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Showing 1–21 of 21 results
Advanced filters: Author: S. M. Vinko Clear advanced filters
  • The plasma environment induces an ionization potential depression on its ions, yet a clear description of this effect remains elusive. Towards this aim, Vinko et al.offer a method to study the structure and position of the continuum of highly ionized dense plasmas that accurately reproduces recent experiments.

    • S. M. Vinko
    • O. Ciricosta
    • J. S. Wark
    Research
    Nature Communications
    Volume: 5, P: 1-7
  • The electrons in a plasma can further ionize the ions when the two collide. Vinko et al. now study this ultrafast process in an unconventional plasma with a density similar to that of a solid, and show that the rate is several times higher than that predicted by standard theoretical models.

    • S. M. Vinko
    • O. Ciricosta
    • J. S. Wark
    Research
    Nature Communications
    Volume: 6, P: 1-7
  • The effect of dense plasma environment on the energy levels of an ion is usually described in terms of a lowering of its continuum level. Here the authors present an isochoric-heating experiment to measure and compare continuum lowering in single-species and mixture plasmas to provide insights for models.

    • O. Ciricosta
    • S. M. Vinko
    • J. S. Wark
    ResearchOpen Access
    Nature Communications
    Volume: 7, P: 1-6
  • Experimental study of the interactions between intense X-rays and solid matter illustrate the generation of a solid-density plasma governed by electron–ion collisions; these results should inform future high-intensity X-ray experiments involving dense samples, such as X-ray diffractive imaging of biological samples, material science investigations, and the study of matter in extreme conditions.

    • S. M. Vinko
    • O. Ciricosta
    • J. S. Wark
    Research
    Nature
    Volume: 482, P: 59-62
  • The first experimental demonstration of saturable absorption in core-electron transitions in aluminium paves the way for investigating warm dense matter, which potentially has an important role in planetary science and the realization of inertial confinement fusion.

    • Bob Nagler
    • Ulf Zastrau
    • Justin S. Wark
    Research
    Nature Physics
    Volume: 5, P: 693-696
  • HistoPlexer, a deep learning model, generates multiplexed protein expression maps from H&E images, capturing tumour–immune cell interactions. It outperforms baselines, enhances immune subtyping and survival prediction and offers a cost-effective tool for precision oncology.

    • Sonali Andani
    • Boqi Chen
    • Gunnar Rätsch
    ResearchOpen Access
    Nature Machine Intelligence
    Volume: 7, P: 1292-1307
  • In the Tumor Profiler proof-of-concept observational study, a multiomics approach for profiling tumors from patients with melanoma was feasible, returning data within 4 weeks and informing treatment recommendations in 75% of cases.

    • Nicola Miglino
    • Nora C. Toussaint
    • Andreas Wicki
    ResearchOpen Access
    Nature Medicine
    Volume: 31, P: 2430-2441
  • The molecular mechanisms underlying drug resistance in relapsed or refractory (rr) acute myeloid leukemia (AML) remain to be explored. Here, the use of bulk and single cell multi-omics and ex vivo drug profiling for 21 rrAML patients reveals mechanisms of resistance to the Bcl-2 inhibitor venetoclax and treatment vulnerabilities.

    • Rebekka Wegmann
    • Ximena Bonilla
    • Alexandre P. A. Theocharides
    ResearchOpen Access
    Nature Communications
    Volume: 15, P: 1-18
  • Long-read single-cell RNA sequencing is capable of detecting isoform-level gene expression and genomic alterations such as mutations and gene fusions, thereby providing cell-specific genotype-phenotype information. Here, the authors use long-read scRNA-seq on metastatic ovarian cancer samples and detect cell-type specific isoforms and gene fusions that may otherwise be misclassified in short-read data.

    • Arthur Dondi
    • Ulrike Lischetti
    • Niko Beerenwinkel
    ResearchOpen Access
    Nature Communications
    Volume: 14, P: 1-19
  • Many microbiome differential abundance methods are available, but it lacks systematic comparison among them. Here, the authors compare the performance of 14 differential abundance testing methods on 38 16S rRNA gene datasets with two sample groups, and show ALDEx2 and ANCOM-II produce the most consistent results.

    • Jacob T. Nearing
    • Gavin M. Douglas
    • Morgan G. I. Langille
    ResearchOpen Access
    Nature Communications
    Volume: 13, P: 1-16
  • The authors combine differentiable physics modelling and neural networks to extract high-resolution electronic density of states of warm dense materials from resonant inelastic x-ray scattering spectra. With this approach, they identify distinctive features in the valence structures of warm dense Fe and Fe2O3, also estimating their temperature and M-shell binding energies.

    • Alessandro Forte
    • Thomas Gawne
    • Sam M. Vinko
    ResearchOpen Access
    Communications Physics
    Volume: 7, P: 1-9
  • X-ray free-electron lasers enable a range of new experimental investigations into the properties of matter driven to extreme conditions via intense x-ray-matter interaction. The proposed numerical method enables a quantitative investigation of transient high-energy-density plasmas driven by XFELs in femtosecond timescales even when both electrons and ions are far from local thermodynamic equilibrium.

    • Shenyuan Ren
    • Yuanfeng Shi
    • Sam M. Vinko
    ResearchOpen Access
    Communications Physics
    Volume: 6, P: 1-10
  • The authors present a robust diagnostic algorithm based on digital pathology and image analysis that quantifies intratumoral and stromal CD8+ T-cell densities in the tumor center and invasive margin compartment in metastatic melanoma. Spatial CD8+ T-cell densities are translated into the clinically relevant immune diagnostic categories “inflamed”, “excluded”, and “desert”. Their approach also allows efficient immune phenotyping of metastatic lesions, on biopsy material or even in the absence of material from the invasive margin.

    • Bettina Sobottka
    • Marta Nowak
    • Viktor Hendrik Koelzer
    ResearchOpen Access
    Laboratory Investigation
    Volume: 101, P: 1561-1570