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Phenotype Software In Asia Middle East
6 software items found
by:Phenome Networks based inRehovot, ISRAEL
Unity) uses advanced GWAS and QTL analysis and standardized terminology to identify the genetic markers affecting the traits you are looking for. The Genomics module allows you to see the big picture, by evaluating marker effects on phenotypes not only in your study but also in different experiments and population ...
by:Indica Labs Inc. based inAlbuquerque, NEW MEXICO (USA)
HALO AI classifiers can be trained to quantify tissue classes, to segment tissue classes for analysis with other HALO image analysis modules, to find rare events or cells in tissues, and to categorize cell populations into specific ...
by:Indica Labs Inc. based inAlbuquerque, NEW MEXICO (USA)
Indica Labs’ Highplex FL module allows for simultaneous analysis of an unlimited number of fluorescent markers in any cellular compartment – nucleus, cytoplasm, and/or membrane. With the option to define specific cell phenotypes according to marker positivity, this module is ideally suited for applications in immuno-oncology where multiple markers are required to ...
by:nference, Inc. based inCambridge, MASSACHUSETTS (USA)
Our scientists use the nference platform and data in collaboration with your teams to tackle your most important questions and challenges. nference is creating the largest labeled EMR dataset in healthcare. EMR data contains longitudinal real-world, “deep data” rich in clinical phenotypes and outcomes spanning across therapeutic areas, but exists in in largely ...
by:Lunit Inc. based inSeoul, SOUTH KOREA
Predicting immunotherapy outcome with AI analysis; Finding more responders to cancer treatment; Tissue Data is huge and complex; Complex is what AI does ...
by:nference, Inc. based inCambridge, MASSACHUSETTS (USA)
We offer a vertically integrated, end-to-end solutions and software to make the most of your data. Maximizing your data to improve patient outcomes. We partner with you to securely process and transform your raw unstructured and semi-structured EMR data into structured data that can be used to develop solutions to healthcare’s biggest ...