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Description
AarogyaAI is a software-as-a-service platform that utilizes artificial intelligence to identify drug-resistant tuberculosis (DR-TB) within hours. Our goal is to provide rapid and precise diagnoses of DR-TB, ensuring that patients receive the most effective drug combinations for their treatment without delay. Tuberculosis is responsible for more fatalities annually than AIDS, largely because the 19 available anti-TB medications do not work for all patients, leading to uncertainty among doctors regarding the appropriate treatment options. Consequently, even though tuberculosis is treatable, a delayed diagnosis of drug-resistant forms can result in patients remaining on ineffective medications for as long as seven years. By diagnosing drug-resistant tuberculosis swiftly, we enable prompt and appropriate treatment prescriptions. Patients upload a DNA sequence to our platform, and our advanced machine learning algorithm processes this data to generate a detailed report on drug susceptibility status, allowing healthcare providers to make informed decisions about treatment. This innovative approach not only enhances patient outcomes but also aims to reduce the overall burden of tuberculosis on healthcare systems.
Description
A standardized procedure for the management of investigational agents is essential to enhance patient safety while ensuring adherence to regulatory requirements. This process includes implementing safeguards to avoid the selection of expired or quarantined agents during dispensing, thereby reducing the chance of providing medication to patients not participating in a study. It is crucial to meticulously capture all dispensing details and document them in the Drug Accountability Record Form (DARF). Additionally, measures should be taken to prevent the distribution of drugs that may expire within the treatment period by thoroughly assessing the dispense date, available supply, and expiration date. Tracking details such as drug thaw time, reconstitution time, and temperature readings at the time of reconstitution is also vital. The centralized electronic management of investigational agents enhances clarity, minimizes paperwork and handwriting errors, and simplifies inventory management, allowing pharmacists to dedicate more time to critical tasks and patient care. Furthermore, while DARFs can be tailored using various filters, they still maintain a uniform appearance across all protocols, regardless of the sponsor involved, ensuring consistency and ease of use for all parties. This comprehensive approach to managing investigational agents ultimately contributes to a safer and more efficient clinical trial environment.
API Access
Has API
API Access
Has API
Integrations
No details available.
Integrations
No details available.
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
$17,000 per year
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
AarogyaAI
Country
India
Website
aarogya.ai/
Vendor Details
Company Name
Ddots
Website
www.ddots.com/idea/
