Results 31 to 40 of about 81,713 (355)

Exposures to pesticides and risk of cancer: Evaluation of recent epidemiological evidence in humans and paths forward

open access: yesInternational Journal of Cancer, Volume 152, Issue 5, Page 879-912, 1 March 2023., 2023
Abstract Knowledge of the role in cancer etiology of environmental exposures as pesticides is a prerequisite for primary prevention. We review 63 epidemiological studies on exposure to pesticides and cancer risk in humans published from 2017 to 2021, with emphasis on new findings, methodological approaches, and gaps in the existing literature.
Haleigh Cavalier   +2 more
wiley   +1 more source

Lymphoma segmentation from 3D PET-CT images using a deep evidential network [PDF]

open access: yesInternational Journal of Approximate Reasoning, Volume 149, 2022, Pages 39-60,, 2022
An automatic evidential segmentation method based on Dempster-Shafer theory and deep learning is proposed to segment lymphomas from three-dimensional Positron Emission Tomography (PET) and Computed Tomography (CT) images. The architecture is composed of a deep feature-extraction module and an evidential layer.
arxiv   +1 more source

Benign TdT-positive cells in pediatric and adult lymph nodes: a potential diagnostic pitfall [PDF]

open access: yes, 2018
Benign TdT-positive cells have been documented in a variety of non-hematopoietic tissues. Scant data are however available on their presence in non-neoplastic lymph nodes.
AGOSTINELLI, CLAUDIO   +8 more
core   +1 more source

Co-targeting of Bcl-2 and mTOR pathway triggers synergistic apoptosis in BH3 mimetics resistant acute lymphoblastic leukemia [PDF]

open access: yes, 2015
Several chemo-resistance mechanisms including the Bcl-2 protein family overexpression and constitutive activation of the PI3K/Akt/mTOR signaling have been documented in acute lymphoblastic leukemia (ALL), encouraging targeted approaches to circumvent ...
ALLEGRETTI, MATTEO   +12 more
core   +1 more source

Acute Lymphoblastic Leukemia Detection Using Hypercomplex-Valued Convolutional Neural Networks [PDF]

open access: yes2022 International Joint Conference on Neural Networks (IJCNN), 2022
This paper features convolutional neural networks defined on hypercomplex algebras applied to classify lymphocytes in blood smear digital microscopic images. Such classification is helpful for the diagnosis of acute lymphoblast leukemia (ALL), a type of blood cancer.
arxiv   +1 more source

Consensus definitions of 14 severe acute toxic effects for childhood lymphoblastic leukaemia treatment: a Delphi consensus [PDF]

open access: yes, 2016
Although there are high survival rates for children with acute lymphoblastic leukaemia, their outcome is often counterbalanced by the burden of toxic effects.
Attarbaschi, Andishe   +20 more
core   +2 more sources

No genetic evidence for involvement of Deltaretroviruses in adult patients with precursor and mature T-cell neoplasms [PDF]

open access: yes, 2007
Background The Deltaretrovirus genus comprises viruses that infect humans (HTLV), various simian species (STLV) and cattle (BLV). HTLV-I is the main causative agent in adult T-cell leukemia in endemic areas and some of the simian T-cell lymphotropic ...
Burmeister, Thomas   +4 more
core   +2 more sources

Lymphoblastic Lymphoma of the Palate [PDF]

open access: yesBaylor University Medical Center Proceedings, 2017
Lymphoblastic lymphomas are neoplasms of immature or precursor lymphoid cells with no or limited bone marrow involvement, whose clinical presentation varies according to the immunophenotype. While mediastinal involvement is predominant in T-lymphoblastic lymphomas, B-lymphoblastic lymphomas frequently involve nodal sites.
Geetha Narayanan   +3 more
openaire   +2 more sources

Factors associated with a prolonged hospital stay during induction chemotherapy in newly diagnosed high risk pediatric acute lymphoblastic leukemia [PDF]

open access: yes, 2018
Background High Risk (HR) or Very High Risk (VHR) acute lymphoblastic leukemia (ALL) treated with 4 drug induction chemotherapy is often associated with adverse events.
Althouse, Sandra K.   +4 more
core   +1 more source

Computational diagnosis and risk evaluation for canine lymphoma [PDF]

open access: yesComputers in Biology and Medicine, Volume 53, 1 October 2014, 279-290, 2013
The canine lymphoma blood test detects the levels of two biomarkers, the acute phase proteins (C-Reactive Protein and Haptoglobin). This test can be used for diagnostics, for screening, and for remission monitoring as well. We analyze clinical data, test various machine learning methods and select the best approach to these problems.
arxiv   +1 more source

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