Results 81 to 90 of about 13,351 (224)

Using Machine Learning and Natural Language Processing to Review and Classify the Medical Literature on Cancer Susceptibility Genes [PDF]

arXiv, 2019
PURPOSE: The medical literature relevant to germline genetics is growing exponentially. Clinicians need tools monitoring and prioritizing the literature to understand the clinical implications of the pathogenic genetic variants. We developed and evaluated two machine learning models to classify abstracts as relevant to the penetrance (risk of cancer ...
arxiv  

PanelPRO: A R package for multi-syndrome, multi-gene risk modeling for individuals with a family history of cancer [PDF]

arXiv, 2020
Identifying individuals who are at high risk of cancer due to inherited germline mutations is critical for effective implementation of personalized prevention strategies. Most existing models to identify these individuals focus on specific syndromes by including family and personal history for a small number of cancers.
arxiv  

Rational Design and Organoid‐Based Evaluation of a Cocktail CAR‐γδ T Cell Therapy for Heterogeneous Glioblastoma

Advanced Science, EarlyView.
A novel “prof” cocktail therapy is designed. It screens antigens, selects personalized antigen panels, engineers optimized CAR‐Vδ1 T cells, and tests in patient‐derived GBM organoids, offering hope for effective CAR‐T drugs against heterogeneous solid tumors. Abstract Various challenges, including tumor heterogeneity and inadequate T cell infiltration,
Guidong Zhu, Zhongzheng Sun, Yingchao Liu, Jiang Liu, Linpei Guo, Guojing Pei, Ying Jiang, Baowang Miao, Zhen Li, Ping Zhang, Dongqi Tang, Wen Zhang, Chengwei Wang   +12 more
wiley   +1 more source

A companion to the preclinical common data elements for genomics, transcriptomics, and epigenomics data in rodent epilepsy models. A report of the TASK3‐WG4 omics working group of the ILAE/AES joint translational TASK force

Epilepsia Open, EarlyView., 2022
Abstract The International League Against Epilepsy/American Epilepsy Society (ILAE/AES) Joint Translational Task Force established the TASK3 working groups to create common data elements (CDEs) for various preclinical epilepsy research disciplines. The aim of the CDEs is to improve the standardization of experimental designs across a range of epilepsy ...
Erwin A. van Vliet, Michael S. Hildebrand, James D. Mills, Gary P. Brennan, Tore Eid, Susan A. Masino, Vicky Whittemore, Laura Bindila, Kevin K. Wang, Manisha Patel, Piero Perucca, Christopher A. Reid   +11 more
wiley   +1 more source

Interview with the World Class Authorities Frontiers of Cancer Research: An exclusive interview with Professor Luis Diaz

Annals of Gastroenterological Surgery, EarlyView.
This is the second installment in the series, “The Interview with the World‐Class Authorities.” We are honored to welcome Prof. Luis Diaz, the Director of the Division of Solid Tumor Oncology at Memorial Sloan Kettering Cancer Center and Editor‐in‐Chief of Cancer Discovery. Prof.
Haruna Takeda, Koshi Mimori, Masanobu Oshima, Ken Shirabe, Yuko Kitagawa   +4 more
wiley   +1 more source

A companion to the preclinical common data elements for rodent genetic epilepsy models. A report of the TASK3‐WG1B: Paediatric and genetic models working group of the ILAE/AES joint translational TASK force

Epilepsia Open, EarlyView., 2022
Abstract Rodent models of epilepsy remain the cornerstone of research into the mechanisms underlying genetic epilepsy. Reproducibility of experiments using these rodent models, occurring across a diversity of laboratories and commercial vendors, remains an issue impacting the cost‐effectiveness and scientific rigor of the studies performed.
Massimo Mantegazza, Stėphane Auvin, Melissa Barker‐Haliski, Anna‐Maria Katsarou, Hana Kubova, Aristea S. Galanopoulou, Bridgette Semple, Christopher A. Reid   +7 more
wiley   +1 more source

Germline Mutations and Ancestry in Prostate Cancer

Current Oncology Reports
Abstract Purpose of Review Prostate cancer is the most frequently diagnosed non-cutaneous malignancy of men in the USA; notably, the incidence is higher among men of African, followed by European and Asian ancestry. Germline mutations and, in particular, mutations in DNA damage repair genes (DDRGs) have been implicated ...
Bataba, Eudoxie, Babcock, Kevin, Isensee, Kathryn A., Eldhose, Binil, Kohaar, Indu, Chesnut, Gregory T., Dobi, Albert   +6 more
openaire   +2 more sources

Safety and Robustness in Decision Making: Deep Bayesian Recurrent Neural Networks for Somatic Variant Calling in Cancer [PDF]

arXiv, 2019
The genomic profile underlying an individual tumor can be highly informative in the creation of a personalized cancer treatment strategy for a given patient; a practice known as precision oncology. This involves next generation sequencing of a tumor sample and the subsequent identification of genomic aberrations, such as somatic mutations, to provide ...
arxiv  

TP53‐Mutated Myeloid Neoplasms: 2024 Update on Diagnosis, Risk‐Stratification, and Management

American Journal of Hematology, EarlyView.
ABSTRACT Alterations in the tumor suppressor gene TP53 are common in human cancers and are associated with an aggressive nature. Approximately 8%–12% of myelodysplastic syndrome (MDS) and acute myeloid leukemia (AML) harbor TP53 mutations (TP53mut) and present immense challenges due to inherent chemoresistance and poor outcomes.
Mithun Vinod Shah, Daniel A. Arber, Devendra K. Hiwase   +2 more
wiley   +1 more source

Diversity against adversity: How adaptive immunity evolves potent antibodies [PDF]

arXiv, 2008
How does immune system evolve functional proteins - potent antibodies - in such a short time? We address this question using a microscopic, protein-level, sequence-based model of humoral immune response with explicitly defined interactions between Immunoglobulins, host and pathogen proteins.
arxiv