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Computational biology and bioinformatics is an interdisciplinary field that develops and applies computational methods to analyse large collections of biological data, such as genetic sequences, cell populations or protein samples, to make new predictions or discover new biology. The computational methods used include analytical methods, mathematical modelling and simulation.
Multicellular modeling is increasingly being used to understand biological systems. SimuCell3D is a tool that allows mechanically realistic simulations, using the deformable cell model, to be developed and run.
Vision–language models can be trained to read cardiac ultrasound images with implications for improving clinical workflows, but additional development and validation will be required before such models can replace humans.
Skeletal muscle is a highly heterogenous tissue that comprises multiple cell types. Leveraging single-cell and single-nucleus experiments, we systematically mapped the cellular and molecular changes across different skeletal muscle compartments with age. We identify neuromuscular-junction accessory nuclei that may be pivotal in mitigating denervation and uncovered differences between myofiber and myonucleus aging.
CAR T cell immunotherapy for paediatric solid and brain tumours is constrained by the availability of targetable antigens. Here, the authors investigate the landscape of cancer-specific exons as potential targets by analysing 1,532 RNAseq datasets from 16 types of paediatric solid and brain tumours.
Multicellular modeling is increasingly being used to understand biological systems. SimuCell3D is a tool that allows mechanically realistic simulations, using the deformable cell model, to be developed and run.
Vision–language models can be trained to read cardiac ultrasound images with implications for improving clinical workflows, but additional development and validation will be required before such models can replace humans.
Skeletal muscle is a highly heterogenous tissue that comprises multiple cell types. Leveraging single-cell and single-nucleus experiments, we systematically mapped the cellular and molecular changes across different skeletal muscle compartments with age. We identify neuromuscular-junction accessory nuclei that may be pivotal in mitigating denervation and uncovered differences between myofiber and myonucleus aging.