Biggest News Aggregation in the World
📰 Amar Gupta News

Amar Gupta News Today

Fast, Ad-Free News Updates

Stay updated with breaking news from Amar Gupta. Real-time updates on events, politics, business and more.

Cross Border Healthcare Interoperability Analyses Published in Telehealth Journal

New research has been published in the July issue of Telehealth and Medicine Today (THMT). Multidisciplinary original research topics include cross border interoperability, patient satisfaction, physician empathy, and telehealth in skilled nursing facilities during the pandemic. The journal bridges research with the real world impact as telehealth services and experiments continue to expand access and better outcom
United States Francisx Campion Audrey Shin Bharath Perugu Aanchal Mathur Jin Kim

Cross Boarder Healthcare Interoperability Analyses Published in Telehealth Journal

New research has been published in the July issue of Telehealth and Medicine Today (THMT). Multidisciplinary original research topics include cross boarder interoperability, patient satisfaction, physician empathy, and telehealth in skilled nursing facilities during the pandemic. The journal bridges research with the real world impact as telehealth services and experiments continue to expand access and better outcomes for patients., , , , The 100% open access peer reviewed journal brings pra....
United States Audrey Shin Karena Truitt Jin Kim Bharath Perugu Ma Maluk Mohamed

Jaypee case: YEIDA mulls to challenge NCLT decision to reject its claims

YEIDA, which had entered into a Concession Agreement with Jaypee in February 2003, had filed claims for ₹6,111.59 crore, mainly on account of pending works and External Development Charges (EDCs), unexecuted external development works and other future works.
Amar Gupta Jaypee Infratech Suraksha Group Development Charges Edcs National Company Law Tribunal Committee Of Creditors Co

Stay Updated with Latest News

Get breaking news updates delivered to your inbox

Browse All News →

Fighting discrimination in mortgage lending

MIT researchers have developed a technique that removes multiple types of bias from a mortgage lending dataset, which improves the accuracy and fairness of machine learning models that are trained using those data. The researchers use their technique to create a fair loan classifier model that could be used by lenders to streamline decision-making.
United States Jashandeep Singh Amar Gupta Sariba Khan Artificial Intelligence Laboratory Floyd Buchanan High School
Source: mit.edu

Explore More Categories

World News India News Business Technology Sports Entertainment Health Science