Vikas Agarwal

Prof. Dr. Vikas Agarwal

Sanjay Gandhi Postgraduate Institute of Medical Sciences Lucknow, Lucknow, India
orcid

Research Focus & Metrics

Academic Career Length

24Years (2003-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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9 December 2022 in Healthcare
Verified
Journal Article
Open access
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NKNarendra N. Khanna
Narendra N. Khanna
Mahesh A MaindarkarMahesh A Maindarkar
Mahesh A Maindarkar
VVVijay Viswanathan
Vijay Viswanathan
JFJosé Manuel Mattos Fernandes e Fernandes
José Manuel Mattos Fernandes e Fernandes
SPSudip Paul
Sudip Paul
JSJasjit S. Suri
Jasjit S. Suri
Motivation: The price of medical treatment continues to rise due to (i) an increasing population; (ii) an aging human growth; (iii) disease prevalence; (iv) a rise in the frequency of patients that utilize health care services; and (v) increase in the price. Objective: Artificial Intelligence (AI) is already well-known for its superiority in various healthcare applications, including the segmentation of lesions in images, speech recognition, smartphone personal assistants, navigation, ride-sharing apps, and many more. Our study is based on two hypotheses: (i) AI offers more economic solutions compared to conventional methods; (ii) AI treatment offers stronger economics compared to AI diagnosis. This novel study aims to evaluate AI technology in the context of healthcare costs, namely in the areas of diagnosis and treatment, and then compare it to the traditional or non-AI-based approaches. Methodology: PRISMA was used to select the best 200 studies for AI in healthcare with a primary focus on cost reduction, especially towards diagnosis and treatment. We defined the diagnosis and treatment architectures, investigated their characteristics, and categorized the roles that AI plays in the diagnostic and therapeutic paradigms. We experimented with various combinations of different assumptions by integrating AI and then comparing it against conventional costs. Lastly, we dwell on three powerful future concepts of AI, namely, pruning, bias, explainability, and regulatory approvals of AI systems. Conclusions: The model shows tremendous cost savings using AI tools in diagnosis and treatment. The economics of AI can be improved by incorporating pruning, reduction in AI bias, explainability, and regulatory approvals.

20 December 2016 in Arthritis Research & Therapy
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Journal Article
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PGPawan Kumar Gupta
Pawan Kumar Gupta
ACAnoop Chullikana
Anoop Chullikana
MRMathiyazhagan Rengasamy
Mathiyazhagan Rengasamy
NSNaresh Shetty
Naresh Shetty
VPVivek Pandey
Vivek Pandey
AMAnish Sen Majumdar
Anish Sen Majumdar
Osteoarthritis (OA) is a common and debilitating chronic degenerative disease of the joints. Currently, cell-based therapy is being explored to address the repair of damaged articular cartilage in the knee joint. The in vitro differentiation potential of adult human bone marrow-derived, cultured, pooled, allogeneic mesenchymal stromal cells (Stempeucel®) was determined by differentiating the cells toward the chondrogenic lineage and quantifying sulfated glycosaminoglycan (sGAG). The mono-iodoacetate (MIA)-induced preclinical model of OA has been used to demonstrate pain reduction and cartilage formation. In the clinical study, 60 OA patients were randomized to receive different doses of cells (25, 50, 75, or 150 million cells) or placebo. Stempeucel® was administered by intra-articular (IA) injection into the knee joint, followed by 2 ml hyaluronic acid (20 mg). Subjective evaluations—visual analog scale (VAS) for pain, intermittent and constant osteoarthritis pain (ICOAP), and Western Ontario and McMaster Universities Osteoarthritis (WOMAC-OA) index—were performed at baseline and at 1, 3, 6, and 12 months of follow-up. Magnetic resonance imaging of the knee was performed at baseline, and at 6 and 12 months follow-up for cartilage evaluation. Stempeucel® differentiated into the chondrogenic lineage in vitro with downregulation of Sox9 and upregulation of Col2A genes. Furthermore, Stempeucel® differentiated into chondrocytes and synthesized a significant amount of sGAG (30 ± 1.8 μg/μg GAG/DNA). In the preclinical model of OA, Stempeucel® reduced pain significantly and also repaired damaged articular cartilage in rats. In the clinical study, IA administration of Stempeucel® was safe, and a trend towards improvement was seen in the 25-million-cell dose group in all subjective parameters (VAS, ICOAP, andWOMAC-OA scores), although this was not statistically significant when compared to placebo. Adverse events were predominant in the higher dose groups (50, 75, and 150 million cells). Knee pain and swelling were the most common adverse events. The whole-organ magnetic resonance imaging score of the knee did not reveal any difference from baseline and the placebo group. Intra-articular administration of Stempeucel® is safe. A twenty-five-million-cell dose may be the most effective among the doses tested for pain reduction. Clinical studies with a larger patient population are required to demonstrate a robust therapeutic efficacy of Stempeucel® in OA. Clinicaltrials.gov NCT01453738 . Registered 13 October 2011.

10 April 2020 in Clinical Rheumatology
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Durga Prasanna MisraDurga Prasanna Misra
Durga Prasanna Misra
VAVikas Agarwal
Vikas Agarwal
AGArmen Yuri Gasparyan
Armen Yuri Gasparyan
OZOlena Zimba
Olena Zimba

1 January 2020 in Journal of Korean Medical Science
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LGLatika Gupta
Latika Gupta
AGArmen Yuri Gasparyan
Armen Yuri Gasparyan
Durga Prasanna MisraDurga Prasanna Misra
Durga Prasanna Misra
VAVikas Agarwal
Vikas Agarwal
OZOlena Zimba
Olena Zimba
MYMarlen Yessirkepov
Marlen Yessirkepov
Gupta L, et al. J Korean Med Sci. 2020 May;35(27):e256. https://doi.org/10.3346/jkms.2020.35.e256

10 September 2010 in Rheumatology
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Journal Article
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PSPadmanabha D. Shenoy
Padmanabha D. Shenoy
SKSudeep Kumar
Sudeep Kumar
LJLalan K. Jha
Lalan K. Jha
SCSunil K. Choudhary
Sunil K. Choudhary
USUttam Singh
Uttam Singh
VAVikas Agarwal
Vikas Agarwal
Objective. To evaluate the efficacy of tadalafil as add-on therapy in secondary RP resistant to vasodilators.

15 December 2007 in Clinical Rheumatology
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Journal Article
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VAVikas Agarwal
Vikas Agarwal
RSRam Singh
Ram Singh
WIWiclaf
Wiclaf
SCSandeep Chauhan
Sandeep Chauhan
ATAnita Tahlan
Anita Tahlan
LPLily Pal
Lily Pal