Results 201 to 210 of about 358,559 (266)

Slc44a2 Deficiency Unveils an IFN‐I–Dependent Feedback Control of pDC Egress

Advanced Science, EarlyView.
Working model of SLC44A2‐mediated maintenance of pDC homeostasis. This model illustrates two central mechanisms by which SLC44A2 regulates pDC homeostasis: (1) SLC44A2 limits IFN‐I production by exporting amino acids (T, N, Q), thereby preventing spontaneous pDC activation.
Ruiqun Chen, Tao Wu, Zhen Shi, Ravi Kumar Verma, Linlin Sheng, Lei Tao, Mingming Yang, Yuchen Wang, Conggang Zhang, Hao Fan, Li Wu, Ligong Chen   +11 more
wiley   +1 more source

When Digital Health Falls Short: Limited Validity of an AI-Powered App for Dietary Assessment in Females with Obesity

Serra M, Alceste D, Jucker N, Haupt L, Elben S, Müller S, Hulshof PJM, Meijer HAJ, Thalheimer A, Steinert RE, Gerber PA, Spector AC, Gero D, Bueter M.   +13 more
europepmc   +1 more source

AI-Powered Analysis of Weight Loss Reports from Reddit: Unlocking Social Media's Potential in Dietary Assessment. [PDF]

Nutrients
Kaloudis E, Kouti V, Triantafillou FM, Ventouris P, Pavlidis R, Bountziouka V.   +5 more
europepmc   +1 more source

Harnessing Large‐Scale Multi‐Omics Data for Risk Prediction and Deep Phenotyping of Valvular Heart Diseases in the General Population

Advanced Science, EarlyView.
Large‐scale UK Biobank analyses identify clinical and proteomic signatures for early prediction of valvular heart disease and its subtypes. Proteins add predictive value for VHD, AVS, and MVR, with outcome‐specific compact panels showing translational potential. Multi‐layer evidence highlights matrix remodeling, protease regulation, immune inflammation,
Zhihao Jiang, Yang Liu, Mingyu Song, Ning Chen, Canqing Yu, Jun Lv, Eric Yuk Fai Wan, Lu Qi, Liming Li, Dianjianyi Sun, Bang Zheng   +10 more
wiley   +1 more source

Development and Pilot Study of myfood24 West Africa-An Online Tool for Dietary Assessment in Nigeria. [PDF]

Nutrients
Uzokwe CA, Nkwoala CC, Ebenso BE, Beer S, Williams G, Iheme GO, Opara CG, Sanusi RA, Ene-Obong HN, Cade JE.   +9 more
europepmc   +1 more source

Corrigendum: The influence of recipe disaggregation in dietary assessment: results from the national food consumption survey in Saint Kitts and Nevis. [PDF]

Front Nutr
Crispim SP, Elias VCM, Matthew-Duncan L, Francis-Grandeson I, Jean F, de Quadros VP, Balcerzak A, de Sousa RF, Frauches AM, Almeida CCB, Hutchinson SD, Charrondière UR, Holmes BA.   +12 more
europepmc   +1 more source

Advancements in Using AI for Dietary Assessment Based on Food Images: Scoping Review. [PDF]

J Med Internet Res
Chotwanvirat P, Prachansuwan A, Sridonpai P, Kriengsinyos W.   +3 more
europepmc   +1 more source

Development and User Experience Evaluation of an Experience Sampling-Based Dietary Assessment Method. [PDF]

Curr Dev Nutr
Verbeke J, Matthys C.
europepmc   +1 more source

Experience Sampling as a dietary assessment method: a scoping review towards implementation. [PDF]

Int J Behav Nutr Phys Act
Verbeke J, Matthys C.
europepmc   +1 more source

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Dietary assessment

2023
This chapter examines the purpose of dietary assessment. Dietary assessment involves the collection of information on the quantity and frequency of foods and drinks consumed over a specified time, and using food composition tables. The level of assessment and method must be selected with careful consideration by taking into account the exact purpose of
Jim Mann, Silke Morrison
openaire   +2 more sources