Publications by authors named "S H Sumathi"
MicroRNAs (miRNAs), a class of small non-coding RNAs, play a vital role in regulating gene expression at the post-transcriptional level. Their discovery has profoundly impacted therapeutic strategies, particularly in cancer treatment, where RNA therapeutics, including miRNA-based targeted therapies, have gained prominence. Advances in RNA sequencing technologies have facilitated a comprehensive exploration of miRNAs-from fundamental research to their diagnostic and prognostic potential in various diseases, notably cancers.
View Article and Find Full Text PDFCervical cancer is a major cause of morbidity and mortality particularly in low- and mid-income countries. This review synthesizes existing knowledge on cervical cancer, HPV infection, and HPV vaccination accumulated over the past decade (2015-2024), highlighting disparities in awareness and prevention strategies globally. Education level correlates with HPV vaccine awareness, yet mere familiarity with cervical cancer doesn't ensure understanding of its severity.
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- Facial emotion recognition (FER) is important for applications like human-computer interaction and emotion detection, but current methods struggle with accuracy.
- The paper introduces a new framework called extended walrus-based deep learning with Botox feature selection network (EWDL-BFSN) that aims to accurately detect facial emotions by optimizing feature selection and classifier parameters.
- The EWDL-BFSN model uses advanced techniques like gradient wavelet anisotropic filtering and SqueezeNet for feature extraction, achieving impressive accuracy rates of 99.37% and 99.25% on the CK+ and FER-2013 datasets, outperforming existing methods.
Article Synopsis
- - Cervical cancer (CC) is a significant global health issue, particularly in low- and middle-income countries (LMICs), where effective prevention, diagnosis, and treatment strategies are urgently needed to improve outcomes with minimal side effects.
- - The study highlights the integration of biotechnology and artificial intelligence (AI) as promising advancements in CC management, enhancing screening accuracy and patient care through innovative methods like MobileODT and precision therapies.
- - Despite these advancements, further clinical research is necessary to successfully implement these technologies in real-world settings, aiming to reduce the global burden of cervical cancer and enhance the lives of women, especially in LMICs.
Article Synopsis
- This study focuses on improving the photocatalytic efficiency of bulk graphitic carbon nitride (g-CN) for wastewater treatment by using a method called thermal exfoliation (TE-g-CN) to enhance its properties.
- The TE-g-CN demonstrated high degradation efficiencies for various textile dyes after 60 minutes of UV light exposure, achieving 92% for methylene blue, 93% for methyl orange, and 95% for rhodamine B, with performance improving at higher exfoliation temperatures.
- Characterization techniques showed that TE-g-CN had a significantly larger surface area and higher adsorption efficiency compared to bulk g-CN, along with reduced electron-hole recombination and excellent stability