dependent kinase inhibitor, an antiproliferative molecule, at the translational and transcriptional
Masato Higurashi, Kazunori Mori, Hidetsugu Nakagawa, Momoko Uchida, Fumihiro Ishikawa, Motoko Shibanuma   +5 more
wiley   +1 more source

Major Advances in the Treatment of Cancer What does a Non-Oncologist need to know?

Sultan Qaboos University Medical Journal, 2008
The last few years have seen major advances in the management of cancers. Since it is not possible for the non-oncologist to keep abreast with the latest developments in the field of oncology, this review summarises the most significant advances in the ...
Ikram A Burney, Mansour S Al-Moundhri
doaj  

OncoGPT: A Medical Conversational Model Tailored with Oncology Domain Expertise on a Large Language Model Meta-AI (LLaMA) [PDF]

arXiv
In the past year, there has been a growing trend in applying Large Language Models (LLMs) to the field of medicine, particularly with the advent of advanced language models such as ChatGPT developed by OpenAI. However, there is limited research on LLMs specifically addressing oncology-related queries.
arxiv  

American Board of Internal Medicine guidelines for training in hematology and medical oncology [PDF]

, 1977

openalex   +1 more source