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A drug-resistant type of bacteria that has adapted to health care settings evolved in the past several years to weaponize an antimicrobial genetic tool, eliminating its cousins and replacing them as the dominant strain. University of Pittsburgh School of Medicine scientists made the discovery when combing through local hospital data—and then confirmed that it was a global phenomenon.

The finding, published in Nature Microbiology, may be the impetus for new approaches in developing therapeutics against some of the world’s deadliest . It also validates a new use for a system developed at Pitt and UPMC that couples genomic sequencing with computer algorithms to rapidly detect infectious disease outbreaks.

“Our lab has a front row seat to the parade of pathogens that move through the ,” said senior author Daria Van Tyne, Ph.D., associate professor of medicine in Pitt’s Division of Infectious Diseases. “And when we took a step back and zoomed out, it quickly became apparent that big changes were afoot with one of the world’s more difficult-to-treat bacteria.”

Increasing energy demands and problems associated with burning fossil fuels have heightened interest in more sustainable energy sources, such as sunlight. But there are still areas where carbon-based fuel remains the standard, such as in the aviation industry. To address this need, scientists have been working to devise a way to use sunlight to generate solar-thermal heating that could then drive the chemical reactions that are needed to make jet fuel with net-zero carbon emissions.

Now, a team at Caltech that is part of a Department of Energy (DOE) Energy Innovation Hub known as the Liquid Sunlight Alliance, or LiSA, has developed such a solar-thermal heating system on a small scale and demonstrated that it can successfully drive an important reaction for jet fuel production.

Completely powered by solar energy, the so-called photothermocatalytic reactor incorporates a spectrally selective solar absorber to maximize the generation of solar-thermal heating. The modular design of the reactor takes advantage of current fabrication technologies and existing silicon solar panel production infrastructure.

Artificial Intelligence (AI) has made significant strides in recent years, transforming various aspects of our lives. From self-driving cars to personalized recommendations on streaming platforms, AI has become an integral part of our daily existence. However, the fear that AI will replace humans entirely is unfounded. Instead, a more nuanced perspective emerges: AI will augment human capabilities, leading to the emergence of “AI-powered humans.”

Where can you find lasers, electric guitars, and racks full of novel batteries, all in the same giant room? This week, the answer was the 2025 ARPA-E Energy Innovation Summit just outside Washington, DC.

Energy innovation can take many forms, and the variety in energy research was on display at the summit. ARPA-E, part of the US Department of Energy, provides funding for high-risk, high-reward research projects. The summit gathers projects the agency has funded, along with investors, policymakers, and journalists.

Hundreds of projects were exhibited in a massive hall during the conference, featuring demonstrations and research results. Here are four of the most interesting innovations MIT Technology Review spotted on site.


From laser steel to fuel made from rocks, we look inside the 2025 ARPA-E energy technology conference.

Artificial intelligence in various forms has been used in medicine for decades — but not like this. Experts predict that the adoption of large language models will reshape medicine. Some compare the potential impact with the decoding of the human genome, even the rise of the internet. The impact is expected to show up in doctor-patient interactions, physicians’ paperwork load, hospital and physician practice administration, medical research, and medical education.

Most of these effects are likely to be positive, increasing efficiency, reducing mistakes, easing the nationwide crunch in primary care, bringing data to bear more fully on decision-making, reducing administrative burdens, and creating space for longer, deeper person-to-person interactions.