Publications by authors named "M K Mohan M Raja"

Discovery of cancer immunogenic chemotherapeutics represents an emerging, highly promising direction for cancer treatment that uses a chemical drug to achieve the efficacy of both chemotherapy and immunotherapy. Herein, we report a high-throughput screening platform and the subsequent discovery of a new class of cancer immunogenic chemotherapeutic leads. Our platform integrates informatics-based activity metabolomics for the rapid identification of microbial natural products with both novel structures and potent activities.

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Over the past few decades, machine learning and deep learning (DL) have incredibly influenced a broader range of scientific disciplines. DL-based strategies have displayed superior performance in image processing compared to conventional standard methods, especially in healthcare settings. Among the biggest threats to global public health is the fast spread of malaria.

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Introduction: In the rapidly evolving landscape of digital health technologies, the widespread use of smartphones has paved the way for innovative applications designed to enhance healthcare experiences. This introduction underscores the global prevalence of smartphone users and their potential in healthcare, particularly exemplified by therapeutic apps such as the 'Post Op' smartphone application. Focused on postoperative support, this app prioritises user-friendly design, data recording, and adherence to national standards.

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Background: Adherence to optimal practices in the preparation and issuance of pediatric blood components can significantly influence patient care outcomes. This study aims to examine the blood banking procedures across prominent Italian children's hospitals, with the goal of identifying both consistent and potentially divergent standards within this field.

Materials And Methods: A survey was conducted among the blood banks affiliated with the Italian Association of Pediatric Hospitals.

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Article Synopsis
  • - The study explores the nonlinear optical properties of a new pyrimidine derivative, PMMS, confirmed through X-ray diffraction and geometry optimization methods.
  • - Key interactions were analyzed, showing enhanced NLO behavior in PMMS, with a noteworthy improvement in third-order nonlinear susceptibility compared to known chalcone derivatives.
  • - Additionally, PMMS demonstrates potential as a potent acetylcholinesterase inhibitor, suggesting its use in treating neurodegenerative diseases like Alzheimer's and underscoring its promise in both optical and pharmaceutical fields.
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