Publications by authors named "S Premachandran"

Article Synopsis
  • Brain metastases significantly contribute to cancer-related deaths and currently have poor treatment options; existing diagnostic methods are invasive and lack precision.
  • The study presents a new liquid biopsy technique using extracellular vesicles (EVs) as biomarkers for brain metastases, leveraging an advanced sensor created through femtosecond laser technology.
  • Molecular profiling of EVs shows unique signatures for metastatic tumors that enable a machine learning model to differentiate metastatic brain cancer from primary brain cancer with high accuracy, potentially improving diagnosis and treatment strategies in neuro-oncology.
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Article Synopsis
  • A new robotic system has been developed to enable accurate 3D imaging and morphological profiling of small model organisms like nematodes, overcoming challenges in resolution and complex shapes.
  • The system allows for contactless rotation and high-resolution imaging, which provides detailed 3D reconstructions at various developmental stages and mutant strains.
  • This technological advancement has led to the discovery of genetic interactions relevant to neurological and muscular disorders, showcasing its potential for broader applications in studying various biological samples.
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Article Synopsis
  • - Breast cancer is a highly variable disease with complex characteristics, making it hard to detect its intratumor heterogeneity, which is essential for effective treatment and understanding progression.
  • - The study focuses on using an Immuno Nano Sensor and machine learning to analyze metabolic differences in breast tumors by examining immune cells, achieving high accuracy in distinguishing cancer from healthy tissue.
  • - The method demonstrates significant sensitivity in identifying tumor types and receptor statuses, suggesting potential for improved diagnosis and management strategies through less invasive techniques like liquid biopsies.
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The nematode Caenorhabditis elegans is widely employed as a model organism to study basic biological mechanisms. However, transgenic C. elegans are generated by manual injection, which remains low-throughput and labor-intensive, limiting the scope of approaches benefitting from large-scale transgenesis.

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Recent advances in the use of stable isotopes necessitate novel synthesis techniques for isotope separation and enrichment that are scalable and offer high throughput. Stable-isotope-enriched nanostructures can offer unique advantages as nanomedicines, safe tracers, and labels and are critical for applications in various industrial processes, metabolic research, and medicine. So far, there exists no method to synthesize miniature isotope-enriched materials at the nanoscale.

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