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A New Era of Precision Neuromodulation in Psychiatry

Over the past century, advances in neuroimaging and cognitive neuroscience reshaped how we understand psychiatric disorders, expanding the portfolio of evidence-based treatments while routine clinical practice has mostly relied on trial and error. Precision medicine has steadily extended to psychiatry, and today we can target specific cortical or subcortical brain regions within defined pathological circuits to individualize treatments to particular symptoms. Neuromodulation sits at the frontier of this shift in psychiatry, with extensive ongoing research to identify optimal treatment targets and protocols personalized to individuals’ neural circuitry.

Neuromodulation using neuronavigation achieves precise clinical target identification through computer-assisted integration of multimodal brain imaging. Neuron avigated approaches have been central to deep brain stimulation (DBS) for decades. More recent advances in functional magnetic resonance imaging (fMRI) and diffusion tensor imaging (DTI) extended this framework from isolated gray matter nuclei toward pathological neural circuits through resting-state functional connectivity analysis and tractography, which enabled the identification of connectomic fingerprints associated with specific symptom clusters, or circuitopathies, a concept particularly relevant to psychiatric disorders, such as obsessive-compulsive disorder and depression.

New findings overturn 100-year-old assumption about common bacteria in the lungs

The human body is teeming with more than 35 trillion bacteria, coexisting in microbiomes inside the gut, mouth, lungs, skin and urogenital tract. While it’s now clear these microbes are associated with health and disease, scientists have only begun to uncover the full scale of their biology and functions.

In a striking example of just how much is still unknown, a new University of Michigan study overturns a 100-year-old assumption about one common bacterial resident of the lungs, Prevotella melaninogenica. The research is published in the Journal of Bacteriology.

The lab led by Ariangela Kozik, Ph.D., assistant professor of internal medicine at U-M Medical School and assistant professor of molecular, cellular and developmental biology at U-M, is interested in Prevotella because the bacteria are commonly found in the respiratory tract and reportedly associated with all manner of chronic conditions, yet are also found in healthy people. The genus is also widely thought to be an obligate anaerobe, incapable of surviving in the presence of oxygen.

Deep brain stimulation strengthens reward signals after one 20-minute session, study finds

A study from Emory University School of Medicine suggests that a single 20-minute session of noninvasive deep brain stimulation, paired with mindful breathing, may strengthen the brain’s response to reward and reduce anxiety. Changes in reward-related brain activity remained detectable for approximately one week after the session.

GPUaaS I Kolokacja GPU I Data Centers I Fabryka AI

Central europe is engineering the AI fortress of the future.

Barron’s reveals how Poland is rapidly positioning itself as Europe’s next digital powerhouse through massive American hyperscaler capital, aggressive government policy, and returning native engineering talent.

While Western Europe stagnates under heavy bureaucracy, Warsaw is quietly building a high-performance compute vault to anchor sovereign digital infrastructure across the continent.

Poland surpassed the 1 trillion dollar annual output milestone in 2025, taking 20th spot globally. World Bank reports project AI adoption could boost Polish GDP by up to 12.1 percent over the next decade.

U.S. giants are already all-in: Amazon committed over 5 billion dollars through 2028, Microsoft spent 1.7 billion on hyperscale cloud regions, and Google signed strategic government agreements to accelerate deployment. Local agency KRiBSI is committing over 106 million dollars to bid for one of the EU’s medium-scale AI gigafactories housing 75,000 accelerators.

Private infrastructure lead Beyond.pl is scaling Nvidia-powered hubs, while startups like ElevenLabs, Nomagic, and Synerise head toward massive global markets.

The Sovereign Compute Pivot.

Continue reading “GPUaaS I Kolokacja GPU I Data Centers I Fabryka AI” | >

Cell sizedependent mRNA transcription drives proteome remodeling

You et al. show that size-dependent proteomic remodeling originates at the transcriptomic level. Protein and mRNA turnover contribute minimally to the proteomes of large cells, implicating transcription as the primary driver of size-dependent gene expression. Moreover, mRNA synthesis scales with size through a proportional increase in burst length.

3Dprinted devices could streamline the production of drugdelivery microparticles

MIT researchers have demonstrated a low-cost design of specialized electronic nozzles, called triaxial electrospray emitters, that could be used to manufacture time-release drug-delivery particles or self-healing materials efficiently and at scale.

Triaxial electrospray emitters use electricity to precisely dispense three liquids from microscopic nozzles to generate a steady stream with three distinct fluid layers. The liquid forms multilayered droplets, which can solidify into layered microparticles.

For instance, an array of triaxial electrospray emitters can be used to make three-layer drug-delivery nanoparticles. The outer layer might slowly erode in the stomach, revealing a second material that controls the release of a core material, which delivers medicine to a specific area of the intestines.

Decoding the History Recorded in Lunar Soil

A model that captures how crater-forming impacts redistribute lunar dirt will help researchers read the cosmic timeline found in samples returned from the Moon.

The Moon’s soil preserves signatures of the solar wind, cosmic rays, and episodic stellar events, but frequent meteorite strikes scramble what would otherwise be a neatly layered record of cosmic history. Researchers have now developed a mathematical model that accounts for this scrambling effect in lunar soil [1]. The model can predict the depths and concentrations of radioactive isotopes originating from astrophysical events hundreds of light-years away. It provides a guide for future lunar sampling missions that will search for evidence of specific events in our Solar System’s history.

Samples returned from the Apollo missions suggest that irradiation and the solar wind alter the lunar surface soil’s chemistry and physical appearance as it ages. In addition, nearby supernovae emit radioactive isotopes, including short-lived ones such as iron-60. Meanwhile, meteorite impacts mix all this surface material and gradually transport it deep into the soil or upward from below in a process known as impact gardening. But models of this transport often fail to capture key features observed in the Apollo samples. For example, analysis of core samples (long, vertical cylinders of soil) suggest that, in some cases, the concentrations of certain isotopes have much steeper depth dependence than models predict.

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