PHOENIX — Mayo Clinic announces the results of an innovative treatment approach that may offer improvement in overall survival in older patients with newly diagnosed glioblastoma while maintaining quality of life. Glioblastoma is the most lethal type of primary brain cancer due to its aggressive nature and its treatment-resistant characteristics. It is the most common form of primary brain cancer. Each year an estimated 14,500 people in the U.S. are diagnosed with the disease. Results of Mayo Clinic’s phase 2, single-arm study are published in The Lancet Oncology.

Sujay Vora, M.D., radiation oncologist at Mayo Clinic, led a team of researchers investigating the use of short-course hypofractionated proton beam therapy incorporating advanced imaging techniques in patients over the age of 65 with newly diagnosed World Health Organization (WHO) grade 4, malignant glioblastoma.

Results showed that 56% of participants were alive after 12 months and the median overall survival was 13.1 months.” As compared to prior phase 3 studies in an older population having a median survival of only six to nine months, these results are promising,” says Dr. Vora. “In some cases, patients with tumors that have favorable genetics lived even longer, with a median survival of 22 months. We are very excited about these results.”

Jupiter’s moon Io is the most volcanically active body in our Solar System, with around 400 volcanoes and extensive lava flows spread across its surface – but contrary to what scientists thought, a new study suggests this geological chaos is not powered by a global, moonwide ocean of magma below the surface.

Using images snapped by NASA’s Juno spacecraft, gravitational measurements, and historical data about Io’s tidal deformations, an international team of researchers has determined that the moon’s volcanoes are powered by a scattering of magma chambers in an otherwise solid mantle.

The findings counter previous theories about how Io’s volcanoes are powered, and point to a mostly solid mantle for the moon. With magma oceans believed to be present on many worlds, especially early in their formation – including our own Moon – we may need to rethink how planets form and evolve.

DDW Editor Reece Armstrong speaks to Ellie Mahjubi, Vice President, Protein and cell analysis at Thermo Fisher Scientific, about how spatial biology is impacting drug discovery and development research.

RA: What’s the future and potential for spatial biology?

EM: Technological advancements in spatial biology are providing unprecedented insights into single cells within their spatial context, facilitating the analysis of cell types, functional states, cell interaction networks, as well as tissue microenvironments and architecture. These innovations promise to significantly advance basic research and enhance our understanding of human health and disease.

Researchers have used a chemical compound to light up treatment-resistant cancers on imaging scans, in a breakthrough that could help medical professionals better target and treat cancer.

The authors at King’s College London say that using the radiotracer—an injected compound used in PET scans—could help inform doctors that a patient’s aggressive cancer will not respond to chemotherapy before treatment is given. This would prevent patients receiving unnecessary treatment and provide them with alternative options that will give them the best chance of beating the disease.

The paper, “Imaging NRF2 activation in non-small cell lung cancer with positron emission tomography” published in Nature Communications, shows therapy-resistant non-small cell lung cancer tumors “lit up like a Christmas tree” on PET scans when the radiotracer was injected.

Chris McHenry is Vice President of Product Management at Aviatrix.

Enterprise reliance on cloud computing is no longer a question of “if” but “how much” and “how secure.” The cloud has become the backbone of modern business, enabling rapid scaling, seamless integration and global reach.

However, as cloud adoption matures, so do its associated costs—driven significantly by the rise of artificial intelligence (AI) and the escalating energy demands of data centers. For instance, OpenAI recently revealed plans to increase its prices by 120% over the next five years, even after securing an industry-record $6.6 billion in funding.

Engineers at Johns Hopkins University have developed a new printing technique that solves for the fundamental weakness between the layers created during 3D printing. New printing technique allows them to precisely control interfaces between voxels, the three-dimensional counterparts to pixels, and how they function.

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If you want to understand gravity, it makes sense to study black holes. Nowhere else can you find so much gravity so conveniently compacted into such a relatively small space.

In a way, in fact, black holes are nothing but gravity. As Einstein showed, gravity is just the warping of spacetime, and black holes are big spacetime sinks. All the matter falling in gets homogenized into nothingness, leaving behind nothing but warped spacetime geometry.

A review of syntheticapertureradar image formation algorithms and implementations: a computational perspective.

Helena Cruz et al.

Designing synthetic-aperture radar image formation systems can be challenging due to the numerous options of algorithms and devices that can be used. There are many SAR image formation algorithms, such as backprojection, matched-filter, polar format, Range–Doppler and chirp scaling algorithms. Each algorithm presents its own advantages and disadvantages considering efficiency and image quality; thus, we aim to introduce some of the most common SAR image formation algorithms and compare them based on these two aspects. Depending on the requisites of each individual system and implementation, there are many device options to choose from, for instance, FPGAs, GPUs, CPUs, many-core CPUs, and microcontrollers. We present a review of the state of the art of SAR imaging systems implementations.

The field of artificial intelligence (AI) has witnessed extraordinary advancements in recent years, ranging from natural language processing breakthroughs to the development of sophisticated robotics. Among these innovations, multi-agent systems (MAS) have emerged as a transformative approach for solving problems that single agents struggle to address. Multi-agent collaboration harnesses the power of interactions between autonomous entities, or “agents,” to achieve shared or individual objectives. In this article, we explore one specific and impactful technique within multi-agent collaboration: role-based collaboration enhanced by prompt engineering. This approach has proven particularly effective in practical applications, such as developing a software application.

Originally published on Towards AI.

One of the major challenges in using LLMs in business is that LLMs hallucinate. How can you entrust your clients to a chatbot that can go mad and tell them something inappropriate at any moment? Or how can you trust your corporate AI assistant if it makes things up randomly?

That’s a problem, especially given that an LLM can’t be fired or held accountable.