Tuesday, March 17, 2026

Kim Jong Un’s People-First Makeover? Skips Memorial to Open Thousands of New Homes

Kim Jong Un attended the completion ceremony for 10,000 housing units in Hwasong, emphasizing public welfare and modernization efforts.

North Korean Flights Spark Speculation of Kim Jong Un’s Beijing Visit

North Korea prepares for Kim Jong Un's visit to China ahead of the 80th Victory Day, with heightened security and embassy activities.

FAO Lists North Korea Among 45 Nations Desperately Needing Food Aid

The United Nations Food and Agriculture Organization...

Tag: study

Hemlibra Breakthrough: 91% of Hemophilia Patients in Japan Experience No Adverse Reactions!

JW Pharmaceutical's Hemlibra shows 91% safety in Japanese hemophilia patients, with no adverse reactions in long-term study.

New Study: Mounjaro Helps Users Drop Over 50 Pounds

Eli Lilly's Mounjaro leads U.S. obesity drug market, outperforming semaglutide in weight loss efficacy and safety.

AI’s Office Debut Goes Bust: Even the Best Bots Complete Just 25% of Tasks

AI shows potential as a workplace assistant but struggles with complex tasks, highlighting its limitations in replacing human workers.

Mindfulness Study Shows How Reversing Time Can Improve Health

A study shows that mindfulness can rejuvenate the mind and body, slowing the aging process and improving overall health.

Sip Your Way to Health: How 3 Cups of Coffee Can Save Your Life

The Theon R, a restored Porsche 964, boasts a 4.0L engine with 507 hp and weighs 1,000 kg. Priced near $1M, it rivals the new GT3 RS.

New Hope for Alcohol-Related Liver Disease: GLP-1 Drugs Show Promise

Research shows that GLP-1 receptor agonists, like Wegovy, may help combat alcohol-related liver disease, reducing liver cancer risk.

Skin Cancer Surges in South Korea: A 700% Rise Over 20 Years

Skin cancer, once relatively rare among South Koreans, has surged sevenfold over the past two decades. Here's what you need to know!

How AI is Changing the Game for Drug Makers!

This joint initiative aims to reduce the costs and time associated with new drug development using AI models based on federated learning.

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