Lifeboat Foundation: Safeguarding Humanity
Toggle light / dark theme

Blog

Get the latest international news and world events from around the world.

Log in for authorized contributors

‘Google Maps’ approach provides cell-by-cell tumor mapping for more personalized lung cancer treatment

Researchers have developed a way to predict how lung cancer cells will respond to different therapies, allowing people with the most common form of lung cancer to receive more effective individualized treatment.

The research, published Oct. 10 in Nature Genetics, was led by Thazin Aung, Ph.D., in the laboratory of Yale School of Medicine’s David Rimm, MD, Ph.D., in collaboration with scientists at the Frazer Institute at the University of Queensland. Researchers studied the tumors of 234 patients with (NSCLC) across three cohorts in Australia, the United States, and Europe.

“Using AI and spatial biology, we mapped NSCLC, cell-by-cell, to understand and predict its response to ,” Aung says. “This ‘Google Maps’ approach can pinpoint areas within tumors that are both responsive and resistant to therapies, which will be a gamechanger for lung cancer treatment. Rather than having to use a trial-and-error approach, oncologists will now know which treatments are most likely to work with new precision medicine tools.”

China’s AI Hospital with 14 Robotic Doctors — The Future of Medicine!

In a monumental leap for healthcare innovation, China has opened the world’s first fully AI-powered hospital, staffed by 14 artificial intelligence “doctors” capable of diagnosing, treating, and managing up to 10,000 virtual patients per day.

This revolutionary facility, developed by Tsinghua University, is called the Smart Hospital of the Future — and it may represent the most advanced experiment in AI-driven medicine the world has ever seen.

Designed as a testbed for AI medical systems, the hospital blends robotics, machine learning, natural language processing, and big data analytics to simulate full-spectrum care at lightning speed — with zero fatigue, no paperwork errors, and real-time updates from global medical databases.

USC engineers just made light smarter with “optical thermodynamics”

USC engineers have developed an optical system that routes light autonomously using thermodynamic principles. Rather than relying on switches, light organizes itself much like particles in a gas reaching equilibrium. The discovery could simplify and speed up optical communications and computing. It reimagines chaotic optical behavior as a tool for design rather than a limitation.

Bandages Made From Living Fungi Could Be The Future of Wound Healing

Fungi are best known for returning dead, organic matter to the Earth, but materials scientists are exploring whether they could someday help our bodies repair, in the form of special hydrogels.

To play a role in biomedical settings, a hydrogel needs a multilayered structure like our own skin, cartilage and muscles. While some engineers are working on synthetic versions that mimic biology, University of Utah scientists have found a hydrogel that literally has a life of its own.

Marquandomyces marquandii is a common species of soil mold, and a promising candidate for the job. This fungus has had a bit of an identity crisis, being misclassified as Paecilomyces marquandii until it was reassigned to its own genus in 2020. Soon, it may be able to add the role of ‘bio-integrated hydrogel’ to its resume.

Scientists Discover Stem Cells That Could Regenerate Teeth and Bone

Researchers at Science Tokyo have identified two separate stem cell lineages responsible for forming tooth roots and the alveolar bone that anchors teeth in the jaw.

By using genetically modified mice and lineage-tracing methods, the team uncovered how specific signaling pathways direct stem cells to specialize during tooth development. Their findings provide valuable insight that could help advance the field of regenerative dentistry in the future.

Old tricks, new tech: Scams in the age of AI

As a college student, Gabriel Aguilar fell victim to an elaborate scam. The fraudsters posed as employers offering job opportunities that provided quick income.

He completed what seemed like a legitimate interview process, was offered a position and was even sent a check to purchase a laptop—which included a note from the perpetrators to send them the change. The was to unfold with the check bouncing and Dr. Aguilar being out his own money. Thankfully, his bank flagged the check because of typos and errors.

Aguilar, now an assistant professor of technical writing and professional communication in The University of Texas at Arlington’s Department of English, examines how today’s scammers are employing artificial intelligence (AI) to help con the public—in particular, the Latino population, which is often targeted.

Next-generation memory: Tungsten-based SOT-MRAM achieves nanosecond switching and low-power data storage

The ability to reliably switch the direction of magnetic alignment in materials, a process known as magnetization switching, is known to be central to the functioning of most memory devices. One known strategy to achieve entails the creation of a rotational force (i.e., torque) on electron spins via an electric current; a physical effect known as spin-orbit torque (SOT).

Information storage devices that rely on this effect are called spin-orbit torque magnetic random-access memories (SOT-MRAMs). These memory systems have been found to have various notable advantages, such as the ability to retain data even when their is turned off, fast switching compared to other various existing memory solutions and .

Researchers at National Yang Ming Chiao Tung University, the Taiwan Semiconductor Manufacturing Company, the Industrial Technology Research Institute and other institutes recently developed a new SOT-MRAM based on that contain the heavy metal tungsten, which is known for its strong spin-orbit coupling. Their memory device, introduced in a paper published in Nature Electronics, could be fabricated via existing processes for the large-scale production of semiconductors.

/* */