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Identifying jets originating from heavy quarks plays a fundamental role in hadronic collider experiments. In this work, the ATLAS Collaboration describes and tests a transformer-based neural network architecture for jet flavour tagging based on low-level input and physics-inspired constraints.

This study shows that excessive atmospheric nitrogen deposition can enhance methane production and emissions by impacting microbial phosphorus acquisition due to the change of N/P ratios in oxygenated surface oceans.

Large-effect variants in autism remain elusive. Here, the authors use long-read sequencing to assemble phased genomes for 189 individuals, identifying pathogenic variants in TBL1XR1, MECP2, and SYNGAP1, plus nine candidate structural variants missed by short-read methods.

Humanity’s Last Exam, a multi-modal benchmark at the frontier of human knowledge, is designed to be an expert-level closed-ended academic benchmark with broad subject coverage.

Cardiometabolic disease and depression often co-occur, but their multi-organ basis was unclear. Here, the authors analyse UK Biobank imaging and genetics, identifying abdomen-heart-brain networks and 43 shared loci, improving multimorbidity prediction

Estimates from the Global Burden of Disease study reveal declines in chronic respiratory disease mortality between 1990 and 2023—especially during the COVID-19 pandemic—but the burdens on people affected remain substantial.

cellSTAAR advances noncoding rare variant association analysis by integrating single-cell genomics data.

There is a lack of effective therapies for patients with non-V600E BRAF mutant cancer. Here, the authors report limited response in a phase II trial investigating the combination of binimetinib (MEK inhibitor) and encorafenib (BRAF inhibitor) for the treatment of non-V600E BRAF mutant cancer and subsequently investigate resistance mechanisms and combination therapeutic strategies in patient-derived models.

The study introduces radio interferometric multiplexed spectroscopy (RIMS), a method designed to efficiently monitor the radio emissions of massive samples of stars. Applying it to LOFAR data, the authors identify stellar bursts, offering clues to possible star–planet magnetic interactions.

It remains unknown why only some sickle cell disease (SCD) patients develop lung thrombosis. Here, the authors show that an extracellular vesicle-dependent mechanism prevents lung thrombosis in SCD and how a CD39 polymorphism impairs this protection to promote lung thrombosis in subset of patients.

Global Burden of Disease estimates show that between 1990 and 2023, the prevalence and burden of drug use disorders, inclusive of amphetamine, cannabis, cocaine and opioid use, have been increasing in high-income countries, particularly in the USA.

The CMS Collaboration reports the measurement of the spin, parity, and charge conjugation properties of all-charm tetraquarks, exotic fleeting particles formed in proton–proton collisions at the Large Hadron Collider.

The tolerogenic activity of type 1 conventional dendritic cells (cDC1s) is determined by EPOR, which is preferentially expressed in cDC1s and induces antigen-specific FOXP3-expressing regulatory T cells.

The ALICE Collaboration provides details on the microscopic mechanism that ends up creating antideuteron in high-energy proton–proton collisions at the Large Hadron Collider.

Understanding collective behaviour is an important aspect of managing the pandemic response. Here the authors show in a large global study that participants that reported identifying more strongly with their nation reported greater engagement in public health behaviours and support for public health policies in the context of the pandemic.

Systems of electron spins in nuclear-spin-rich hosts are gaining attention for quantum memory applications. Using spin ensemble studies, the authors propose transition metal ions in halide double perovskites as promising candidates, featuring long electron spin coherence and deterministic nuclear spin control.

CLASSIC is a high-throughput genetic profiling platform that combines long- and short-read next-generation-sequencing modalities to quantitatively assess pools of constructs of arbitrary length containing diverse genetic part compositions.

Analysis combining multiple global tree databases reveals that whether a location is invaded by non-native tree species depends on anthropogenic factors, but the severity of the invasion depends on the native species diversity.

Specific pain-sensing nociceptors and chemosensory tuft cells form a circuit to promote type 2 immune responses in the intestine.

This study shows that many small RNAs in Capsella rubella pollen originate from maternal tissues. These mobile small RNAs support proper pollen development, revealing that non-cell-autonomous small RNAs are crucial for successful plant reproduction.

Newly developed mouse models that enable cell-specific analyses of proteostasis dynamics across the lifespan of the mice reveal key aspects of neuronal proteostasis with ageing.

The high-plasticity cell state (HPCS) is a critical hub that enables reciprocal transitions between cancer cell states, and targeting the HPCS may suppress cancer progression and eradicate treatment resistance.

In this study, the authors present an fMRI‑based signature of corticospinal connections, which predicts individual pain sensitivity, generalizes to patient cohorts, and tracks changes after brain stimulation, suggesting a biomarker to guide personalized pain care.

Zhang et al. design a nanostructure which activates an adaptive martensitic transformation mechanism in a nuclear grade austenitic stainless steel, achieving extraordinary radiation resistance with non-degraded mechanical properties.

Federated learning (FL) algorithms have emerged as a promising solution to train models for healthcare imaging across institutions while preserving privacy. Here, the authors describe the Federated Tumor Segmentation (FeTS) challenge for the decentralised benchmarking of FL algorithms and evaluation of Healthcare AI algorithm generalizability in real-world cancer imaging datasets.

Vinyard et al. present a generative method to model cell dynamics using neural stochastic differential equations that learn state-dependent drift and diffusion, outperforming existing approaches and enabling perturbation studies of development and disease.

TCR-engineered T cells have shown limited efficacy in part due to the absence of co-stimulation leading to limited accumulation in solid tumors. The authors here show engineering the CD8β coreceptor with an intracellular CD28 domain enhances cytokine production, persistence, and tumor control in vivo independent of tumor-associated co-stimulatory ligand encounter.

The fetal globin gene repressors BCL11A and ZBTB7A directly bind γ-globin gene promoter regions. Repressor binding is disrupted by naturally occurring point mutations located upstream of the transcriptional start site that are associated with hereditary persistence of fetal hemoglobin.

Here the authors perform longitudinal sampling of lymphoid organs along with fate mapping and matched single-cell RNA sequencing and TCR sequencing to define the developmental dynamics of follicular regulatory T (T_FR) cells. They find that T_FR cells undergo clonal expansion and progressive differentiation in a process that requires follicular helper T cells.

Lung CT imaging and artificial intelligence are increasingly integral to modern patient care. Here, the authors show LCTfound, a vision foundation model, which employs diffusion-based pretraining to enable a wide range of downstream applications.

A reinforcement learning-based virtual reality system, implementing a series of sport sessions with coaching, was as effective as standard physical activity in reducing fat mass in adolescents, with positive effects on cognition.

Epigenetic clocks estimate biological age and health risks. Here, the authors compare 14 clocks in 18,859 individuals, showing second-generation clocks better predict disease incidence and mortality, particularly for respiratory and liver-related conditions.

While Bell inequalities have been violated several times—mostly in photonic systems—their violations within particle physics experiments are less explored. Here, the BESIII Collaboration showcases Bell-violating nonlocal correlations between entangled hyperon pairs.

The Einstein Probe has discovered a fast X-ray transient, EP240414a, associated with a broad-lined type Ic supernova. Its unusually soft spectrum and weak jet add to the diversity of stellar deaths and suggest a previously unknown Wolf–Rayet star explosion mechanism.

Analysis of cancer genome sequencing data has enabled the discovery of driver mutations. Here, as part of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium the authors present DriverPower, a software package that identifies coding and non-coding driver mutations within cancer whole genomes via consideration of mutational burden and functional impact evidence.

In this work, authors present their goal-directed subgroup identification (GD-SI) framework, reconciling biological heterogeneity with clinical actionability, and offering a scalable infrastructure for precision trial design and personalized sepsis management.

The quark structure of the f₀(980) hadron is still unknown after 50 years of its discovery. Here, the CMS Collaboration reports a measurement of the elliptic flow of the f₀(980) state in proton-lead collisions at a nucleon-nucleon centre-of-mass energy of 8.16 TeV, providing strong evidence that the state is an ordinary meson.

Quantum lock-in detection (QLID) is crucial for extracting oscillating signals from noise, while quantum entanglement is vital to surpass the standard of quantum limit in precision measurement. Here, the authors experimentally realise entanglement-enhanced QLID using two trapped ions, achieving frequency measurement precision at the Heisenberg limit and demonstrating an improved inverse-quadratic temporal scaling.

iGluSnFR4f and iGluSnFR4s are the latest generation of genetically encoded glutamate sensors. They are advantageous for detecting rapid dynamics and large population activity, respectively, as demonstrated in a variety of applications in the mouse brain.

Previous models explain solid-solution strengthening by differences in atomic volume and electronegativity of the constituent atoms. Here, the authors consider both factors simultaneously and identify atomic volume as the dominant factor for FCC alloys.

Tools to identify who will develop Crohn’s disease in the future are limited. Here, the authors develop and validate a proteomics-based model that predicts disease onset up to 16 years before clinical diagnosis.

Investigating the inner structure of baryons is important to further our understanding of the strong interaction. Here, the BESIII Collaboration extracts the absolute value of the ratio of the electric to magnetic form factors and its relative phase for e + e − → J/ψ → ΛΣ decays, enhancing the signal thanks to the vacuum polarisation effect at the J/ψ peak.

The semileptonic decay channels of the Λc baryon can give important insights into weak interaction, but decay into a neutron, positron and electron neutrino has not been reported so far, due to difficulties in the final products’ identification. Here, the BESIII Collaboration reports its observation in e+e- collision data, exploiting machine-learning-based identification techniques.

Beck et al. develop a model where striosomes create a flexible “decision-space” that adapts to environmental context and internal state. It explains how we make choices and why decision-making varies between people, and in neuropsychiatric disorders.

Lung adenocarcinomas bearing the ID2 mutational signature display increased LINE-1 retrotransposon activity, which contributes to their fast evolutionary dynamics and aggressive phenotype.

Genomic analyses applied to 14 childhood- and adult-onset psychiatric disorders identifies five underlying genomic factors that explain the majority of the genetic variance of the individual disorders.

Efficient and durable energy storage is vital for renewable integration. Here, the authors design an aqueous iron-cerium redox flow battery using a universal complexing agent that enhances stability and efficiency, achieving long cycle life and high performance in neutral conditions.

Thermal lepton pairs are ideal probes for the temperature of quark-gluon plasma. Here, the STAR Collaboration uses thermal electron-positron pair production to measure quark-gluon plasma average temperature at different stages of the evolution.