FOOD SPECIAL MEDICAL PURPOSES

Brand Owner (click to sort) Address Description
A-MEND N.V. Nutricia Eerste Stationsstraat 186 Zoetermeer 2712HM Netherlands Food for special medical purposes, namely, dietary drinks and dietary drink mixes; dietetic food and substances adapted for medical use, namely, dietary drinks and dietary drink mixes; dietary supplements for humans; food for babies; nutritional dietary supplements for medical use; nutritional products for medical usage, namely, dietary drinks and dietary drink mixes;
FORTIFIT N.V. Nutricia Eerste Stationsstraat 186 Zoetermeer 2712HM Netherlands Food for special medical purposes; dietetic substances adapted for medical use; food for babies, infants and invalids; nutritional dietary supplements for medical use;FORTIFY FIT;
POLYCAL N.V. Nutricia Eerste Stationsstraat 186 Zoetermeer 2712HM Netherlands Food for special medical purposes; dietetic substances adapted for medical use; food for babies, infants and invalids; food for babies with special nutritional needs; milks for babies and infants; non-dairy and plant-based milks for babies and infants, namely, milks derived from plants, vegetables, cereals, grains, nuts, seeds, beans and fruits; nutritional dietary supplements for medical use; nutritional products for medical usage; cereals for infants; vitamin preparations; dietetic foods for pregnant, lactating and breast feeding women; dietetic milk for pregnant, lactating and breast feeding women; nutritional supplements; dietetic foods adapted for medical purposes; dietary fiber; protein dietary supplements; soy protein dietary supplements; protein supplements shakes;
 

Where the owner name is not linked, that owner no longer owns the brand

    
Technical Examples
  1. The invention includes a medical document handling system and method and automated coding systems and methods for assigning predetermined medical codes to medical documents based on the documents' contents. The invention functions by analyzing electronic medical records and extracting medical information using natural language processing and machine learning. The system collects and amalgamates medical documentation in various formats from multiple sources and locations, normalizes the information, analyzes the information, recognizes information indicating contents corresponding to classification codes, assigns classification codes, and presents information in context correlated to medical records for billing and other purposes.