results 541-552 of 557
Apremilast Loaded Halloysite Nanotubes Composite Encapsulated In Electrospun Nanopatches A Novel Treatment For Psoriasis
08/02/2022
Inventors: Gautam Singhvi
Psoriasis is a chronic inflammatory skin condition that affects millions of individuals worldwide, often leading to significant physical discomfort and emotional distress. Traditional treatments, including topical therapies, systemic medications, and phototherapy, may not always provide adequate relief and can sometimes result in undesirable side effects. In recent years, researchers have...
Psoriasis is a chronic inflammatory skin condition that affects millions of individuals worldwide, often leading to significant physical discomfort and emotional distress. Traditional treatments, including topical therapies, systemic medications, and phototherapy, may not always provide adequate relief and can sometimes result in undesirable side effects. In recent years, researchers have been exploring innovative approaches to improve psoriasis management. One such promising strategy involves the use of apremilast, a phosphodiesterase 4 (PDE4) inhibitor known for its anti-inflammatory properties. By loading apremilast into halloysite nanotubes, a natural clay mineral with unique structural characteristics, and encapsulating this composite within electrospun nanopatches, we can enhance the targeted delivery and sustained release of the medication. These nanopatches offer a novel and efficient method for delivering therapeutic agents directly to the affected areas of the skin, potentially improving treatment outcomes for individuals suffering from psoriasis while minimizing systemic exposure and side effects. This innovative approach represents a significant advancement in the quest for more effective psoriasis treatments and highlights the potential of nanotechnology in dermatological applications. (Pharmacy)
Understanding the onset and progression of Parkinson’s disease via regulating mitochondrial dynamics
02/08/2023
Inventors: Meghana Tare
Understanding the onset and progression of Parkinson's disease through regulating mitochondrial dynamics focuses on the role of mitochondria in neurodegeneration. Mitochondria play a crucial role in cellular energy production and maintaining neuronal health. In Parkinson's disease, dysfunctional mitochondria contribute to oxidative stress and neuronal damage.
Research explores how controlling mitochondrial dynamics—such...
Understanding the onset and progression of Parkinson's disease through regulating mitochondrial dynamics focuses on the role of mitochondria in neurodegeneration. Mitochondria play a crucial role in cellular energy production and maintaining neuronal health. In Parkinson's disease, dysfunctional mitochondria contribute to oxidative stress and neuronal damage.
Research explores how controlling mitochondrial dynamics—such as fusion, fission, and mitophagy—can impact disease progression. By studying these processes, scientists aim to identify therapeutic targets that could preserve mitochondrial function and mitigate neurodegeneration. Insights into mitochondrial dynamics offer potential strategies for developing neuroprotective therapies, aiming to delay disease onset or slow its progression in Parkinson's patients. (Biological Sciences)
Artificial Intelligence Assisted Blockchain Enabled and Aadhaar Linked Electronic Medical Record Management and Tele-Consultation System
08/03/2023
Inventors: Vinay Chamola
An artificial intelligence-assisted, blockchain-enabled, and Aadhaar-linked electronic medical record management and tele-consultation system integrates advanced technologies to streamline healthcare services. This system utilizes AI algorithms for data analytics, facilitating efficient management of patient records and enabling personalized treatment recommendations. Blockchain ensures secure storage and access control of medical data, enhancing...
An artificial intelligence-assisted, blockchain-enabled, and Aadhaar-linked electronic medical record management and tele-consultation system integrates advanced technologies to streamline healthcare services. This system utilizes AI algorithms for data analytics, facilitating efficient management of patient records and enabling personalized treatment recommendations. Blockchain ensures secure storage and access control of medical data, enhancing patient privacy and data integrity. Aadhaar linkage provides unique patient identification, improving interoperability across healthcare providers. Tele-consultation features allow remote healthcare delivery, connecting patients with specialists regardless of geographic location. Together, these technologies optimize healthcare delivery, promote patient-centric care, and strengthen healthcare infrastructure through enhanced data security and accessibility. (EEE)
2D Nanosheet Materials of Metal Chalcogenides as a Potential SERS Active Substrate for Chemical and Biochemical Sensing
08/07/2023
Inventors: Surojit Pande
2D nanosheet materials of metal chalcogenides offer promising potential as Surface-Enhanced Raman Scattering (SERS) active substrates for chemical and biochemical sensing applications. These materials, such as transition metal dichalcogenides (TMDs) and metal oxides like MoS2 and WS2, exhibit large surface areas and unique electronic properties conducive to enhancing Raman signals...
2D nanosheet materials of metal chalcogenides offer promising potential as Surface-Enhanced Raman Scattering (SERS) active substrates for chemical and biochemical sensing applications. These materials, such as transition metal dichalcogenides (TMDs) and metal oxides like MoS2 and WS2, exhibit large surface areas and unique electronic properties conducive to enhancing Raman signals of adsorbed molecules.
Research focuses on synthesizing and characterizing these nanosheets to optimize their SERS performance, including tailoring their morphology, composition, and surface chemistry. By leveraging their plasmonic and electronic properties, 2D metal chalcogenides can detect trace amounts of molecules with high sensitivity and selectivity. This makes them valuable for various applications in environmental monitoring, biomedical diagnostics, and food safety. Continued advancements in nanomaterial synthesis and SERS characterization techniques further enhance their utility in sensitive chemical and biochemical sensing. (Chemistry)
Utilizing The Endogenous CRISPR-Cas System As An Anti-Pathogen Strategy Against Antimicrobial-Resistant Enteric Pathogens
09/01/2024
Inventors: Sandhya Marathe
Utilizing the endogenous CRISPR-Cas system as an anti-pathogen strategy against antimicrobial-resistant enteric pathogens involves enhancing bacterial immunity through genetic engineering. This approach employs CRISPR-Cas systems native to bacteria, enhancing their ability to target and cleave specific DNA sequences of antimicrobial-resistant pathogens. By designing CRISPR arrays targeting virulence factors or antibiotic...
Utilizing the endogenous CRISPR-Cas system as an anti-pathogen strategy against antimicrobial-resistant enteric pathogens involves enhancing bacterial immunity through genetic engineering. This approach employs CRISPR-Cas systems native to bacteria, enhancing their ability to target and cleave specific DNA sequences of antimicrobial-resistant pathogens. By designing CRISPR arrays targeting virulence factors or antibiotic resistance genes, bacteria can be programmed to disrupt pathogen survival mechanisms effectively.
The strategy includes developing delivery methods for CRISPR-Cas components into bacterial populations, optimizing their efficiency and specificity. This approach holds promise for combating antimicrobial resistance by providing an adaptable and targeted defense mechanism against enteric pathogens, potentially reducing infection rates and enhancing treatment outcomes. (Biological Sciences)
An In-Silico And In-Vitro Characterization Of Binding Affinity And Internalization Potential Of Indian SARS-CoV-2 Spike Protein Variants With hACE-2 And Identification Of Potential Small Molecules Hindering The Interaction
09/02/2022
Inventors: Shibasish Chowdhury
Characterizing the binding affinity and internalization potential of Indian SARS-CoV-2 spike protein variants with hACE-2 involves both in-silico and in-vitro approaches. Computational simulations analyze molecular interactions between spike proteins and hACE-2 receptors, predicting binding affinities and identifying key binding sites. Concurrently, in-vitro experiments validate these predictions, assessing actual protein-protein interactions...
Characterizing the binding affinity and internalization potential of Indian SARS-CoV-2 spike protein variants with hACE-2 involves both in-silico and in-vitro approaches. Computational simulations analyze molecular interactions between spike proteins and hACE-2 receptors, predicting binding affinities and identifying key binding sites. Concurrently, in-vitro experiments validate these predictions, assessing actual protein-protein interactions and internalization mechanisms.
Furthermore, the study screens potential small molecules that could inhibit spike protein interaction with hACE-2, using virtual screening and molecular docking techniques. By targeting critical interaction sites, researchers aim to develop therapeutic candidates that can mitigate viral entry and replication, contributing to COVID-19 treatment strategies. (Biological Sciences)
Study of Structural Behavior and Failure Characteristics of FRP-Concrete Composite Beams
09/05/2023
Inventors: S B Singh
The study of structural behavior and failure characteristics of FRP-concrete composite beams investigates how these materials interact under various loading conditions. Fiber-reinforced polymer (FRP) and concrete composites combine the high strength of FRP with the durability and stiffness of concrete, making them suitable for structural applications. Research focuses on analyzing...
The study of structural behavior and failure characteristics of FRP-concrete composite beams investigates how these materials interact under various loading conditions. Fiber-reinforced polymer (FRP) and concrete composites combine the high strength of FRP with the durability and stiffness of concrete, making them suitable for structural applications. Research focuses on analyzing load-carrying capacities, deflection patterns, and failure mechanisms such as delamination or concrete crushing. By conducting experiments and numerical simulations, engineers aim to optimize composite beam design, enhance structural performance, and ensure resilience against environmental factors like corrosion. This study informs building codes and standards, advancing construction practices for sustainable and resilient infrastructure. (Civil Engineering)
Biomass pellets/ Briquattes Assessment in Gujarat & Maharashtra States
09/08/2023
Inventors: Pratik Nitinchandra Sheth
Assessing biomass pellets and briquettes in Gujarat and Maharashtra states involves evaluating their potential as sustainable fuel sources. This assessment considers factors such as production capacity, feedstock availability (e.g., agricultural residues, forest biomass), energy content, emissions profile, and economic feasibility. Biomass pellets and briquettes offer renewable alternatives to fossil fuels,...
Assessing biomass pellets and briquettes in Gujarat and Maharashtra states involves evaluating their potential as sustainable fuel sources. This assessment considers factors such as production capacity, feedstock availability (e.g., agricultural residues, forest biomass), energy content, emissions profile, and economic feasibility. Biomass pellets and briquettes offer renewable alternatives to fossil fuels, contributing to energy security and reducing greenhouse gas emissions. Studies focus on optimizing production processes, assessing environmental impacts, and analyzing market demand. By promoting biomass utilization in industries and households, these states aim to diversify energy sources, mitigate air pollution, and support rural economies through biomass value chains. (Chemical Engineering)
Computational learning through context adaptation for effective and Efficient Agriculture
09/09/2022
Inventors: Sai Sesha Chalapathi Gattupalli
Computational learning through context adaptation aims to optimize agricultural practices by leveraging adaptive algorithms that analyze contextual data. These algorithms, often powered by machine learning and AI, process real-time environmental variables such as soil moisture, weather patterns, and crop health indicators. By adapting to changing conditions, they optimize irrigation schedules,...
Computational learning through context adaptation aims to optimize agricultural practices by leveraging adaptive algorithms that analyze contextual data. These algorithms, often powered by machine learning and AI, process real-time environmental variables such as soil moisture, weather patterns, and crop health indicators. By adapting to changing conditions, they optimize irrigation schedules, fertilizer application, and pest management strategies. This approach enhances efficiency by minimizing resource wastage and maximizing yield potential. Through continuous learning from data feedback loops, these systems improve decision-making accuracy, promoting sustainable farming practices and resilience to environmental changes. This integration of computational learning enhances agricultural productivity while reducing ecological footprint. (EEE)
Systematic Study Towards the Development of Stimuli Responsive Noncanonical Peptide-Based Optical Probes (NcPOPs) Targeting Important Biomarkers (Chemistry)
09/09/2022
Inventors: Partha Sarathi Addy
A systematic study towards the development of stimuli-responsive noncanonical peptide-based optical probes (NcPOPs) targeting important biomarkers involves designing peptides that change their optical properties in response to specific biological stimuli. This research focuses on synthesizing and characterizing peptide sequences that bind selectively to biomarkers such as proteins or enzymes associated...
A systematic study towards the development of stimuli-responsive noncanonical peptide-based optical probes (NcPOPs) targeting important biomarkers involves designing peptides that change their optical properties in response to specific biological stimuli. This research focuses on synthesizing and characterizing peptide sequences that bind selectively to biomarkers such as proteins or enzymes associated with diseases. The probes are engineered to exhibit fluorescence or absorbance changes when bound to their target, enabling sensitive detection and imaging in biological samples. By optimizing peptide design, stability, and responsiveness, scientists aim to develop versatile tools for biomedical research, diagnostics, and therapeutic monitoring, advancing precision medicine and personalized healthcare approaches.
SERB: Knowledge-Rich Optimization 2017
16/05/2017
Inventors: Ashwin Srinivasan
The project EMR/2016/00266 "Knowledge-Rich Deep Models for Optimization" concerned the use of symbolic background knowledge to accelerate the identification of near-optimal solutions for difficult optimisation problems. The project ended in 2020 and the sanction amount was INR 2,250,290....
The project EMR/2016/00266 "Knowledge-Rich Deep Models for Optimization" concerned the use of symbolic background knowledge to accelerate the identification of near-optimal solutions for difficult optimisation problems. The project ended in 2020 and the sanction amount was INR 2,250,290.
Uniform Stabilization of Numerical Approximations of Wave Equations
19/02/2024
Inventors: Anil Kumar, P. Dhanumjaya and Amiya K. Pani
An Institute of Eminence
