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The Model Context Protocol (MCP) is an open standard (open-sourced by Anthropic) that defines a unified way to connect AI assistants (LLMs) with external data sources and tools. Think of MCP as a USB-C port for AI applications – a universal interface that allows any AI assistant to plug into any compatible data source or service. By standardizing how context is provided to AI models, MCP breaks down data silos and enables seamless, context-rich interactions across diverse systems.

In practical terms, MCP enhances an AI assistant’s capabilities by giving it controlled access to up-to-date information and services beyond its built-in knowledge. Instead of operating with a fixed prompt or static training data, an MCP-enabled assistant can fetch real-time data, use private knowledge bases, or perform actions on external tools. This helps overcome limitations like the model’s knowledge cutoff and fixed context window. It is observed that simply “stuffing” all relevant text into an LLM’s prompt can hit context length limits, slow responses, and become costly. MCP’s on-demand retrieval of pertinent information keeps the AI’s context focused and fresh, allowing it to incorporate current data and update or modify external information when permitted.

Another way MCP improves AI integration is by unifying the development pattern. Before MCP, connecting an AI to external data often meant using bespoke integrations or framework-specific plugins. This fragmented approach forced developers to re-implement the same tool multiple times for different AI systems. MCP eliminates this redundancy by providing one standardized protocol. An MCP-compliant server (tool integration) can work with any MCP-compliant client (AI application). In short, MCP lets you “write once, use anywhere” when adding new data sources or capabilities to AI assistants. It brings consistent discovery and usage of tools and improved security. All these benefits make MCP a powerful foundation for building more capable and extensible AI assistant applications.

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Over the past few decades, breakthroughs in cancer biology at the molecular level have revolutionised cancer treatment. Enhanced precision in radiotherapy has not only reduced patient side-effects, but also enabled the delivery of high-dose stereotactic extracranial irradiation with unprecedented accuracy. Simultaneously, the number of medical therapies available for clinical care continues to grow. Despite the progress made with combined chemoradiotherapy, only a few drug–radiotherapy combinations have received clinical approval, leaving a vast landscape of untapped opportunities for basic, translational, and clinical research, particularly in early-phase drug–radiotherapy trials.

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Treatment with chimeric antigen receptor (CAR)-T cell therapies is associated with important immune-related adverse events. In this Review, the authors discuss the standard-of-care management for cytokine release and immune effector cell-associated neurotoxicity syndromes, and the potential of other T cell druggable targets as well as cellular engineering strategies to develop safer CAR-T cells.

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Whether extra dimensions prove to be physical realities or useful mathematical constructs, they have already transformed our understanding of the universe. They have forced us to reconsider fundamental assumptions about space, time, and the nature of physical law. And they remind us that reality may be far richer and more complex than our everyday experience suggests — that beyond the familiar dimensions of length, width, height, and time, there may exist entire realms waiting to be discovered and, perhaps one day, explored.

The theoretical physicist John Wheeler once remarked that “we live on an island of knowledge surrounded by an ocean of ignorance.” Our exploration of extra dimensions extends the shoreline of that island, pushing into uncharted waters with the tools of mathematics, experiment, and imagination. Though we may never set foot in the fifth dimension or beyond, the very act of reaching toward these hidden aspects of reality expands our perspective and deepens our understanding of the cosmos we call home.

As we continue this grand scientific adventure, we carry forward the legacy of those who first dared to imagine worlds beyond our immediate perception — from the mathematicians who developed the language of higher-dimensional geometry to the physicists who incorporated these concepts into our most fundamental theories. Their vision, coupled with rigorous analysis and experimental testing, illuminates a path toward an ever more complete understanding of the universe in all its dimensions.

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Big data has gotten too big. Now, a research team with statisticians from Cornell has developed a data representation method inspired by quantum mechanics that handles large data sets more efficiently than traditional methods by simplifying them and filtering out noise.

This method could spur innovation in data-rich but statistically intimidating fields, like and epigenetics, where traditional data methods have thus far proved insufficient.

The paper is published in the journal Scientific Reports.

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Continue reading “Dietary AGE Products Shorten Lifespan On A Calorie Restricted Diet” | >

Astronomers have found early evidence of the Universe’s transformation from a foggy, opaque state to a transparent one, thanks to a galaxy blazing with UV light nearly 13.6 billion years ago. The first galaxies in the Universe were born hidden within a thick “fog” of neutral gas, making them diff

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Follow-up research on a 2023 image of the Sagittarius C stellar nursery in the heart of our Milky Way galaxy, captured by NASA’s James Webb Space Telescope, has revealed ejections from still-forming protostars and insights into the impact of strong magnetic fields on interstellar gas and the life cycle of stars.

“A big question in the Central Molecular Zone of our galaxy has been, if there is so much dense gas and cosmic dust here, and we know that stars form in such clouds, why are so few stars born here?” said astrophysicist John Bally of the University of Colorado Boulder, one of the principal investigators. “Now, for the first time, we are seeing directly that strong magnetic fields may play an important role in suppressing star formation, even at small scales.”

Detailed study of stars in this crowded, dusty region has been limited, but Webb’s advanced near-infrared instruments have allowed astronomers to see through the clouds to study young stars like never before.

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