Results 221 to 230 of about 1,708,388 (381)

Pretreatment Leukocyte Count Ratios as Metastatic Predictive Factors in Luminal Type Breast Cancer. [PDF]

open access: yesAsian Pac J Cancer Prev, 2022
Wira Wiguna IGW   +7 more
europepmc   +1 more source

PATHOLOGICAL OUTCOME IN THE PATIENTS WITH DIFFERENT AILMENTS: A COMPREHENSIVE STUDY IN LAKHIMPUR DISTRICT, ASSAM [PDF]

open access: yes, 2014
Hemoglobin, total leukocyte count, differential leukocyte count, erythrocyte sedimentation rate, random blood sugar, creatinine and blood urea levels were measured in a total of 1123  participants attended at North lakhimpur Civil hospital during the ...
Gupta, Sashi   +3 more
core   +1 more source

Augmentation-Based Deep Learning for Identification of Circulating Tumor Cells [PDF]

open access: yesarXiv
Circulating tumor cells (CTCs) are crucial biomarkers in liquid biopsy, offering a noninvasive tool for cancer patient management. However, their identification remains particularly challenging due to their limited number and heterogeneity. Labeling samples for contrast limits the generalization of fluorescence-based methods across different hospital ...
arxiv  

Macrophage HM13/SPP Enhances Foamy Macrophage Formation and Atherogenesis

open access: yesAdvanced Science, EarlyView.
Previous research suggests that AIP may prevent atherogenic foamy macrophage formation. This study reveals that AIP, via its chaperone interaction with AHR, inhibits p38‐c‐JUN‐mediated transactivation of HM13, which encodes the ERAD protease HM13/SPP. HM13/SPP promotes foamy macrophage formation in addition to atherogenesis and plaque foamy macrophage ...
Yu Cao   +15 more
wiley   +1 more source

Total Leukocyte Count Depicting the Degree of Inflammation in Acute Appendicitis. [PDF]

open access: yesCureus, 2021
Bilal M   +7 more
europepmc   +1 more source

Serum carcinoembryonic antigen is positively associated with leukocyte count in Korean adults

open access: yesJournal of clinical laboratory analysis (Print), 2018
Yu-Jin Kwon   +3 more
semanticscholar   +1 more source

Integrative Multi‐Omics and Routine Blood Analysis Using Deep Learning: Cost‐Effective Early Prediction of Chronic Disease Risks

open access: yesAdvanced Science, EarlyView.
Omicsformer, a deep learning model, integrates multi‐omics and routine blood data to accurately predict risks for nine chronic diseases, including cancer and cardiovascular conditions. Validated using large scale clinical data, it reveals early risk trajectories, advancing personalized medicine and offering a cost‐effective, community‐based solution ...
Zhibin Dong   +20 more
wiley   +1 more source

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