Average Ratings 0 Ratings
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
No
API Access
Has API
No
Integrations
No details available.
Integrations
No details available.
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
No
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
No
In Person
No
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
No
Auditing
No
Business Process Control
No
Compliance Management
No
Corrective Actions (CAPA)
No
Dashboard
No
Exceptions Management
No
IT Risk Management
No
Internal Controls Management
No
Legal Risk Management
No
Mobile Access
No
Operational Risk Management
No
Predictive Analytics
No
Reputation Risk Management
No
Response Management
No
Risk Assessment
No