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Average Ratings 0 Ratings
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
An online software solution that employs Quality Risk Management to systematically organize, evaluate, and link Quality data directly to the particular risks associated with patients and pharmaceutical products. Why Choose Us? CINCO is a risk-oriented quality management platform tailored for the Life Sciences sector, offering a paperless method of tracking every critical quality component of a drug or medical device, thus facilitating informed quality decisions at all times. The Importance of Risk Management: Quality Risk Management is a systematic approach that ensures the identification and mitigation of potential risks throughout the manufacturing processes of drugs and medical devices, a method now mandated by most regulatory bodies. Despite its necessity, the traditional paper-based systems prevalent in the Life Sciences Industry fail to effectively handle the wealth of crucial risk information, leading to errors, excessive user friction, and ultimately diminishing operational value. Accessing essential product quality information on demand is vital for enhancing decision-making processes and ensuring safety. By transitioning to a digital system, organizations can streamline their risk management practices and improve overall product integrity.
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
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
AarogyaAI
Country
India
Website
aarogya.ai/
Vendor Details
Company Name
Cinco
Country
Puerto Rico
Website
www.meetcinco.com
Product Features
Product Features
Risk Management
Alerts/Notifications
Auditing
Business Process Control
Compliance Management
Corrective Actions (CAPA)
Dashboard
Exceptions Management
IT Risk Management
Internal Controls Management
Legal Risk Management
Mobile Access
Operational Risk Management
Predictive Analytics
Reputation Risk Management
Response Management
Risk Assessment