New multiplexed imaging technology using standard clinical MRI systems can simultaneously map more than 20 biomarkers in high resolution, providing a comprehensive view of the brain with a single scan.
Researchers demonstrated the multiplexed MRI technology, or MRx, by characterizing brain tumors and multiple sclerosis lesions — revealing different structural, physiological and molecular changes within the diseases. The team reported its findings in the journal Nature.
“MRx can be a powerful tool for noninvasive tissue characterization, helping to advance personalized, precision and predictive medicine,” the author said. “By providing rich, multidimensional biomarkers to capture disease progression and treatment response, this capability could open new opportunities for more precise diagnosis, individualized treatment planning and improved patient outcomes.”
In recent years, the development of new immunotherapy strategies has been a significant breakthrough in cancer treatment. Among these, engineered T cell therapy with chimeric antigen receptors (CAR-T) has produced notable clinical results, especially in hematological malignancies. This success has sparked growing interest in extending the application of CAR-Ts to solid tumors, including gliomas. Gliomas—in particular, glioblastoma multiforme (GBM)—are among the most aggressive primary brain tumors, associated with a poor prognosis and a median survival of approximately one year after diagnosis. However, the translation of CAR-T therapy to gliomas presents significant challenges, related to factors such as tumor heterogeneity, presence of the blood–brain barrier (BBB), and a strongly immunosuppressive tumor environment.
Alzheimer’s disease (AD), the leading cause of global dementia, is a multifactorial process that goes beyond the accumulation of β-amyloid (Aβ) plaques and tau protein tangles, including glia cell-mediated neuroinflammation, vascular dysfunction, metabolic alterations, and synaptic loss. Its complex etiology also involves oxidative stress and mitochondrial dysfunction. Multiple neurotransmitter systems involved in the pathogenesis and the various cognitive and non-cognitive symptoms of AD are thus altered. The cholinergic system, historically the first to be associated with AD, suffers early degeneration and loss of neurons/receptors, correlating with cognitive impairment. The glutamatergic system, the main excitatory system, exhibits excitotoxicity due to increased extracellular glutamate and alterations in NMDA/AMPA receptor distribution, exacerbating neuronal damage.
Embodied Neurocomputation: A Framework for Interfacing Biological Neural. Cultures with Scaled Task-Driven Validation. https://arxiv.org/html/2605.13315v1 Computing with Living Neurons: Chaos-Controlled Reservoir Computing with Knowledge Transplant. https://ui.adsabs.harvard.edu/abs/202…
Researchers have shown for the first time that malfunctioning mitochondria — the cell’s energy generators — may directly cause cognitive decline in neurodegenerative diseases. By creating a new tool that temporarily boosts mitochondrial activity in the brain, scientists restored memory performance in mouse models of dementia. The discovery hints that energy failure inside neurons could happen before brain cells die, potentially offering a new target for future Alzheimer’s treatments.
Researchers at King’s College London have identified the biological nature and timing of changes in human cortical neurons caused by altering activity of a schizophrenia-associated gene in developing human neurons. This discovery links a genetic risk factor to cellular changes in neurons; an essential step for understanding the neurobiology of this mental illness and developing future treatments.
Schizophrenia is estimated to be one of the most heritable psychiatric conditions, with a strong developmental aspect. Large-scale human genomic studies have identified many genetic variants which are thought to increase the likelihood of schizophrenia.
However, the link between these genetic risk variants and the underlying neurobiology of schizophrenia is less well understood. Addressing this knowledge gap provides vital information that could ultimately help develop therapies for the disorder.
Quantum computers get a lot of attention, even though they are not ready for prime time, but quantum sensors are already doing useful work. These sensors measure fields, forces and motion so small that ordinary background noise can drown them out. Some sensors are already in daily use, while others are moving from research labs into flight tests, hospitals and field instruments.
For example, a human brain produces magnetic signals in the femtotesla-to-picotesla range—billions of times weaker than a refrigerator magnet—far weaker than the magnetic noise in an ordinary room. That is why brain scanners that measure these signals need ultrasensitive detectors and strong magnetic shielding. In some hospitals, these detectors use quantum technology to help map brain activity before epilepsy surgery, without touching the brain.
Quantum sensors are showing up in other fields as well, including in navigation when GPS signals are jammed or spoofed, mapping gravity to reveal what’s underground, and boosting astronomers’ ability to measure gravitational waves. I am a photonics and quantum technologies researcher. My lab applies physics to develop a range of devices, including quantum sensors.
Lisa Feldman Barrett, Michael Levin and Adam Frank discuss whether science should abandon its materialist framework.
Could a different metaphysics help science to progress further?
With a free trial, you can watch the full debate NOW at https://iai.tv/video/science-beyond-t… centuries, we’ve assumed that science has banished the transcendent and established that reality is entirely physical. But critics argue there are signs that a rigorous materialism might be holding science back. Increasingly, “emergence” is used to account for everything from consciousness to spacetime – a convenient placeholder for what materialist science may be unable to explain. Physicists like Heisenberg and Hawking concluded that science gives us models of reality, rather than final descriptions of its true nature, while there are scientists working in everything from biology to computer science who suggest that dualism is a productive metaphysical framework for their research. Materialism may have enabled science to reach beyond the dogmas of religion, but there are now those who are restlessly probing the limits of materialism itself. Does science need to assume a materialist account of the world or might this have fundamental limitations? Could a different metaphysics help science make progress on key questions, from the origin of life to the mysteries of quantum gravity? Or would abandoning materialism risk returning us to the myths of superstition and religion? #science #materialism #metaphysics Lisa Feldman Barrett is among the most cited scientists in the world for her research on the psychology and neuroscience of emotions. Adam Frank is an astrophysicist who explores the origins of stars, civilizations and consciousness, and is a leading figure in astrobiology and the search for alien life. Michael Levin is a synthetic biologist whose pioneering work in regenerative biology involves building biological robots to probe the nature of life, intelligence and evolution. Güneş Taylor hosts. The Institute of Art and Ideas features videos and articles from cutting edge thinkers discussing the ideas that are shaping the world, from metaphysics to string theory, technology to democracy, aesthetics to genetics. Subscribe today! https://iai.tv/subscribe?utm_source=Y… 0:00 Intro 1:34 Science cannot reveal objective reality 5:28 — History shows that materialism is one of many philosophies of science 8:59 There are some mathematical facts which are discovered, not chosen 12:14 Does materialism prevent mythical and superstitious views of reality? 14:56 There is no 3rd person view of the universe 18:05 Is science truly reproducible? For debates and talks: https://iai.tv For articles: https://iai.tv/articles For courses: https://iai.tv/iai-academy/courses.
For centuries, we’ve assumed that science has banished the transcendent and established that reality is entirely physical. But critics argue there are signs that a rigorous materialism might be holding science back. Increasingly, “emergence” is used to account for everything from consciousness to spacetime – a convenient placeholder for what materialist science may be unable to explain. Physicists like Heisenberg and Hawking concluded that science gives us models of reality, rather than final descriptions of its true nature, while there are scientists working in everything from biology to computer science who suggest that dualism is a productive metaphysical framework for their research. Materialism may have enabled science to reach beyond the dogmas of religion, but there are now those who are restlessly probing the limits of materialism itself.
Does science need to assume a materialist account of the world or might this have fundamental limitations? Could a different metaphysics help science make progress on key questions, from the origin of life to the mysteries of quantum gravity? Or would abandoning materialism risk returning us to the myths of superstition and religion?
Aging human breast atlas reveals cancer susceptibility
The team used advanced imagining techniques to analyse breast tissue from more than 500 women aged 15 to 86 years old. The tissue included biopsies taken from women for non-cancer-related reasons.
Combining these images with details of the hormone receptors and immune cells present, as well as the tissue architecture, the researchers were able to map how breast tissue changes over time in unprecedented detail. Their findings point to reasons why breast cancer risk increases with age and why tumors in younger women differ biologically.
The author added: “Our map revealed that as women age, their breast tissue goes through major changes, with the most dramatic changes occurring at menopause. There are changes, too, during their twenties, possibly linked to pregnancy and childbirth, but these are far less pronounced.”
The map revealed that all types of cells become fewer in number and divide far less often. Milk-producing structures known as lobules shrink or disappear, while the ducts that that carry milk become relatively more common, with the supporting layer around them becoming thicker. Fat cells increase while blood vessels decrease.
Meanwhile, changes occur in the immune environment. Younger breasts have more B cells and active T cells, which helps them identify and kill cancer cells. As tissue ages, these types of cells decline in number, replaced by other types of immune cell that indicate a more inflammatory and potentially less protective immune environment. ScienceMission sciencenewshighlights.
