Results 141 to 150 of about 1,231,536 (373)

HoneyBee: A Scalable Modular Framework for Creating Multimodal Oncology Datasets with Foundational Embedding Models [PDF]

arXiv
Developing accurate machine learning models for oncology requires large-scale, high-quality multimodal datasets. However, creating such datasets remains challenging due to the complexity and heterogeneity of medical data. To address this challenge, we introduce HoneyBee, a scalable modular framework for building multimodal oncology datasets that ...
arxiv  

The current and future role of the medical oncologist in the professional care for cancer patients: a position paper by the European Society for Medical Oncology (ESMO) [PDF]

, 2017
The number of cancer patients in Europe is rising and significant advances in basic and applied cancer research are making the provision of optimal care more challenging.
Califano, R., Casali, P. G., Cascinu, S., Cervantes, A., Ciardiello, F., Coleman, R., Cruz Hernández, J. J., de Vries, E., Douillard, J.-Y, Eckert, R., Fumasoli, K., Howard, A. J., Pavlidis, N., Piccart, M., Popescu, R. A., Samonigg, H., Schäfer, R., Sessa, C., Stahel, R. A., Van Cutsem, E., Wörmann, B.   +20 more
core  

Adverse prognosis gene expression patterns in metastatic castration‐resistant prostate cancer

Molecular Oncology, EarlyView.
We aggregated a cohort of 1012 mCRPC tissue samples from 769 patients and investigated the association of gene expression‐based pathways with clinical outcomes. Loss of AR signaling, high proliferation, and a glycolytic phenotype were independently prognostic for poor outcomes, and an adverse transcriptional feature score incorporating these pathways ...
Marina N. Sharifi, Eric Feng, Nicholas R. Rydzewski, Amy K. Taylor, Jamie M. Sperger, Yue Shi, Kyle T. Helzer, Matthew L. Bootsma, Viridiana Carreno, Alex H. Chang, Luke A. Nunamaker, Grace C. Blitzer, Tianfu Andy Shang, Aishwarya Subramanian, Anders Bjartell, Andreas Josefsson, Pernilla Wikström, Emily Feng, Manish Kohli, Rendong Yang, Scott M. Dehm, Eric J. Small, Rahul Aggarwal, David A. Quigley, Joshua M. Lang, Shuang G. Zhao, Martin Sjöström   +26 more
wiley   +1 more source

MRI Radiomics for IDH Genotype Prediction in Glioblastoma Diagnosis [PDF]

arXiv
Radiomics is a relatively new field which utilises automatically identified features from radiological scans. It has found a widespread application, particularly in oncology because many of the important oncological biomarkers are not visible to the naked eye.
arxiv  

Attitudes to randomized clinical trials amongst out‐patients attending a medical oncology clinic [PDF]

, 1999
Peter Ellis, Sharon M. Dowsett, Phyllis Butow, Martin H.N. Tattersall   +3 more
openalex   +1 more source

TOMM20 as a driver of cancer aggressiveness via oxidative phosphorylation, maintenance of a reduced state, and resistance to apoptosis

Molecular Oncology, EarlyView.
TOMM20 increases cancer aggressiveness by maintaining a reduced state with increased NADH and NADPH levels, oxidative phosphorylation (OXPHOS), and apoptosis resistance while reducing reactive oxygen species (ROS) levels. Conversely, CRISPR‐Cas9 knockdown of TOMM20 alters these cancer‐aggressive traits.
Ranakul Islam, Megan E. Roche, Zhao Lin, Diana Whitaker‐Menezes, Victor Diaz‐Barros, Eurico Serrano, Maria Paula Martinez Cantarin, Nancy J. Philp, Atrayee Basu Mallick, Ubaldo Martinez‐Outschoorn   +9 more
wiley   +1 more source

A Language Vision Model Approach for Automated Tumor Contouring in Radiation Oncology [PDF]

arXiv
Background: Lung cancer ranks as the leading cause of cancer-related mortality worldwide. The complexity of tumor delineation, crucial for radiation therapy, requires expertise often unavailable in resource-limited settings. Artificial Intelligence(AI), particularly with advancements in deep learning (DL) and natural language processing (NLP), offers ...
arxiv  

Medical oncology [PDF]

, 1999
B. J. Kennedy
openalex   +1 more source

Dosing Oncology Therapeutics in Combination Therapy for Renal Dysfunction: The University of California San Diego Study of Personalized Cancer Therapy to Determine Response and Toxicity (UCSD-PREDICT) Experience. [PDF]

, 2018
Introduction Dose reductions are often required to avoid toxicity in combination therapy for advanced cancers, but information on appropriate dose reductions in renal dysfunction is lacking. This study assessed dose reductions of renally cleared oncology
Capparelli, Edmund, Kurzrock, Razelle, Nikanjam, Mina, Wing, Jason   +3 more
core  

Medical oncology in Asia.

Chinese clinical oncology, 2012
I would like to congratulate that the Society for Translational Cancer Research (STCR) endorsed by the Chinese Society of Clinical Oncology (CSCO) has launched the official journal ‘Chinese Clinical Oncology (CCO). I am greatly honored to join editorial members of CCO who consist of distinguished researchers, teachers and clinicians around the world ...
openaire   +3 more sources