Opioids like morphine are widely used in medical practice due to their powerful pain-relieving effects, yet they carry the risk of serious adverse effects such as respiratory depression and drug dependence. For this reason, Japan has strict regulations in place to ensure that these medications are prescribed only by authorized physicians.

In the United States, the opioid OxyContin was once frequently prescribed, triggering a surge in the misuse of synthetic opioids such as fentanyl. As a result, the number of deaths caused by opioid overdose surpassed 80,000 in 2023, escalating into a national public health crisis now referred to as the “opioid crisis.”

Opioids may soon have a rival, however...

MIT physicists confirm that, like Superman, light has two identities that are impossible to see at once. Physicists at MIT recreated the double-slit experiment using individual photons and atoms held in laser light, uncovering the true limits of light’s wave–particle duality. Their results proved Einstein’s proposal wrong and confirmed a core prediction of quantum mechanics...

Researchers have discovered new insights into the reaction pathways of the first molecule in space. Long before stars lit up the sky, the universe was a hot, dense place where simple chemistry quietly set the stage for everything to come. Scientists have now recreated the first molecule ever to form, helium hydride, and discovered it played a much bigger role in the birth of stars than we thought. Using a special ultra-cold lab setup, they mimicked conditions from over 13 billion years ago and found that this ancient molecule helped cool the universe just enough for stars to ignite. Their findings could rewrite part of the story about how the cosmos evolved from darkness to light.

Immediately after the Big Bang, which occurred around 13...

A new artificial intelligence (AI) tool could make it much easier—and cheaper—for doctors and researchers to train medical imaging software, even when only a small number of patient scans are available.

The AI tool improves upon a process called medical image segmentation, where every pixel in an image is labeled based on what it represents—cancerous or normal tissue, for example. This process is often performed by a highly trained expert, and deep learning has shown promise in automating this labor-intensive task.

The big challenge is t...