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Description

Behavioral health constitutes a crucial yet frequently neglected component of overall wellness. The impact of mental and substance use disorders affects an astonishing 970 million individuals globally, contributing to an economic burden exceeding US $1 trillion each year. In spite of this escalating crisis, advancements in treatment and understanding have not kept pace with other medical fields. Alarmingly, less than half of those suffering from major depression, which is the most prevalent mental health disorder, achieve remission with existing therapies. Increased awareness has sparked a greater demand for services in a system that remains ill-equipped to address the extensive complexities of this need. There exists a significant evidence gap that hinders progress in research and innovation, largely due to the inherent challenges within behavioral health, such as intricate disease causes, a shortage of measurable biomarkers, and fragmented institutional approaches. Even after many years of dedicated research, we remain largely in the dark about how to effectively treat most behavioral health conditions, indicating a critical need for renewed focus and resources in this field. Ultimately, bridging this gap is essential for improving the lives of millions affected by these disorders.

Description

By leveraging visual analytics through TIBCO Spotfire®, PerkinElmer Signals Translational offers a comprehensive suite of tools designed to harmonize, manage, search, aggregate, and analyze extensive datasets consistently for translational research, all while ensuring scalability. This platform, driven by TIBCO Spotfire®, supports precision medicine initiatives by providing an unparalleled solution for biomarker discovery and patient stratification. The Linear Mixed Effect App (LME) within Signals Translational empowers researchers to evaluate the influence of various factors on specific phenotypes, allowing for adjustments related to random variables during analysis. Furthermore, it enables the identification of genes significantly affecting cancer stage progression, irrespective of patient origins. Notably, the LME models excel at addressing issues such as missing values and outliers, making them a robust choice for discovering potential biomarkers. Consequently, the integration of these advanced analytics tools enhances the efficacy of translational research in identifying key biomarkers that can lead to more personalized treatment approaches.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Signals Research Suite

Integrations

Signals Research Suite

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Holmusk

Founded

2015

Country

Singapore

Website

www.neuroblu.ai/

Vendor Details

Company Name

PerkinElmer

Founded

1937

Country

United States

Website

perkinelmerinformatics.com/products/clinical-translational/signals-translational/

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