Results 171 to 180 of about 27,333,880 (308)

Artificial intelligence for personalized multiple micronutrient supplementation in maternal health

International Journal of Gynecology &Obstetrics, EarlyView.
Abstract Maternal undernutrition and micronutrient deficiencies remain pervasive, contributing to adverse pregnancy outcomes and long‐term health risks for mothers and offspring. Multiple micronutrient supplementation (MMS) during pregnancy has demonstrated benefits, including reduced risks of low birth weight, small‐for‐gestational‐age births, and ...
Gabriel Davis Jones, Aris T. Papageorghiou, Hassan Shehata, Hema Divakar, Eline M. Van der Beek, Vyta Senikas, Justin C. Konje, Anne‐Beatrice Kihara, Moshe Hod   +8 more
wiley   +1 more source

The Intricate Process of Calcification in Granuloma Formation and the Complications Following <i>M. tuberculosis</i> Infection. [PDF]

Biomolecules
Yedgarian N, Agopian J, Flaig B, Hajjar F, Karapetyan A, Murthy K, Patrikyan A, Tomas K, Tumanyan K, Nasiri MJ, Subbian S, Venketaraman V.   +11 more
europepmc   +1 more source

First insights into the genetic composition of <i>M. tuberculosis</i> population circulating in Kosovo. [PDF]

J Clin Tuberc Other Mycobact Dis
Minias A, Kuzioła M, Ahmeti F, Mehmeti N, Jerliu B, Lila G, Miftari A, Shkodra X, Jakupi X, Kacaniku Z, Kozińska M, Zabost A, Słomka M, Strapagiel D, Dziadek J, Augustynowicz-Kopeć E, Bajrami R.   +16 more
europepmc   +1 more source

Infection latente a M. tuberculosis, mise a jour 2011 [Latent M. tuberculosis infection, update 2011].

, 2011
It is estimated that one third of the world population is latently infected by Mycobacterium tuberculosis and thus at risk of reactivation. Latent tuberculosis (TB) impact in Switzerland is often overlooked. Diagnosis and prophylaxis are insufficiently undertaken, especially for people at higher risk of reactivation due to immunosuppression. Interferon-
Lechartier, B., Mazza-Stalder, J., Janssens, J.P., Nicod, L.P.   +3 more
openaire   +1 more source

A large‐scale single‐cell transcriptomic atlas indicates the immune panorama of influenza A infection

iMeta, EarlyView.
The study presents a large‐scale single‐cell transcriptomic atlas profiling over 612,010 peripheral immune cells from 97 individuals to decode the heterogeneity of influenza infection. These findings indicate a fundamental immune dichotomy determining clinical trajectories: a protective, monocyte‐centric antiviral state in mild disease versus a ...
Yi Wang, Shuzi Liu, Laurence Don Wai Luu, Yongzhi Zhai, Chenliang Zhu, Zhaomin Feng, Yao Tan, Linglong Wan, Jie Wang, Juan Zhou, Jing Wang, Lixin Xie, Quanyi Wang, Fei Xie   +13 more
wiley   +1 more source

Chalkophore-mediated respiratory oxidase flexibility controls <i>M. tuberculosis</i> virulence. [PDF]

Elife
Buglino JA, Ozakman Y, Hatch CE, Benjamin A, Tan DS, Glickman MS.   +5 more
europepmc   +1 more source

Integrating Single‐Cell and Spatial Transcriptomes in HGSOC to Decipher the Metastasis‐Associated Biomarkers

iNew Medicine, EarlyView.
ABSTRACT High‐grade serous ovarian cancer (HGSOC) is the most common and lethal histological subtype of ovarian cancer. This study aimed to identify peritoneal metastasis‐associated biomarkers of HGSOC to provide directions for subsequent treatment. Transcriptome data were extracted from the GEO database and literature. Differential expression analysis,
Jing Zhu, Zhicheng Yu, Yang Zhang, Hui Hong, Xiaoli Wang, Shan Jiang, Ying Zhou, Cheng Peng, Hongbo Chen   +8 more
wiley   +1 more source

Updated Erdman reveals tandem repeat copy number is phase-variable and impacts <i>M. tuberculosis</i> adaptation across evolutionary timescales. [PDF]

mSystems
Modlin SJ, Thosar N, Mejía-Ponce PM, Lunceford RL, Makafe GG, Weinrick B, Valafar F.   +6 more
europepmc   +1 more source

Interpretable machine learning enables early and accurate detection of drug‐induced liver injury: A multicenter study with real‐world clinical translation

Interdisciplinary Medicine, EarlyView.
This study develops an interpretable gradient‐boosting model that accurately identifies drug‐induced liver injury (DILI) using routine laboratory data. The model explains key clinical features through SHapley Additive exPlanations analysis and detects DILI earlier than expert evaluation, offering a transparent and practical tool for precision ...
Jingyi Ling, Shian Zhang, Jun Lin, Zhengju Xu, Runcheng Xu, Qian Lv, Kaixiang Zhang, Sheng Liu, Jie Guo, Cheng Hua, Yin Jia, Xiaoyu Xu, Kun Qian, Shanrong Liu   +13 more
wiley   +1 more source

Subpopulations in clinical samples of <i>M. tuberculosis</i> can give rise to rifampicin resistance and shed light on how resistance is acquired. [PDF]

JAC Antimicrob Resist
Brunner VM, Fowler PW.
europepmc   +1 more source