Maternal and fetal outcomes in gestational diabetes mellitus: a narrative review of dietary interventions.

Introduction: Gestational diabetes mellitus (GDM) is associated with a myriad of maternal and fetal complications that severely compromise the mother and child's future health. Dietary interventions are effective in reducing the risk of GDM. However, when diagnosed with GDM in 2nd and 3rd the effectiveness of these interventions on maternal and fetal health remains unexplored.

A cross-sectional study on risk factors of premenstrual syndrome among college-going students in Pune.

Objectives: Premenstrual Syndrome (PMS) is a combination of emotional and physical symptoms occurring the week before menstruation and lasts 2-3 days during menstruation. This study aims to examine the dietary intake and lifestyle triggers among students with and without PMS from Pune, India.

Methods: We conducted an interview-based, cross-sectional study among 360 college-going students aged 18 to 24 in Pune.

Navigating next-gen nutrition care using artificial intelligence-assisted dietary assessment tools-a scoping review of potential applications.

Introduction: Recent developments in Artificial Intelligence (AI) and Machine Learning (ML) technologies have opened new avenues for their applications in dietary assessments. Conventional dietary assessment methods are time-consuming, labor-driven, and have high recall bias. AI-assisted tools can be user-friendly and provide accurate dietary data.

Whole Genome Sequencing to Identify Novel Germline Fumarate Hydratase Mutation in Child With Bilateral Renal Cell Carcinoma.

An 11-year-old presented with bilateral renal cell carcinoma (RCC) with FH-deficient RCC confirmed by immunohistochemistry. WGS confirmed no coding variants but identified a rare intronic variant in FH (c.1391-269A>G).

Surfactant-Polymer Complexation and Competition on Drug Nanocrystal Surfaces Control Crystallinity.

Nanosizing drug crystals has emerged as a successful approach to enabling oral bioavailability, as increasing drug crystal surface area improves dissolution kinetics and effective solubility. Recently, bottom-up methods have been developed to directly assemble nanosized crystals by leveraging polymer and surfactant excipients during crystallization to control crystal size, morphology, and structure. However, while significant research has investigated how polymers and other single additives inhibit or promote crystallization in pharmaceutical systems, there is little work studying the mechanistic interactions of multiple excipients on drug crystal structure and the extent of crystallinity, which can influence formulation performance.