Results 161 to 170 of about 333,806 (313)

Gut function among children treated for severe acute malnutrition: A cohort study in Uganda

JPGN Reports, EarlyView.
Abstract Objectives Impaired gut function in children with severe acute malnutrition (SAM) is associated with morbidity. We aimed to assess changes in six biomarkers representing different domains of gut function among children with complicated SAM during nutritional rehabilitation, and to identify predictors of these changes.
Betty Lanyero, Nicolette Nabukeera–Barungi, Ezekiel Mupere, Bikila S. Megersa, Iris Weidema, Pingping Jiang, Maria Wiese, Musemma K. Muhammed, Henrik Friis, Hanne Frøkiær, Dennis S. Nielsen, Vibeke Brix Christensen, Benedikte Grenov   +12 more
wiley   +1 more source

The use of edible insects in human food

Journal of the Science of Food and Agriculture, EarlyView.
Abstract The world population is expected to reach approximately 10 billion people by 2050, which will significantly increase global food demand and may lead to agricultural shortages and a higher risk of food insecurity. In this context, this review discusses the potential of insects as alternative sources of animal protein, addressing their ...
Pamela Barroso de Oliveira, Hugo Calixto Fonseca, Cláudia Regina Vieira, Gleidson Giordano Pinto de Carvalho, Jane Sélia dos Reis dos Coimbra, Bruna Mara Aparecida de Carvalho Mesquita   +5 more
wiley   +1 more source

Introducing the Mother Infant Lactation Questionnaire (MILQ): A Patient-reported Outcome Measure. [PDF]

Plast Reconstr Surg Glob Open
White AG, Nuzzi LC, McNamara CT, Firriolo JM, Labow BI.   +4 more
europepmc   +1 more source

Shear Wave Elastography for Characterization of Breast Lesions in Clinical Routine

Journal of Ultrasound in Medicine, EarlyView.
Objectives Breast cancer remains a major global health challenge, and conventional B‐mode ultrasound frequently encounters limitations in reliably distinguishing benign from malignant lesions, particularly within intermediate Breast Imaging‐Reporting and Data System (BI‐RADS) categories.
Sylvia Kelemen, Tician Schnitzler, Simin Laures, Daniela Schwegler‐Guggemos, Nikki Rommers, Sebastian Schindera, Michael Golatta   +6 more
wiley   +1 more source

Breastfeeding Challenges and Determinants among Mothers withGestational Diabetes: A Systematic Review. [PDF]

Int J Fertil Steril
Asghari S, Jahani Shoorab N, Shahbazzadegan S, Khadivzadeh T.   +3 more
europepmc   +1 more source

Efficacy of Lebrikizumab in Patients With Severe Atopic Dermatitis Who Would be Eligible for Treatment Based on the South Korean Reimbursement Criteria

JEADV Clinical Practice, EarlyView.
ABSTRACT Background Lebrikizumab is approved to treat patients with moderate‐to‐severe atopic dermatitis (AD). Objectives This study evaluated the 16‐week efficacy outcomes of lebrikizumab in adults and adolescents with severe AD in ADvocate trials who would be eligible for treatment based on South Korean reimbursement‐like criteria. Methods This was a
Chong Hyun Won, Chun Wook Park, Jiyoung Ahn, Joo Yeon Ko, Sang Hyun Cho, Yang Won Lee, Joo Hee Lee, Khai Jing Ng, Min Young Hong, Jinglin Zhong, Martin Dossenbach, Sang Wook Son   +11 more
wiley   +1 more source

Interpreting the World Health Assembly Targets on Exclusive Breastfeeding by 2025: What is expected of each country?

World Nutrition, 2019
Arun Gupta, JAI PRAKASH DADHICH, Patti Rundall, Nupur Bidla   +3 more
doaj   +1 more source

Comment on: Re-thinking benign inflammation of the lactating breast: Classification, prevention, and management

Women's Health, 2023
Ann M Witt, Sheila Kredit
doaj   +1 more source

Breastfeeding at one year after birth: duration and associated factors in primiparous women in Sweden - a longitudinal study. [PDF]

Int Breastfeed J
Johansson C, Hildingsson I, Edqvist M, Bonnevier A, Rubertsson C.   +4 more
europepmc   +1 more source

The Role of Artificial Intelligence in Modern Allergology: A Review of Applications in Diagnosis, Prediction, and Management

JEADV Clinical Practice, EarlyView.
ABSTRACT Artificial Intelligence is rapidly transforming allergology by enhancing diagnosis, risk prediction, automation, patient communication, education, and therapy development. Machine learning approaches, including convolutional neural networks, recurrent architectures, and transformer‐based models, enable analysis of complex datasets from ...
Sebastian Seurig, Stephan Traidl, Sonja Mathes   +2 more
wiley   +1 more source