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Organization Contact Information | |
| Name: | Artificial Learning Systems India Private Limited |
| Street 1: | 1665 A, 2nd Floor, 14th Main, Sector 7, HSR Layout, |
| Street 2: | |
| City: | Bangalore |
| Province: | |
| Post Code: | |
| Country: | India |
| Phone: | (080) 50507867 |
| Organization Email: | kraji@artelus.com |
| Web Site: | http://www.artelus.com |
| Other Online Presence: | https://www.linkedin.com/company/artificiallearningsystems/?viewAsMember=true |
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General Information | |
| Board Constituency: | None |
| Is your organization legally registered in your country: | Yes |
| If yes, please enter your registration number: | U72900KA2016PTC095457 |
| Organization Type - Primary: | Private Sector |
| Organization Type - Secondary: | Health |
| Organization Description: | |
| Our mission is to screen a million people for disease such as Tuberculosis, pneumonia, age related eye diseases using Artificial Intelligence. | |
| Do you know about the UNHLM declaration: | No |
Specializations / Areas of Work | |
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Delivery of health services and care Provision of drugs, diagnostics and commodities Research and Development |
Other Organization Information | |
| Total number of staff in your organization: | 11 - 25 |
| Number of full-time staff who are directly involved with TB: | 1 - 5 |
| Number of part-time staff who are directly involved with TB: | 1 - 5 |
| Number of volunteers who are directly involved with TB: | 1 - 5 |
| How did you hear about the Stop TB Partnership: | Attendance at a TB related event |
| If you were informed or referred by another partner of the Stop TB Partnership please tell us who: | Jacqueline S Huh |
| Why do you wish join the Stop TB Partnership: | Involvement in Stop TB Working Groups |
| Are you a member of a Stop TB national partnership: | No |
| Are you in contact with your national TB programme: | No |
| Please tell us how your organization is contributing to your country's national TB control plan: | |
| By using Artificial Intelligence,to significantly expedite the TB diagnosis process by Developing novel image processing and machine learning Techniques to analyze chest X-ray images |
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Geographical Reach | |
| Which country is your headquarters located in: | India |
| Which countries do you do operate in: (This includes countries you are conducting activities in) |
India |
Contribution | |
| Please tell us how your organization will contribute to the Global Plan to Stop TB by briefly describing its involvement in any of the areas of work listed below: | |
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New Diagnostics: Specifically, we aim to design a user-centered, mobile device-based computing system to significantly expedite the TB diagnosis process by Developing novel image processing and machine learning Techniques to analyze chest X-ray images. Once a candidate is suspected of having TB during the xray examination, a MODS test will be administered, and if positive, appropriate medication will be started, and appropriate treatment pathway and protocol will be followed. Research: Specifically, we aim to design a user-centered, mobile device-based computing system to significantly expedite the TB diagnosis process by Developing novel image processing and machine learning Techniques to analyze chest X-ray images. Once a candidate is suspected of having TB during the xray examination, a MODS test will be administered, and if positive, appropriate medication will be started, and appropriate treatment pathway and protocol will be followed. |
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Declaration | |
| Declaration of interests: No conflicts of interest were delacred. | |
| Application date: | January 28, 2019 |
| Last updated: | April 24, 2024 |