results 433-444 of 557
Identification and characterization of novel long non-coding RNAs in AKI-to-CKD transition using CRISPR/Cas9-based epigenome editing: Revealing the potential of the long non-coding RNAs as a biomarker and therapeutic strategy
17/03/2023
Inventors: Gaikwad Anil Bhanudas, Syamantak Majumder
Identification and characterization of novel long non-coding RNAs in the transitional process from acute kidney injury (AKI) to chronic kidney disease (CKD) using groundbreaking CRISPR/Cas9-based epigenome editing techniques has shed light on the potential of these long non-coding RNAs. This research not only highlights their role as potential biomarkers but...
Identification and characterization of novel long non-coding RNAs in the transitional process from acute kidney injury (AKI) to chronic kidney disease (CKD) using groundbreaking CRISPR/Cas9-based epigenome editing techniques has shed light on the potential of these long non-coding RNAs. This research not only highlights their role as potential biomarkers but also underscores their promising applications as targets for innovative therapeutic strategies aiming to address the AKI-to-CKD transition, opening new avenues for precision medicine approaches in renal health. (Pharmacy)
Molecular Dissection of Small RNA Biogenesis Machinery Regulating Male Fertility and Reproductive Stage Stress Tolerance in Sorghum
17/05/2023
Inventors: Rita Sharma
In this study, we aim to precisely analyze the molecular components involved in small RNA biogenesis machinery, particularly focusing on their role in controlling male fertility and stress tolerance during reproductive stages in Sorghum plants. By dissecting these intricate mechanisms, we hope to gain a deeper understanding of the processes...
In this study, we aim to precisely analyze the molecular components involved in small RNA biogenesis machinery, particularly focusing on their role in controlling male fertility and stress tolerance during reproductive stages in Sorghum plants. By dissecting these intricate mechanisms, we hope to gain a deeper understanding of the processes governing plant reproduction and stress responses, shedding light on potential targets for genetic manipulation to enhance crop productivity and resilience in challenging environments. (Biological Sciences)
Development of Nanocarriers for Fra-1 Gene Delivery to Tumor Associated Macrophages and Evaluating its Anti-metastatic Potential in Breast Cancer
18/01/2023
Inventors: Richa Shrivastava
In this study, our focus is on the innovative development of nanocarriers specifically designed for delivering the Fra-1 gene to tumor-associated macrophages, with the ultimate goal of evaluating their potential as a therapeutic strategy against metastasis in breast cancer. The intricate process involves designing nanocarriers tailored to effectively target macrophages...
In this study, our focus is on the innovative development of nanocarriers specifically designed for delivering the Fra-1 gene to tumor-associated macrophages, with the ultimate goal of evaluating their potential as a therapeutic strategy against metastasis in breast cancer. The intricate process involves designing nanocarriers tailored to effectively target macrophages within the tumor microenvironment, offering a promising approach to combat metastatic breast cancer by manipulating the molecular pathways associated with Fra-1 expression. This research aims to contribute valuable insights into the development of precision medicine strategies for treating advanced breast cancer. (Pharmacy)
Exploring the Mechanism of Aggregation Induced Emission (AIE) and Aggregation Enhanced Emission (AEE) Phenomena Through DFT and Wave Function Based Methods
18/01/2024
Inventors: Ram Kinkar Roy
In this study, we aim to delve into a thorough examination of the phenomena associated with Aggregation Induced Emission (AIE) and Aggregation Enhanced Emission (AEE) by employing a comprehensive approach that utilizes both Density Functional Theory (DFT) and Wave Function Based Methods. Our objective is to gain a deep understanding...
In this study, we aim to delve into a thorough examination of the phenomena associated with Aggregation Induced Emission (AIE) and Aggregation Enhanced Emission (AEE) by employing a comprehensive approach that utilizes both Density Functional Theory (DFT) and Wave Function Based Methods. Our objective is to gain a deep understanding of the underlying mechanisms driving these intriguing processes through a detailed analysis that combines theoretical frameworks and computational simulations. By integrating these advanced techniques, we seek to elucidate the complex interplay between molecular aggregation and emission properties, shedding light on the fundamental principles governing these phenomena. (Chemistry)
An Automatic Multi-Modal Learning System for Image/Video Analytics
18/03/2021
Inventors: Poonam Goyal
The development of an advanced automatic multi-modal learning system designed specifically for image and video analytics represents a significant technological breakthrough in the field of artificial intelligence. This cutting-edge system combines state-of-the-art algorithms and deep learning capabilities to accurately process and analyze a wide range of visual data, enabling businesses...
The development of an advanced automatic multi-modal learning system designed specifically for image and video analytics represents a significant technological breakthrough in the field of artificial intelligence. This cutting-edge system combines state-of-the-art algorithms and deep learning capabilities to accurately process and analyze a wide range of visual data, enabling businesses and researchers to extract valuable insights and make informed decisions based on the patterns and trends identified. The seamless integration of various modes of learning, such as deep neural networks and computer vision technologies, ensures the system's ability to adapt to different scenarios and tasks, offering a versatile solution for diverse applications. (CS&IS)
Repurposing the endogenous CRISPR-Cas system as an Anti-Salmonella strategy
19/01/2024
Inventors: Sandhya Marathe
In this groundbreaking approach, researchers are investigating the potential of repurposing the natural CRISPR-Cas system present within organisms to develop a novel anti-Salmonella strategy. Leveraging the innate defense mechanism provided by CRISPR-Cas, this innovative method aims to target and neutralize Salmonella bacteria effectively. By reimagining the endogenous CRISPR-Cas system in...
In this groundbreaking approach, researchers are investigating the potential of repurposing the natural CRISPR-Cas system present within organisms to develop a novel anti-Salmonella strategy. Leveraging the innate defense mechanism provided by CRISPR-Cas, this innovative method aims to target and neutralize Salmonella bacteria effectively. By reimagining the endogenous CRISPR-Cas system in this context, scientists are exploring new avenues to combat this pathogen and enhance food safety. This strategy offers a promising outlook for addressing the persistent challenge of Salmonella infections by utilizing the inherent capabilities of the CRISPR-Cas system for therapeutic intervention. (Biological Sciences)
Development of Semi-Analytical Methodology as a Design Aid for Small-Scale Structures using Non-Classical Continuum Mechanics
19/10/2023
Inventors: Rajesh Kumar
The research focuses on the development of a semi-analytical methodology to serve as a useful design tool for small-scale structures by incorporating principles from non-classical continuum mechanics. This approach aims to enhance the understanding and efficiency of designing small-scale structures by taking into account unique material behaviors and nonlinear characteristics...
The research focuses on the development of a semi-analytical methodology to serve as a useful design tool for small-scale structures by incorporating principles from non-classical continuum mechanics. This approach aims to enhance the understanding and efficiency of designing small-scale structures by taking into account unique material behaviors and nonlinear characteristics that traditional methods may overlook. By utilizing this methodology, engineers and designers will have a comprehensive framework to better predict the structural response and optimize the performance of small-scale structures while considering complex mechanical interactions. (Civil Engineering)
Floquet Engineering of Lie Algebraic Open Quantum Systems
19/12/2022
Inventors: Jayendra Nath Bandyopadhyay
Floquet Engineering involves manipulating the dynamics of quantum systems governed by Lie algebraic principles, particularly in open system scenarios where external interactions play a crucial role. This process aims to control and enhance the behavior of these systems by fine-tuning their evolution using carefully designed operations. By leveraging the mathematical...
Floquet Engineering involves manipulating the dynamics of quantum systems governed by Lie algebraic principles, particularly in open system scenarios where external interactions play a crucial role. This process aims to control and enhance the behavior of these systems by fine-tuning their evolution using carefully designed operations. By leveraging the mathematical framework of Lie algebras, researchers can apply advanced engineering techniques to improve the performance and properties of open quantum systems. This innovative approach allows for a deeper understanding and optimization of the system's behavior, paving the way for new applications in quantum technology and beyond. (Physics)
Information Thermodynamics of Molecular Recognition in Enzymes
19/12/2022
Inventors: Sandipan Dutta
Through the exploration of information thermodynamics, a fascinating field delving into the energy exchanges within molecular recognition processes in enzymes, researchers strive to unravel the intricate mechanisms governing the exquisite specificity and efficiency of these biological catalysts. By dissecting the interplay of entropy, enthalpy, and informational content in enzyme-substrate interactions,...
Through the exploration of information thermodynamics, a fascinating field delving into the energy exchanges within molecular recognition processes in enzymes, researchers strive to unravel the intricate mechanisms governing the exquisite specificity and efficiency of these biological catalysts. By dissecting the interplay of entropy, enthalpy, and informational content in enzyme-substrate interactions, scientists gain valuable insights into the fundamental principles guiding these crucial enzymatic reactions. This interdisciplinary approach marries the realms of physics, chemistry, and biology, offering a comprehensive perspective on the intricate dance of molecules essential for sustaining life processes at the molecular level. (Physics)
Sensitivity analysis of Magnetic Nanoparticles Drug Delivery through a Curved Stenotic Artery
Multisensor Fusion Toolbox for Edge-AI Computing to Support IoT and MIoT driven Building Automation and Management Applications
19/12/2023
Inventors: Meetha V. Shenoy
The Multisensor Fusion Toolbox is a cutting-edge solution designed for seamless integration with Edge-AI Computing, offering robust support for both IoT and MIoT-driven Building Automation and Management Applications. This innovative toolbox leverages advanced technologies to enhance the efficiency and productivity of building operations, enabling real-time data processing and intelligent decision-making....
The Multisensor Fusion Toolbox is a cutting-edge solution designed for seamless integration with Edge-AI Computing, offering robust support for both IoT and MIoT-driven Building Automation and Management Applications. This innovative toolbox leverages advanced technologies to enhance the efficiency and productivity of building operations, enabling real-time data processing and intelligent decision-making. It serves as a comprehensive framework to optimize resource utilization, improve energy conservation, and streamline various aspects of facility management. By harnessing the power of multisensor fusion, this toolbox empowers organizations to achieve greater automation and control over their building systems, paving the way for a smarter and more sustainable future. (EEE)
Design, Synthesis, Pharmacokinetic and Pharmacodynamic Evaluation of Acridine and Related Moieties for the Treatment of Alzheimer’s Disease
19/04/2021
Inventors: Paritosh Shukla
In this research project, our focus was on the design, synthesis, pharmacokinetic evaluation, and pharmacodynamic assessment of acridine and its related moieties with the ultimate objective of developing potential therapeutic options for Alzheimer’s Disease. This multidisciplinary approach aimed to explore the effectiveness of these compounds in targeting specific pathways associated...
In this research project, our focus was on the design, synthesis, pharmacokinetic evaluation, and pharmacodynamic assessment of acridine and its related moieties with the ultimate objective of developing potential therapeutic options for Alzheimer’s Disease. This multidisciplinary approach aimed to explore the effectiveness of these compounds in targeting specific pathways associated with the disease progression, with the hope of identifying new treatment strategies that could provide relief and improved outcomes for individuals affected by Alzheimer’s Disease. Through rigorous testing and evaluation, our goal was to contribute valuable insights to the field of pharmacology and neuroscience, moving one step closer towards finding a viable solution for this debilitating condition. (Chemistry)
An Institute of Eminence
