Results 271 to 280 of about 293,060 (357)

Protocol of Determining the Effect of Selenium Supplementation on CD4 + T Lymphocyte Count in HIV/AIDS Patients: A Randomized Double Blind Placebo Controlled Trial

, 2011
Sahar Yousefi, Azar Hadadi, Afshin Ostovar, Behnaz Edalat Noor, Mehrnaz Rasoolinejad, Mahboobeh Haji Abdolbaghi, Hossien Khalili   +6 more
openalex   +2 more sources

The clinical value of immune cell composition in the diagnosis of pediatric sepsis. [PDF]

Front Pediatr
Shen J, Zhong Q, Su J, Shen X, Li W, Sun T, Zhang Y, Qi J.   +7 more
europepmc   +1 more source

Normal CD4 and CD3 lymphocyte counts in healthy south Indian adults

Indian Journal of Medical Microbiology, 2010
Srirangaraj, S., Venkatesha, D.
openaire   +3 more sources

Automated analysis of flow cytometry data with minimal training files: Research evaluation of an elastic image registration algorithm for TBNK, stem cell enumeration, and lymphoid screening tube assays

Cytometry Part B: Clinical Cytometry, EarlyView.
Abstract Automated analysis of flow cytometry data can improve objectivity and reduce analysis time but has generally required work by software and algorithm experts. Here, we investigated the performance of BD ElastiGate™ Software (hereafter ElastiGate), which allows users to automate gating by selecting gated training files, then uses elastic image ...
Allison Irvine, Suhail Tahir, Vishnu Tripathi, Farzad Oreizy, Moen Sen, Anthony Giuliano, Anna Lin, Angela Chen, Chih‐Hung Lai, Imelda Omana‐Zapata, Yang Zeng, Paresh Jain, Scott J. Bornheimer   +12 more
wiley   +1 more source

Correlation Analysis of Human Immunological Indicators and Nosocomial Infections, Along With Evaluation Value for Prognosis. [PDF]

J Immunol Res
Wu CJ, Yan J, Sun LP, Ma LQ, Li L, Liu J, Zhang JQ, Ren Y, Bi W.   +8 more
europepmc   +1 more source

Clinical validation of a real‐time machine learning‐based system for the detection of acute myeloid leukemia by flow cytometry

Cytometry Part B: Clinical Cytometry, EarlyView.
Abstract Machine‐learning (ML) models in flow cytometry have the potential to reduce error rates, increase reproducibility, and boost the efficiency of clinical labs. While numerous ML models for flow cytometry data have been proposed, few studies have described the clinical deployment of such models.
Lauren M. Zuromski, Jacob Durtschi, Aimal Aziz, Jeffrey Chumley, Mark Dewey, Paul English, Muir Morrison, Keith Simmon, Blaine Whipple, Brendan O'Fallon, David P. Ng   +10 more
wiley   +1 more source

Why should lymphocytes immune profile matter in sepsis? [PDF]

World J Crit Care Med
Nedel W, Henrique LR, Portela LV.
europepmc   +1 more source

X-linked Lymphoproliferative Disease Type 1 Presenting as Lymphoma in a Male Patient With Atypical Common Variable Immunodeficiency Features: A Case of Delayed Diagnosis. [PDF]

Cureus
Abdulsalam TA, Ahmed S.
europepmc   +1 more source

EFFECT OF ANTI-RETROVIRAL THERAPY ON CD4+ T LYMPHOCYTE COUNT IN HIV INFECTED PATIENTS ATTENDING REGIONAL INSTITUTE OF MEDICAL SCIENCES HOSPITAL, MANIPUR

, 2013
Chitra Yengkokpam, Ch. Urvashi, H. Lokhendro, Brajachand Ng, S Ibishev Kh, YI Singh   +5 more
openalex   +1 more source

Redefining the Skin Barrier: A Microbiome‐Integrated Multilayered Defense Model

Barrier Immunity, EarlyView.
ABSTRACT The skin constitutes a dynamic interface orchestrating a sophisticated multilayered defense system comprising physical, chemical, immune, and microbial barriers. This review synthesizes current understanding of the structural and functional integration of these barriers, emphasizing their synergistic interactions in maintaining cutaneous ...
Jingjing Xia, Mathias Hochgerner, Qingzhen Wei, Xian'ge Zhong, Jiucun Wang   +4 more
wiley   +1 more source