The world needs intelligent systems for detecting and predicting biological threats. The Computing the Biome team is creating a data and AI platform for monitoring and predicting biothreats in a major U.S. city, and to drive economic sustainability..
Predicting the future is not possible, but at Risk Associates we try to consider wide range of potential outcomes for our clients to ensure they have effective plans. Active planning and predicting risks is key to our clients' success...
Predicting the onset of something as chaotic and unpredictable as Turbulence is a challenge worth exploring. This project dives into the sea of predicting different transition to turbulence scenarios... Application of Multiscale Non-Linear..
Remote Viewing Practical Application and Training Services. Consulting services in the field of remote viewing and predicting results of sporting events, namely, providing classes in the fields of remote viewing and predicting of sporting events...
Predicting Patient Readmissions : Predicting the chance of a patient being prematurely readmitted to a hospital... Cleaning Medical Data: Cleaned patient medical data for use by a data science team using libraries such as numpy and pandas in..
Predicting Health combines advanced machine learning technology with clinical knowledge to enable precise, efficient and automated risk stratification without additional data collection... Our approach combines advanced machine learning technology..
Pretello As is a technology company that provide technology and products for monitoring, predicting and managing private and public infrastructure, environment and processes...
Here Aneuscreen provides the answer and the ultimate solution, a revolutionary "once in a lifetime" cost-effective, and highly accurate diagnostic exam, for predicting the future formation of intracranial aneurysms...
of ROP requiring treatment Welcome to the online calculator system, following non vascularized retinal area and duration of mechanical ventilation, for predicting ROP requiring treatment...
Solidmekanik has developed material models for paper materials such as paperboard and corrugated board. The models are used for predicting and optimizing converting processes, packages, corrugated board etc...
Our team has a gift for predicting trends, setting trends, and trailblazing new ones. We have helped direct some of the most successful and important ideas on the planet ... for the planet...
We are a creative agency predicting the future in communication, PR and branding. We love content marketing, social media management marketing, and branding...
DeepCas13 is developed by Wei Li's Lab at Children's National Medical Center, which is a deep learning-based computational model for predicting the Rfx Cas13d (CasRx) sgRNA on-target efficiency...
Statistical newsletter predicting the Rushing & Passing yards, Game Scores. You get a complete projected box score of every College Football and NFL game...
Identification of key biomarkers for predicting CAD progression in inflammatory bowel disease via machine-learning and bioinformatics strategies March 7, 2024..
A quick & accurate tool for predicting the sound insulation in walls, floors and ceilings...
With extensive drop down menus to select materials, and simple choices for construction details you can quickly evaluate different constructions...
Gridfinder is an open source tool for predicting the location of electricity network lines, based on night-time lights satellite imagery and OpenStreetMap data...
Successful neural network applications that our users have developed with our neural network software...
Neural Network Software for Predicting, Forecasting Classification. Genetic Algorithm Software for Optimization Problems..
We have made publicly available our data and code for predicting human visual performance using machine learning, which is developed in our RSS16 paper...
Characterizing downwards closed, strongly first order, relativizable dependencies. Journal of Symbolic Logic, 2019...
An adaptive semantic similarity measure over the Gene Ontology for predicting protein-protein interactions..
Fate models used in EEA and HEA for predicting the distribution of chemicals among physical and biological media are essentially dictated by the intrinsic properties of the chemical substances in question,..