Kuldeep Vinchurkar

Sandip Foundation

Author Statistics

Papers

Citation

H-Index

i-10 index

Research Trends

Author Order

Document Type

Co-Authors

Sheetal Mane

National Institute of Food Technology Entrepreneurship and Management

Rohit Doke

Savitribai Phule Pune University

Ankita Bhadoriya

Indian Institute of Management Indore

Jitendra Sainy

Devi Ahilya Vishwavidyalaya

Neelam Balekar

IPS Academy

Dinesh Kumar Mishra

Guru Ghasidas Vishwavidyalaya

Meghraj Suryawanshi

Savitribai Phule Pune University

Sudarshan Singh

Chiang Mai University

Tejas S. Pachpute

Sunrise University

Priya Jain

All India Institute of Medical Sciences

Cooperative Institutions

Devi Ahilya Vishwavidyalaya

Manipal Academy of Higher Education

IPS Academy

Shri Vile Parle Kelavani Mandal

Indian Institute of Management Indore

National Institute of Pharmaceutical Education and Research

Savitribai Phule Pune University

Dr. D. Y. Patil Medical College, Hospital and Research Centre

American Pharmacists Association

Institute of Organic Chemistry

Author Statistics

Papers

Citation

H-Index

i-10 index

Research Field

Regulatory Insights into Artificial Intelligence in Drug Delivery and Medical Devices

BENTHAM SCIENCE PUBLISHERS eBooks (2024)

Nayany Sharma Rekha Bisht Rupali Sontakke Kuldeep Vinchurkar

The pharmaceutical industry is grappling with challenges that impede the sustainability of drug development programs, primarily due to escalating research and development costs coupled with diminishing efficiency. This chapter explores the potential of leveraging artificial intelligence (AI), particularly machine learning (ML) and its subset, deep learning (DL), to bring about a transformative impact on the drug development process. ML, characterized by its capacity to learn from data with or without explicit programming, holds promise for addressing the complexities inherent in pharmaceutical research. DL, employing artificial neural networks (ANNs) as a multi-objective simultaneous optimization technique, has demonstrated efficacy in optimizing drug delivery systems. AI has the potential to transform drug discovery, clinical trials, drug delivery, and medical devices, emphasizing alignment with regulatory guidelines. However, challenges such as data quality and model complexity limit its transformative impact on medicine delivery and device development. This chapter is structured into three parts, each addressing a distinct aspect of AI in the pharmaceutical landscape. The first part provides a foundational introduction to AI in the pharmaceutical industry, elucidating its role in overcoming inherent challenges. The second part delves into the diverse applications of AI-based tools and systems, encompassing drug discovery, various drug delivery systems, and the development of medical devices. Finally, the third part of the chapter sheds light on the regulatory challenges associated with AI-based drug delivery and medical device development, offering insights into the evolving regulatory landscape.

10.2174/9789815305753124010012

Cite

Citations (0)

Nanofabrication of Losartan Potassium Sustained Release Floating Microspheres using Different Grades of Ethyl Cellulose and its Insight on Release Profiles

Current Pharmaceutical Design (2024)

Tanavirsing Rajput Popat Mohite Santosh Ghule Kuldeep Vinchurkar Sudarshan Singh

Introduction: A sustained release system for losartan potassium designed to delay its residence time in the stomach through the preparation of solvent evaporation technique-based floating microspheres. The influence of the different grades of Ethocel™ such as 4 cps, 10 cps, and 22 cps as well as the drug: polymer ratio on various properties of microspheres were tested. Methods: Thermal and functional analysis revealed no interaction between the encapsulated drug and polymer. The results indicated that the mean diameter of microspheres increased with a change in grades of ethyl cellulose relating to viscosity. However, the drug incorporation efficiency within ethyl cellulose microspheres decreased with increasing viscosity of ethyl cellulose. Results: The bulk density of the formulations was proportionally dependent on concentration and the viscosity of the polymer, which resulted in a decrease in floating capacity from 90.02% to 73.58%. Moreover, the drug release was indirectly proportional to the viscosity of ethyl cellulose tested. The in vitro release profile exhibited a burst effect with a biphasic release pattern following Fickian diffusion, indicating a diffusioncontrolled release mechanism. Conclusion: The results demonstrated that the viscosity of ethyl cellulose significantly affects the floating capacity and drug release pattern from microspheres.

Losartan Potassium

10.2174/0113816128309675240530060752

Cite

Citations (1)

Smart healthcare: Artificial intelligences impact on drug development and patient care

Intelligent Pharmacy (2025)

Sachin Mendhi Krutika Sawarkar Amruta Shete Kuldeep Vinchurkar Sachin S. Mali

10.1016/j.ipha.2025.01.003

Cite

Citations (0)

Features and Facts of a Gastroretentive Drug Delivery System-A Review

Turkish Journal of Pharmaceutical Sciences (2022)

Kuldeep Vinchurkar Jitendra Sainy MASHEER AHMED KHAN Sheetal Mane Dinesh Kumar Mishra

English oral delivery of drug was the commonly used modality because of patient compliance and ease of administration. After oral administration of any drug, its bioavailability is affected by its residence time in stomach. Recently, gastroretentive drug delivery systems (GRDDS) have gained wide acceptance for drugs with a narrow absorption window, decreased stability at high alkaline pH, and increased solubility at low pH. This approach develops a drug delivery system, which gets retained within gastric fluid, thereby releasing its active principles in the stomach. Some methods used to achieve gastric retention of drugs include the use of effervescence agents, mucoadhesive polymers, magnetic material, bouncy enhancing excipient, and techniques that form plug-like devices that resist gastric emptying. This review provides a concise account of various attributes of recently developed approaches for GRDDS.

Excipient

Patient Compliance

10.4274/tjps.galenos.2021.44959

Cite

Citations (33)

List of contributors

Elsevier eBooks (2024)

Juber Akhtar Wasim Akram Rajasekhar Reddy Alavala Bahareh Alizadeh Makka Krupali Ashokbhai

10.1016/b978-0-443-13774-7.00024-4

Cite

Citations (0)

Micro Needling: A Review of the Literature, A Novel Treatment Strategy for Androgenetic Alopecia

Nanomedicine & Nanotechnology Open Access (2023)

Kuldeep Vinchurkar

The inherited condition known as androgenetic alopecia (AGA) causes hair to become thinner. In both men and women, it is the most prevalent kind of alopecia. Numerous therapy techniques have been researched in recent years, but only topical minoxidil and finasteride have received US Food and Drug Administration approval. A minimally invasive procedure called microneedling (MN) promotes the creation of growth factors, neovascularization, and collagen. In spite of MN hasn't been the subject of many studies in alopecia, but it's still a promising treatment therapeutic option, but there isn't a standardised strategy treating MN hair loss not yet proposed. The evidence available now is insufficient to provide a direct comparison with Despite showing potential to improve hair quality, thickness, and density in comparison to alternative treatments of hair, especially when used as a medication or in conjunction with other therapies delivery mechanism. The purpose of this article is to review the literature that is currently accessible on use of MN either by itself or in combination with other treatments to treat androgenetic alopecia.

Minoxidil

Dry Needling

10.23880/nnoa-16000258

Cite

Citations (1)

Materials Sustainability in the Pharmaceutical Industry

Sustainability & Circularity NOW (2024)

Ankita Bhadoriya Bhushan D. Patil Sheetal Mane Kuldeep Vinchurkar Parambath Anilkumar

Sustainable materials development is becoming crucial in the pharmaceutical industry due to the significant environmental impacts of medications across their life cycle. While early production stages have seen efforts to minimize these effects, reducing environmental impacts from drug consumption and disposal remains challenging. Growing environmental concerns and regulatory requirements are pressuring the industry to adopt sustainable practices. Material sustainability, which emphasizes responsible resource use and minimal environmental impact, is a key focus. Strategies include green chemistry principles to reduce hazardous substances and waste during drug development and manufacturing. Additionally, biodegradable materials and eco-friendly packaging designs are gaining traction to lessen landfill and ecosystem impacts. Despite progress, challenges such as complex regulatory frameworks and the need for stakeholder collaboration persist. This review examines materials sustainability in the pharmaceutical industry, highlighting its shift toward environmentally responsible practices driven by innovation and regulation. It investigates current environmental initiatives, perspectives, and strategies to address environmental challenges. Achieving sustainability requires a holistic, integrated approach involving all aspects of the business, from supply chain management to product development. By prioritizing sustainability, the pharmaceutical industry can contribute to global climate goals, ensuring its resilience and long-term success.

10.1055/a-2460-4207

Cite

Citations (1)

3D PRINTING: A REVIEW

Journal of Harmonized Research in Pharmacy (2018)

Shubham Bairagi Kuldeep Vinchurkar Rahul Kushwah Neelam Balekar

10.30876/johr.7.4.2018.98-104

Cite

Citations (1)

An Overview of Artificial Intelligence (AI) In Drug Delivery and Development

BENTHAM SCIENCE PUBLISHERS eBooks (2024)

Rakesh E. Mutha Vishal S. Bagul Rahul S. Tade Kuldeep Vinchurkar

The integration of Artificial Intelligence (AI) into pharmaceutical research represents a transformative leap in drug development, addressing the challenges posed by complex diseases and traditional methodologies. In this comprehensive overview, we explore the historical evolution of AI's role in pharmaceutical research and its crucial importance in drug delivery and development. The foundational elements of AI in drug delivery and development are elucidated through an in-depth analysis of machine learning (ML) algorithms, deep learning techniques, and natural language processing in bioinformatics. These form the bedrock for understanding the subsequent chapters that unravel the emerging roles of AI in drug discovery, formulation, and delivery. An insightful examination of drug repurposing and interaction reveals AIdriven strategies, providing new therapeutic avenues. The chapters further unravel AI's impact on pharmacokinetics, pharmacodynamics, and its data-driven approaches for dose optimization. Clinical trials and patient recruitment witness a revolution through AI, optimizing design and ensuring regulatory compliance and safety. This chapter promises a holistic understanding of the symbiotic relationship between AI and pharmaceuticals, offering a roadmap for innovation and efficiency in the pursuit of advanced healthcare solutions.

10.2174/9789815305753124010004

Cite

Citations (0)

Spreadsheet Validation: A Detailed Review

Nanomedicine & Nanotechnology Open Access (2023)

Kuldeep Vinchurkar

Spreadsheet validation is a critical process for ensuring data accuracy and integrity in various domains, such as finance, research, and project management. As spreadsheets continue to be widely used for data analysis and decision-making, the need to validate their contents becomes paramount. It explores various techniques and best practices for validating spreadsheets, including formula auditing, data consistency checks, range validation, and error handling mechanisms. To address these concerns, this sheet delivers components of spreadsheet validation, including establishing robust validation processes, implementing appropriate controls, and ensuring proper documentation. It discusses the importance of validating formulas, data input, cell references, and data transformations to mitigate risks and maintain accurate results. This review explores the significance of spreadsheet validation in achieving ALCOA compliance. It highlights the challenges associated with spreadsheets as a commonly used tool for data management, including the potential for errors, data corruption, and lack of version control. The review also examines the potential consequences of non-compliance, such as regulatory penalties, compromised data integrity, and damaged reputations.

Data validation

Data integrity

10.23880/nnoa-16000275

Cite

Citations (1)