We have compiled a list of manufacturers, distributors, product information, reference prices, and rankings for Prediction Program.
ipros is IPROS GMS ・ IPROS One of the largest technical database sites in Japan that collects information on.

Prediction Program - List of Manufacturers, Suppliers, Companies and Products

Prediction Program Product List

1～2 item / All 2 items

Displayed results
Tohoku University Technology: Prediction Algorithm of Virus Mutation: T20-434

Tohoku University Technology: Prediction Algorithm of Virus Mutation: T20-434

Face the pathogens like SARS-Cov-2

To develop novel and effective diagnostic/therapeutic solutions against pathogenic viruses like SARS-Cov-2 in which the mutation frequencies are high, the technologies which enables to predict possible mutations before the spread of pathogenic variants with said mutations is required. In SARS-Cov-2, a trend in mutations was found by the analysis of various genomes from variants reported so far (reference 1), suggesting that this may be useful to identify possible mutation sites. 　This invention disclose the methods and programs to predict the site and the mutations therein in virus genome in the future by AI-based model developed by using above trend for leaning.

  • others

Added to bookmarks

Bookmarks list

Bookmark has been removed

Bookmarks list

You can't add any more bookmarks

By registering as a member, you can increase the number of bookmarks you can save and organize them with labels.

Free membership registration
Tohoku Univ. Technology : Treatment programs for people with bipolar disorder: T24-089

Tohoku Univ. Technology : Treatment programs for people with bipolar disorder: T24-089

Predicts manic or depressive states and assists to prevent relapses

In the treatment of bipolar disorder, which is characterized by recurrent manic and depressive episodes, it is essential for the affected person to be aware of the ups and downs of their mood and to maintain their regular lifestyle. Monitoring mood states by patients and clinicians is essential for preventing and timely intervention of relapses. However, differentiating mild hypomanic episodes from normal mood variations remains challenging for both patients and clinicians. Especially recognition of hypomanic status is difficult for patients. In addition, clinicians see outpatients once a couple of weeks or months in regular clinical settings and, therefore, may potentially look over patients’ mood swings during the intervals. This invention is a program consisting of machine learning algorithms integrated into a smartphone application for evaluating the affected person's current mood and mood within a few weeks based on objective information, such as body motion, heart rate variability, and voice collected through a wearable device and the application. The present invention enables accurate evaluation and prediction of the mood while reducing the burden on the affected person. It enables the maintenance of appropriate treatment of bipolar disorder and the prevention of relapses. Since this patent has not been disclosed, disclosure of the specification will be possible after the conclusion of the intellectual property agreement.

  • others

Added to bookmarks

Bookmarks list

Bookmark has been removed

Bookmarks list

You can't add any more bookmarks

By registering as a member, you can increase the number of bookmarks you can save and organize them with labels.

Free membership registration

Related Categories of Prediction Program

COPYRIGHT © 2001-2026 IPROS CORPORATION ALL RIGHTS RESERVED.