Results 41 to 50 of about 164,371 (301)

A Survey on Deep Learning for Precision Oncology

Diagnostics, 2022
Precision oncology, which ensures optimized cancer treatment tailored to the unique biology of a patient’s disease, has rapidly developed and is of great clinical importance. Deep learning has become the main method for precision oncology.
Ching-Wei Wang, Muhammad-Adil Khalil, Nabila Puspita Firdi   +2 more
doaj   +1 more source

Usability of deep learning and H&E images predict disease outcome-emerging tool to optimize clinical trials

npj Precision Oncology, 2022
Understanding factors that impact prognosis for cancer patients have high clinical relevance for treatment decisions and monitoring of the disease outcome.
Talha Qaiser, Ching-Yi Lee, Michel Vandenberghe, Joe Yeh, Marios A. Gavrielides, Jason Hipp, Marietta Scott, Joachim Reischl   +7 more
doaj   +1 more source

Precision Oncology: A Global Perspective on Implementation and Policy Development [PDF]

Precision Oncology; Policy developmentOncología de precisión; Desarrollo de políticasOncologia de precisió; Desenvolupament de polítiquesDespite the acknowledged merits of precision oncology (PO) and its increasing global implementation, its full ...
AGGARWAL, CHARU, Basel-Salmon, Lina, Dienstmann, Rodrigo, Horgan, Denis, Grover, Surbhi, Thomas, David, Tanner, Marcel   +6 more
core   +1 more source

Precision Medicine in Oncology

, 2019
The emerging precision medicine approach aims to tailor disease prevention and treatment to each patient on the basis of individual variability, environmental factors and lifestyle. Fundamental achievements in the last few decades have converged to offer
Andrea Lunardi, Nardella, Caterina, Angela Re, Caterina Nardella, Quattrone, Alessandro, Re, Angela, Alessandro Quattrone, Lunardi, Andrea   +7 more
core   +1 more source

Developing and Validating Risk Assessment Models of Clinical Outcomes in Modern Oncology.

, 2020
The identification of prognostic factors and building of risk assessment prognostic models will continue to play a major role in 21st century medicine in patient management and decision making.
Li, Cai, Halabi, Susan, Luo, Sheng
core   +1 more source

Emapalumab for Immune Effector Cell‐Associated Hemophagocytic Lymphohistiocytosis‐Like Syndrome Following CD19‐Directed CAR‐T in Two Patients With B‐ALL: Clinical and Biomarker Correlates

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Immune effector cell‐associated hemophagocytic lymphohistiocytosis‐like syndrome (IEC‐HS) is a life‐threatening hyperinflammatory toxicity distinct from cytokine release syndrome (CRS) and neurotoxicity following chimeric antigen receptor T‐cell (CAR‐T) therapy. In a single‐institution retrospective cohort of pediatric and young adult patients
Thomas J. Galletta, Jeremy D. Rubinstein, Christopher E. Dandoy, Ruby Khoury, Angela Faulhaber, Christine L. Phillips, Christa Krupski   +6 more
wiley   +1 more source

Variant information systems for precision oncology

BMC Medical Informatics and Decision Making, 2018
Background The decreasing cost of obtaining high-quality calls of genomic variants and the increasing availability of clinically relevant data on such variants are important drivers for personalized oncology.
Johannes Starlinger, Steffen Pallarz, Jurica Ševa, Damian Rieke, Christine Sers, Ulrich Keilholz, Ulf Leser   +6 more
doaj   +1 more source

Increased Risk of Sarcomas in Children With Congenital Anomalies: Findings From the Genetic Overlap Between Anomalies and Cancer in Kids (GOBACK) Registry Linkage Study

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Pediatric sarcomas are a heterogeneous group of tumors that contribute disproportionately to cancer mortality in children. Although congenital anomalies are among the strongest known risk factors for childhood cancer, the risk of specific sarcoma subtypes among affected individuals has not yet been thoroughly evaluated. Procedure We
Russ Wolters, Ji Yun Tark, Tiffany M. Chambers, Tania A. Desrosiers, Michael E. Scheurer, Charles Shumate, Wendy N. Nembhard, Mahsa M. Yazdy, Eirini Nestoridi, Amanda E. Janitz, Jean Paul Tanner, Russell S. Kirby, Jason L. Salemi, Yao Yu, Chad D. Huff, Sharon E. Plon, Philip J. Lupo, Jeremy M. Schraw   +17 more
wiley   +1 more source

A Review of Precision Oncology Knowledgebases for Determining the Clinical Actionability of Genetic Variants

Frontiers in Cell and Developmental Biology, 2020
The increased availability of tumor genetic testing and targeted cancer therapies contributes to the advancement of precision medicine in the field of oncology.
Xuanyi Li, Jeremy L. Warner, Jeremy L. Warner   +2 more
doaj   +1 more source

Epigenomic technologies for precision oncology

Seminars in Cancer Biology, 2022
Epigenetic patterns in a cell control the expression of genes and consequently determine the phenotype of a cell. Cancer cells possess altered epigenomes which include aberrant patterns of DNA methylation, histone tail modifications, nucleosome positioning and of the three-dimensional chromatin organization within a nucleus.
Dieter Weichenhan, Daniel B. Lipka, Pavlo Lutsik, Ashish Goyal, Christoph Plass   +4 more
openaire   +2 more sources