Retailers are ramping up on personalized nutrition, finally
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CEO & Founder of Qina
"This paper presents an open-source solution to the problem of portion-size estimation consisting of a pocket-sized kitchen scale and a demo mobile application. It is implemented as a soft real-time, low-power consuming embedded system with a Bluetooth connection to the smartphone. Releasing both the hardware and software of the system as open-source paves the way towards accurate nutrition tracking and personalized nutrition".
The effect of dietary fiber on gut barrier function, gut microbiota, short-chain fatty acids, inflammation and clinical outcomes in critically ill patients: A systematic review and meta-analysis
"The purpose of this review (21 studies involving 2084 patients) was to explore the effect of dietary fiber (DF) on gut barrier function, gut microbiota, short-chain fatty acids (SCFAs), inflammation, and clinical outcomes in critically ill patients". The results show there was a significant reduction in intestinal permeability on day 8 in DF supplement group. The relative abundance (RA) of gut microbiota and some SCFAs producers increased in the DF supplement group. There was a significant decrease in C-reactive protein on day 14 and the duration of hospital stay after the DF supplement.
The NRF-ai ("ai" for adequate intake) is an alternative Australian Nutrient Rich Food index. This index, uses all nutrients, in this way avoiding judgments about which nutrients to include. Separate models were developed for females and males, selected age groups, reflecting differences in nutrient requirements and usual intake. In addition, the new nutrient profiling model is used to explore other sustainability aspects, including affordability (NRF-ai per AUD) and ecoefficiency (NRF-ai/environmental impact score).
Perspectives of health practitioners and adults who regained weight on predictors of relapse in weight loss maintenance behaviors: a concept mapping study
This study aimed to explore predictors of relapse in physical activity and dietary behavior from the perspectives of health practitioners and persons who regained weight and identify new predictors of relapse beyond existing knowledge. The results identified 43 predictors of which the majority belonged to the individual domain rather than the environmental domain. Practitioners indicated a change in daily structure, stress, maladaptive coping skills, habitual behavior, and lack of self-efficacy regarding weight loss maintenance as the most important recurrent (mentioned in all groups) predictors. On the contrary, persons who regained weight, indicated lifestyle imbalance or experiencing a life event, lack of perseverance, negative emotional state, abstinence violation effect, decrease in motivation, and indulgence as most important recurrent predictors. This study may provide an opportunity to enhance lifestyle coaching.
"Lingo" is a new biowearable brand designed by Abbott that will measure biomarkers like glucose, ketones, and lactate. The biowearable is based on sensor technology and will be used in several wide-ranging applications like health and wellness, sports, diabetes, weight loss, or keto diet. In Europe, the prediction is to launch later in 2022.
Holobiome is a company that is specialized in microbiome research. With the largest human microbiome collections in the world, also known as the “Microbiome Vault”, Holobiome saves the result of their researches on Holobiome’s “Microbiome Atlas.” With a Human Gut Simulator (HuGS) that simulates the microbial communities in humans, Holobiome has invested decades into growing and screening bacteria for functional capabilities. Now, Unilever has partnered with Holobiome, to identify specific food ingredients that interact with key gut bacteria. "The long-term ambition is to enhance ingredients in certain foods and refreshment products across Unilever’s portfolio to naturally boost levels of certain calming neurotransmitters in the gut, in turn improving mental well-being."
This document provides an introduction to the MHRA’s real-world data (RWD) guideline series and points to consider when evaluating whether a RWD source is of sufficient quality for the intended use.
RWD is defined as data relating to patient health status or delivery of health care collected outside of a clinical study. Sources of RWD include electronic healthcare records (EHR) defined as structured, digital collections of patient-level medical data, primary and secondary care records, disease registries, and administrative data on births and deaths. Other sources of RWD include patient-reported outcomes (PRO) data and data which is collected outside of a clinical study setting such as through wearable devices, specialized/secure websites, or tablets.
Food Innovation and Investment Summit, Kisaco Research, San Francisco, California, 18-19 May 2022