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features
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support

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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

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 

Screenshots View All

Screenshots View All

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 

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