[vc_row][vc_column][vc_column_text] Inventor  ESHEL LIOR [IL]; TOLMACH ALEXANDER [IL]   Publication Number  WO2020230123 (A1)   Applicant  MAKESENSE DIGITAL HEALTH TECH LTD [IL]  Abstract  The invention concerns a method for managing a subject's nutrition that includes measuring continuously the level of a biomarker in a bodily fluid of the subject. The method further includes generating a nutritional analysis using a learning personalized metabolic model and a training procedure, wherein the nutritional analysis includes retroactively identifying consumed meal content and selectively…  [/vc_column_text][vc_empty_space...

[vc_row][vc_column][vc_column_text] Inventor  WOLF JONATHAN THOMAS [GB]; DAVIES RICHARD JAMES [GB]; HADJIGEORGIOU GEORGE [GB]   Publication number  WO2021038530 (A1)    Applicant  ZOE GLOBAL LTD [GB]   Abstract  Techniques are disclosed herein for generating personalized food guidance using predicted food responses. Using the technologies described herein, instead of providing food guidance that is generalized for a group of individuals, personalized food guidance is provided that takes into account an individual's personalized responses to foods, such as the individual's glucose and fat responses, the...

[vc_row][vc_column][vc_column_text] Inventor  [IN] GUTIERREZ-OSUNA RICARDO [US]; MORTAZAVI JACK BOBAK [US]; HUO ZEPENG [US]; COTÉ GERARD L [US]; DEUTZ NICOLAAS E [US]   Publication number  US2020352481 (A1)   Applicant  TEXAS A & M UNIV SYS [US]  Abstract  A method of predicting a composition of a meal includes obtaining data relating to concentration of a biomarker of an individual that consumed the meal, analyzing the data to determine the composition of the meal, wherein the analyzing comprises using a computational model. The computational model relies upon statistical learning...

[vc_row][vc_column][vc_column_text] Inventor  ANGELIDES KIMON [US] +   Publication Number  US2020051693   Applicant  VIVANTE HEALTH INC [US] +   Abstract  Embodiments of this invention include systems and methods for developing individualized dietary and health improvement plans based on an individual's intestinal microbiome and digestive activity. More particularly, the invention is related to a system providing a hydrogen and/or methane sensor device and a wireless platform in communication with the sensor device to periodically analyze the individual's metabolic activity… [/vc_column_text][vc_empty_space height="19px"][/vc_column][/vc_row][vc_row][vc_column css=".vc_custom_1605866005580{padding-top: 20px...

[vc_row][vc_column][vc_column_text] Inventor  ZHU JIPING [CN]; ZHU HONGTAO [CN] +   Publication Number  WO2020224041   Applicant  LIFE WATCH TECH SHANGHAI INC [CN] +   Abstract  An wearable device-based smart real-time health monitoring system, and an implementation method for a smart real-time health monitoring system. The smart real-time health monitoring system comprises a wearable smart terminal, a monitoring end and a third-party service platform. The monitoring end is respectively connected to the wearable smart terminal and the third-party service platform by means of a...

[vc_row][vc_column][vc_column_text] Inventor  MUSIENKO SERGEJ VLADIMIROVICH [RU]; PERFIL'EV ANDREJ VALENTINOVICH [RU]; TYAKHT ALEKSANDR VIKTOROVICH [RU]; POPENKO ANNA SERGEEVNA [RU]; ALEKSEEV DMITRIJ GLEBOVICH [RU] +   Publication Number  WO2020032826  Applicant  ATLAS BIOMED GROUP LTD [GB] +    Abstract  This technical solution relates in general to the field of computing, and in particular to methods and systems for forming a personalized diet of dietary fibre supplements, probiotics and food products after transplantation of gastrointestinal tract microbiota from another person. Claimed is a method for forming a...

[vc_row][vc_column][vc_column_text] Inventor  ESHEL LIOR [IL]; TOLMACH ALEXANDER [IL]   Publication Number  WO2020230123 (A1)   Applicant  MAKESENSE DIGITAL HEALTH TECH LTD [IL]   Abstract  The invention concerns a method for managing a subject's nutrition that includes measuring continuously the level of a biomarker in a bodily fluid of the subject. The method further includes generating a nutritional analysis using a learning personalized metabolic model and a training procedure, wherein the nutritional analysis includes retroactively identifying consumed meal content and selectively …   Importance for the RedTecnomifood  A...

[vc_row][vc_column][vc_column_text] Inventor  ANGELIDES KIMON [US]  Publication Number  US2020273540 (A1)   Applicant  VIVANTE HEALTH INC [US]  Abstract  The invention is related to a system for treating irritable bowel syndrome, Crohn's disease, ulcerative colitis (collectively, inflammatory bowel disease, or “IBD”) by determining a number of indicators, including genetic markers, gene expression levels, levels of certain compounds in the gut or feces, hydrogen and/or methane levels, and concentrations of particular bacteria in the gut or feces and correlating…   Importance for the RedTecnomifood  System for treating digestive...

[vc_row][vc_column][vc_column_text] Inventor  ZRUST LUKÁS [CZ]   Publication Number  US2021000886 (A1)   Applicant  PEPTICUS S R O [CZ]   Abstract  The invention relates to a method of preparation an individually probiotic composition and a food, pharmaceutical or veterinary preparation containing this designed to supplement the friendly microflora in the gastrointestinal tract for human or veterinary use. The composition contains a mixture of at least two different probiotic cultures mixed on the basis of analysis of the microbiome and medical history.   Importance for...

[vc_row][vc_column][vc_column_text] Inventor  WOLF JONATHAN THOMAS [GB]; HADJIGEORGIOU GEORGE [GB]; DAVIES RICHARD JAMES [GB] +   Publication Number  CA3089943 (A1)   Applicant  ZOE GLOBAL LTD [GB]   Abstract  Techniques are disclosed herein for generating personalized nutritional recommendations using predicted values of target biomarkers. A programmatic analysis is performed on different data (microbiome, ketone…) to predict values of target biomarkers associated with an individual. Personalized nutritional recommendations are generated, using the predicted values. [/vc_column_text][vc_empty_space height="19px"][/vc_column][/vc_row][vc_row][vc_column css=".vc_custom_1605866005580{padding-top: 20px !important;}"][qodef_button size="" type="" hover_animation="" target="_blank" icon_pack="" font_weight="" text="More information" link="https://worldwide.espacenet.com/publicationDetails/biblio?DB=EPODOC&II=0&ND=3&adjacent=true&locale=en_EP&FT=D&date=20190815&CC=CA&NR=3089943A1&KC=A1"...