Results 161 to 170 of about 113,866 (372)

Gland Segmentation in Histopathological Images by Deep Neural Network [PDF]

open access: yesarXiv, 2019
Histology method is vital in the diagnosis and prognosis of cancers and many other diseases. For the analysis of histopathological images, we need to detect and segment all gland structures. These images are very challenging, and the task of segmentation is even challenging for specialists.
arxiv  

Safety Evaluation of Serendipity Berry Sweet Protein From Komagataella phaffii

open access: yesJournal of Applied Toxicology, EarlyView.
ABSTRACT Serendipity Berry Sweet Protein (sweelin) is a novel hyper‐sweet thermophilic protein designed using Artificial Intelligence Computational Protein Design (AI‐CPD) to improve the stability and sensory profile of the protein found in serendipity berry (Dioscoreophyllum cumminsii).
Yael Lifshitz   +12 more
wiley   +1 more source

The efficacy of PDE5 inhibitors in diabetic patients

open access: yesAndrology, Volume 11, Issue 2, Page 245-256, February 2023., 2023
Abstract Background Phosphodiesterase 5 inhibitors (PDE5i), since their introduction in the late 1990s, have proven their efficacy in treating several conditions, predominantly pulmonary hypertension and erectile dysfunction where they remain the first‐line therapeutic option.
Agnieszka Swiecicka
wiley   +1 more source

SARS-CoV-2 Affects Thyroid and Adrenal Glands: An 18F-FDG PET/CT Study. [PDF]

open access: yesBiomedicines, 2023
Lauri C   +9 more
europepmc   +1 more source

Accessory Adrenal Cortical Bodies in the Pig [PDF]

open access: yes, 1940
It is a well known fact that laboratory animals not injected with adrenal cortical extracts may survive the removal of both adrenal glands because of accessory adrenal cortical tissue which is usually located in close approximation to the ...
Gilmore, James W.
core   +2 more sources

MRSegmentator: Multi-Modality Segmentation of 40 Classes in MRI and CT [PDF]

open access: yesarXiv
Purpose: To develop and evaluate a deep learning model for multi-organ segmentation of MRI scans. Materials and Methods: The model was trained on 1,200 manually annotated 3D axial MRI scans from the UK Biobank, 221 in-house MRI scans, and 1228 CT scans from the TotalSegmentator dataset. A human-in-the-loop annotation workflow was employed, leveraging
arxiv  

Hypertrophic cardiomyopathy combined with renal and adrenal aplasia in a male with Noonan syndrome from RAF1 variant

open access: yes
ESC Heart Failure, EarlyView.
Ying Wang   +7 more
wiley   +1 more source

Predictive Effect of FT3 Within the Euthyroid Range on HDL‐C in Patients With Type 2 Diabetes: A Cross‐Sectional Analysis of Inpatients in China

open access: yesJournal of Clinical Laboratory Analysis, EarlyView.
Our research is important for identifying the optimal FT3 range to delay the progression of cardiovascular disease in patients with T2DM. These findings provide valuable insights to guide clinicians in preventing and managing cardiovascular disease in this population.
Jinmei Xu   +3 more
wiley   +1 more source

Tuberculosis of Adrenal Glands-A Population-based Case-control Study. [PDF]

open access: yesJ Endocr Soc, 2023
Lindh JD   +4 more
europepmc   +1 more source

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