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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

PharmaPendium serves as a robust platform that grants users access to a wide array of FDA and EMA drug approval documents, encompassing essential aspects like pharmacokinetics, pharmacodynamics, and safety evaluations. This resource delivers in-depth insights into drug-drug interactions, side effects, and outcomes from clinical studies, thereby empowering stakeholders to make well-informed decisions during the drug development process and when making regulatory submissions. Its rich database aids researchers and healthcare practitioners in assessing both the efficacy and safety of medications, playing a pivotal role in the progression of pharmaceutical research and enhancing patient care. Users can explore historical regulatory submissions and leverage past precedents to better understand and anticipate agency requirements. The interface allows for a seamless transition from tabular data to dynamic charts, graphs, and other visual tools, making it easier to analyze and interpret findings. Additionally, users can search for information related to adverse events (MedDRA), therapeutic targets, drug indications, and endpoints utilizing standardized data. Result pages effectively connect preclinical research with clinical applications, facilitating a comprehensive understanding of the drug development landscape. Overall, this platform not only streamlines the research process but also fosters collaboration and knowledge-sharing among industry professionals.

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 Yes 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs No 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person Yes 

Vendor Details

Company Name

AarogyaAI

Country

India

Website

aarogya.ai/

Vendor Details

Company Name

Elsevier

Founded

1880

Country

Netherlands

Website

www.elsevier.com/products/pharmapendium

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