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Next-generation immune profiling — beyond blood cancer cells

Why immunoscores work in solid tumors—but not yet in blood cancers👇

✅In solid tumors, immune profiling has reached a high level of standardization. Clear tumor boundaries allow quantification of immune cell infiltration, particularly CD3⁺ and CD8⁺ T cells, using immunohistochemistry. This has led to the development of validated immunoscores that stratify tumors as “hot,” “cold,” or “very cold,” providing robust prognostic and predictive value for immunotherapy response.

✅These immunoscores work because solid tumors are spatially organized. Immune cells can be classified as infiltrating or excluded, and their density within defined tumor regions directly correlates with clinical outcome. As a result, immune cell infiltration has become a reliable biomarker to guide treatment decisions in cancers such as colon carcinoma.

✅In contrast, hematologic malignancies lack these defining features. Leukemias and lymphomas are systemic diseases without clear tumor borders, making spatial immune assessment fundamentally challenging. Malignant and nonmalignant immune cells coexist within the same compartments, blurring the distinction between tumor cells and the immune microenvironment.

✅Current immune profiling in hematologic cancers relies on baseline physiological levels of circulating or tissue-resident immune cells, including monocytes, neutrophils, T cells, NK cells, and B cells. While techniques such as flow cytometry, histology, and bulk or single-cell RNA sequencing provide rich datasets, they do not yet translate into a unified, clinically actionable immune score.

✅This lack of standardization creates uncertainty in predicting immunotherapy responses. Metrics such as inflammation, cytotoxicity, or immune infiltration are difficult to interpret consistently across patients and disease subtypes, especially given systemic involvement and tissue-specific immune contexts.

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The Scientist Behind Moderna on How Engineering Revolutionizes Medicine

What does it take to turn bold ideas into life-saving medicine?

In this episode of The Big Question, we sit down with @MIT’s Dr. Robert Langer, one of the founding figures of bioengineering and among the most cited scientists in the world, to explore how engineering has reshaped modern healthcare. From early failures and rejected grants to breakthroughs that changed medicine, Langer reflects on a career built around persistence and problem-solving. His work helped lay the foundation for technologies that deliver large biological molecules, like proteins and RNA, into the body, a challenge once thought impossible. Those advances now underpin everything from targeted cancer therapies to the mRNA vaccines that transformed the COVID-19 response.

The conversation looks forward as well as back, diving into the future of medicine through engineered solutions such as artificial skin for burn victims, FDA-approved synthetic blood vessels, and organs-on-chips that mimic human biology to speed up drug testing while reducing reliance on animal models. Langer explains how nanoparticles safely carry genetic instructions into cells, how mRNA vaccines train the immune system without altering DNA, and why engineering delivery, getting the right treatment to the right place in the body, remains one of medicine’s biggest challenges. From personalized cancer vaccines to tissue engineering and rapid drug development, this episode reveals how science, persistence, and engineering come together to push the boundaries of what medicine can do next.

#Science #Medicine #Biotech #Health #LifeSciences.

Chapters:
00:00 Engineering the Future of Medicine.
01:55 Failure, Persistence, and Scientific Breakthroughs.
05:30 From Chemical Engineering to Patient Care.
08:40 Solving the Drug Delivery Problem.
11:20 Delivering Proteins, RNA, and DNA
14:10 The Origins of mRNA Technology.
17:30 How mRNA Vaccines Work.
20:40 Speed and Scale in Vaccine Development.
23:30 What mRNA Makes Possible Next.
26:10 Trust, Misinformation, and Vaccine Science.
28:50 Engineering Tissues and Organs.
31:20 Artificial Skin and Synthetic Blood Vessels.
33:40 Organs on Chips and Drug Testing.
36:10 Why Science Always Moves Forward.

The Big Question with the Museum of Science:

Biodegradable PCB targets short-lifetime electronics

Researchers at the University of Glasgow have developed an almost entirely biodegradable PCB using zinc conductors and bio-derived substrate materials. The work aims to reduce the environmental impact of electronic waste by replacing conventional copper-based PCBs in applications designed for short operational lifetimes.

For eeNews Europe readers, the research is relevant as it explores alternative PCB materials and manufacturing methods that could be applied to disposable and low-duty-cycle electronics, including sensing and IoT-related devices.

The approach differs from conventional PCB fabrication, which typically involves etching copper from a full sheet. Instead, the researchers use what they describe as a growth and transfer additive manufacturing process, depositing conductive material only where tracks are required. According to the team, this reduces metal usage and avoids the use of harsh chemical etchants.

DIVE multi-agent workflow streamlines hydrogen storage materials discovery

Developing new materials can involve a dizzying amount of trial and error for different configurations and elements. Artificial intelligence (AI) has seen a surge of popularity in energy materials research for its potential to streamline this time-consuming process. However, fully autonomous workflows that connect high-precision experimental knowledge to the discovery of credible new energy-related materials remain at an early stage.

A team of researchers at the WPI-Advanced Institute for Materials Research (WPI-AIMR), Tohoku University, created the Descriptive Interpretation of Visual Expression (DIVE) multi-agent workflow to streamline the material research process. The system extracts information from images in a database of over 30,000 entries from 4,000 scientific publications to propose new materials within minutes.

The findings were published in Chemical Science.

New design tool 3D-prints woven metamaterials that stretch and fail predictably

Metamaterials—materials whose properties are primarily dictated by their internal microstructure, and not their chemical makeup—have been redefining the engineering materials space for the last decade. To date, however, most metamaterials have been lightweight options designed for stiffness and strength.

New research from the MIT Department of Mechanical Engineering introduces a computational design framework to support the creation of a new class of soft, compliant, and deformable metamaterials. These metamaterials, termed 3D woven metamaterials, consist of building blocks that are composed of intertwined fibers that self-contact and entangle to endow the material with unique properties.

Platinum nanostructure sensor can differentiate mirror-image volatile scent compounds

Terpenes are volatile organic compounds that are responsible for, among other things, the typical scents of plants, resins or citrus fruits. These compounds occur naturally in the environment and influence chemical processes in the atmosphere. At high concentrations, they can irritate the respiratory tract and contribute to the formation of harmful derivatives. Many terpenes exist in two mirror-image forms, known as enantiomers, which can differ significantly in terms of their effects and how they are perceived—but which are difficult to distinguish between using technical means.

Now, researchers from the Department of Chemistry at the University of Basel have presented a new approach that allows these mirror-image forms of the molecules to be detected specifically.

“Our work focused on a specially developed platinum-based molecule that works as a sensor,” explains Dr. Annika Huber, first author of the study and a former doctoral student at the Swiss Nanoscience Institute’s Ph.D. School. “This sensor molecule has a fixed, three-dimensional shape and aggregates with a large number of identical molecules to form tiny stack-like nanostructures that react differently to the two mirror-image forms of the terpenes.”

From cryogenic to red-hot: Optical temperature sensing from 77 K to 873 K

An international collaboration involving researchers from the University of Innsbruck has developed a novel luminescent material that enables particularly robust and precise optical temperature sensing across an exceptionally broad temperature range.

Optical luminescence thermometry has been gaining increasing attention, as it allows contactless temperature measurement even under extreme conditions. A key concept in this field is so-called ratiometric Boltzmann thermometry, in which the intensity ratio of two thermally coupled emission transitions directly follows the temperature. The performance of such thermometers crucially depends on the electronic structure of the luminescent ion and its incorporation into the host structure.

In a recent study, the two first authors, Gülsüm Kinik from the research group of Prof. Markus Suta at Heinrich Heine University Düsseldorf and Ingo Widmann from the research group of Prof. Hubert Huppertz at the Department of General, Inorganic and Theoretical Chemistry at the University of Innsbruck, reported the compound Al0.993 Cr0.007 B4 O6 N, which stands out as an exceptionally high-performance luminescence thermometer. The material is based on Cr3+ ions embedded in an almost ideal octahedral coordination environment, resulting in a particularly well-defined energy level scheme.

CATL unveils battery with 12-minute charging and 1.5 million mile life

The company is already the world’s largest battery maker, supplying cells to major automakers. With this latest development, the battery giant is positioning itself at the center of the race to deliver gasoline-like convenience without sacrificing durability.

The core challenge engineers set out to address was whether an EV battery could withstand repeated ultra-fast charging without rapid degradation. A 5C charge rate means an 80-kilowatt-hour battery pack could theoretically accept around 400 kilowatts of power. That level of charging can refill a battery in roughly 12 minutes, similar to a typical gas stop.

Fast charging has long been associated with faster wear. The engineers tested whether the chemistry could handle that stress over time. According to the company, the answer was yes. Under standard conditions at 68°F, the battery retained at least 80 percent of its original capacity after 3,000 full charge-and-discharge cycles.

Physics-driven ML to accelerate the design of layered multicomponent electronic devices

Many advanced electronic devices – such as OLEDs, batteries, solar cells, and transistors – rely on complex multilayer architectures composed of multiple materials. Optimizing device performance, stability, and efficiency requires precise control over layer composition and arrangement, yet experimental exploration of new designs is costly and time-intensive. Although physics-based simulations offer insight into individual materials, they are often impractical for full device architectures due to computational expense and methodological limitations.

Schrödinger has developed a machine learning (ML) framework that enables users to predict key performance metrics of multilayered electronic devices from simple, intuitive descriptions of their architecture and operating conditions. This approach integrates automated ML workflows with physics-based simulations in the Schrödinger Materials Science suite, leveraging physics-based simulation outputs to improve model accuracy and predictive power. This advancement provides a scalable solution for rapidly exploring novel device design spaces – enabling targeted evaluations such as modifying layer composition, adding or removing layers, and adjusting layer dimensions or morphology. Users can efficiently predict device performance and uncover interpretable relationships between functionality, layer architecture, and materials chemistry. While this webinar focuses on single-unit and tandem OLEDs, the approach is readily adaptable to a wide range of electronic devices.

Solid, iron-rich megastructure under Hawaii slows seismic waves and may drive plume upwelling

Mantle plumes beneath volcanic hotspots, like Hawaii, Iceland, and the Galapagos, seem to be anchored into a large structure within the core-mantle boundary (CMB). A new study, published in Science Advances, takes a deeper dive into the structure under Hawaii using P-and S-wave analysis and mineralogical modeling, revealing its composition and properties.

It is known that anomalous structures exist within Earth’s lower mantle, including large low-velocity provinces (LLVPs) and ultra low-velocity zones (ULVZs), which cause seismic waves to slow down dramatically. Larger ULVZs, typically referred to as mega-ultra low velocity zones, are found near the CMB and often beneath oceanic hotspots like Hawaii. Mega-ULVZs can be over several hundred kilometers in length. Previous studies have linked these megastructures to mantle plumes and some say they may preserve primordial geochemical signatures.

However, current tomographic methods have been unable to fully analyze mega-ULVZs, and their composition and origin remain unclear. Seismic waves, on the other hand, present a way to investigate ULVZs, largely due to the effect ULVZs have on wave velocity.

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