Publications by authors named "Sneha Verma"

Article Synopsis
  • Artificial intelligence (AI) combines machine learning and deep learning, playing a vital role in medicine by predicting drug behavior and enhancing healthcare services, leading to better clinical outcomes and cost savings.* -
  • Recent advancements in biomedical research have created a demand for new technologies, workforce, and standards, paving the way for a healthcare revolution through the integration of AI and health data.* -
  • The review highlights AI technologies that can expedite drug development, improve product quality, and ensure safety during manufacturing, especially by predicting the structure of target proteins.*
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Surface plasmons, continuous and cumulative electron vibrations confined to metal-dielectric interfaces, play a pivotal role in aggregating optical fields and energies on nanostructures. This confinement exploits the intrinsic subwavelength nature of their spatial profile, significantly enhancing light-matter interactions. Metals, semiconductors, and 2D materials exhibit plasmonic resonances at diverse wavelengths, spanning from ultraviolet (UV) to far infrared, dictated by their unique properties and structures.

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We investigate the performance of uncertainty quantification methods, namely deep ensembles and bootstrap resampling, for deep neural network (DNN) predictions of transition metal K-edge X-ray absorption near-edge structure (XANES) spectra. Bootstrap resampling combined with our multi-layer perceptron (MLP) model provides an accurate assessment of uncertainty with >90% of all predicted spectral intensities falling within ±3 of the true values for data across the nine first-row transition metal K-edge XANES spectra.

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Photonic researchers are increasingly exploiting nanotechnology due to the development of numerous prevalent nanosized manufacturing technologies, which has enabled novel shape-optimized nanostructures to be manufactured and investigated. Hybrid nanostructures that integrate dielectric resonators with plasmonic nanostructures are also offering new opportunities. In this work, we have explored a hybrid coupled nano-structured antenna with stacked multilayer lithium tantalate (LiTaO) and Aluminum oxide (AlO), operating at wavelength ranging from 400 nm to 2000 nm.

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Nanophotonics exploits the best of photonics and nanotechnology which has transformed optics in recent years by allowing subwavelength structures to enhance light-matter interactions. Despite these breakthroughs, design, fabrication, and characterization of such exotic devices have remained through iterative processes which are often computationally costly, memory-intensive, and time-consuming. In contrast, deep learning approaches have recently shown excellent performance as practical computational tools, providing an alternate avenue for speeding up such nanophotonics simulations.

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2-Halogenatedphenyl benzoxazole-5-carboxylic acids with mono-halogen (chloro, bromo and fluoro) substituted at ortho-, meta- and para-positions on the phenyl ring were designed and synthesized based on significance of presence of halogen in increasing number of marketed halogenated drugs and importance of benzoxazoles. These 2-alogenatedphenylbenzoxazole-5-carboxylic acids and their methyl esters were screened for anti-inflammatory activity, and cytotoxicity. 2-(3-Chlorophenyl)benzoxaole-5-carboxylic acid (6b) exhibited significant anti-inflammatory activity with IC values of 0.

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Article Synopsis
  • Rheumatoid arthritis (RA) is an autoimmune disease causing significant joint and bone damage, with a global incidence of 3 cases per 10,000 people and a prevalence of around 1%.
  • Current treatments mainly involve conventional Disease Modifying Anti Rheumatic Drugs (DMARDs) and glucocorticoids, but new strategies using biological DMARDs and personalized medicine are being explored due to the economic burden and side effects of existing treatments.
  • Research indicates that combining conventional DMARDs with targeted therapies can be effective, especially in early RA cases and in patients not responding well to standard medications, while future possibilities could include gene therapy and stem cell treatments.
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The increasing use of nanomaterials and scalable, high-yield nanofabrication process are revolutionizing the development of novel biosensors. Over the past decades, researches on nanotechnology-mediated biosensing have been on the forefront due to their potential application in healthcare, pharmaceutical, cell diagnosis, drug delivery, and water and air quality monitoring. The advancement of nanoscale science relies on a better understanding of theory, manufacturing and fabrication practices, and the application specific methods.

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The Artificial Neural Network (ANN) has become an attractive approach in Machine Learning (ML) to analyze a complex data-driven problem. Due to its time efficient findings, it has became popular in many scientific fields such as physics, optics, and material science. This paper presents a new approach to design and optimize the electromagnetic plasmonic nanostructures using a computationally efficient method based on the ANN.

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Gold nanoantennas have been used in a variety of biomedical applications due to their attractive electronic and optical properties, which are shape- and size-dependent. Here, a periodic paired gold nanostructure exploiting surface plasmon resonance is proposed, which shows promising results for Refractive Index (RI) detection due to its high electric field confinement and diffraction limit. Here, single and paired gold nanostructured sensors were designed for real-time RI detection.

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Vitamin D is an immunomodulatory hormone with an established role in calcium and phosphate metabolism and skeletal mineralization. Evidence showing its immunological benefits by regulating essential components of the innate and adaptive immune system is prevalent. Vitamin D deficiency is reported worldwide and is thereby found to be associated with various immune-related diseases.

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An air-silica microstructure optical fiber of ultrahigh birefringence of the order ∼10 and low confinement loss is proposed. The birefringence is achieved by axial anisotropy introduced in the fiber geometry by the preferred arrangement of circular air holes of different sizes in the cladding structure. Vital properties of the microstructure fiber, e.

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Agomelatine (AGM) is a new antidepressant drug with a novel mechanism of action and fewer side effects compared with older antidepressants. AGM is a melatonin receptor (MT1 and MT2) agonist and 5-hydroxytryptamine receptor (5-HT) antagonist. In the present study, the enhancement of the oral bioavailability of AGM was formulated and loaded into nanostructured lipid carriers (NLCs), using ultrasonication method.

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