Multidisciplinary, Physical Therapy, Sports Therapy and Rehabilitation, Anatomy, Orthopedics and Sports Medicine
21
Scopus Publications
66
Scholar Citations
4
Scholar h-index
2
Scholar i10-index
Scopus Publications
Somatotype, metabolic features, and psychological distress in women with polycystic ovary syndrome: a case–control study Vijayakumar K, Rajesh Karekar, Pranavi Sharma BMC Women S Health, 2026 PCOS is a heterogeneous endocrine–metabolic disorder often associated with psychological distress. Changes in somatotype exist in women with PCOS; however, detailed somatotype patterns and associations between somatotypes and various psychological, metabolic, and hormonal characteristics have not been studied sufficiently. This study aimed to assess somatotype components in women with PCOS compared to normal age-matched controls and the relationship between somatotype, psychological distress, and metabolic-hormonal parameters. This case–control study included 200 women aged 18–35 years, including 100 patients with PCOS (diagnosed using the Rotterdam criteria) and 100 age-matched controls. Anthropometric measurements, somatotype classification using the Heath–Carter method, psychological evaluation using the Depression Anxiety Stress Scales–21 (DASS-21), and biochemical profile and hormone analysis were performed in all participants. Intergroup differences were compared using Welch’s t-test. Correlation analyses were performed for the individual components of somatotype with psychological variables using Pearson’s correlation and multiple linear regression analyses. A descriptive penalized logistic regression model was used to test the discriminatory potential of a combination of anthropometric, somatotype, and psychological variables. Women with PCOS had significantly increased endomorphy (7.21 vs. 5.48) and mesomorphy (4.83 vs. 4.23), and decreased ectomorphy (2.02 vs. 2.78) compared to controls (all p < 0(.)001). The mean PSQI [depression, anxiety, and stress] scores were significantly higher in the PCOS group than in the control group, while fasting glucose, luteinizing hormone, and testosterone levels were significantly higher than those in the normal cohort (all P < 0.001). Endomorphy was significantly positively correlated with depression (r = 0.80), anxiety (r = 0.79), and stress (r = 0.75), and ectomorphy was negatively associated with depression (r = − 0.65) and stress (r = − 0.43). Endomorphy was an independent correlate of psychological distress in women with PCOS in multivariate analyses. The exploratory discrimination model exhibited good separation between the PCOS and control groups. The current novel findings reveal a specific somatotype profile characterized by higher endomorphy and mesomorphy and lower ectomorphy in women with PCOS. Endomorphy is associated with increased psychological distress and metabolic and hormonal disturbances. This study revealed the significant relationship between somatotype dimensions in PCOS, particularly endomorphy, and psychological symptoms. Further follow-up and multi-institutional studies are necessary to clarify the sequence and timing of these associations.
Advanced terahertz metamaterial sensor for biomedical diagnostics featuring multi-material coupling, graphene control, and predictive AI models D.S. Shaji, P. Manikandan, K. Vijayakumar, Harishchander Anandaram, R. Dhivya Results in Optics, 2026 Terahertz (THz) metamaterial biosensors have emerged as promising platforms for non-invasive and label-free biomedical diagnostics due to their strong electromagnetic field confinement and spectral sensitivity. However, existing designs often suffer from limited tunability, moderate quality factors, and insufficient sensitivity for detecting low-concentration biomarkers. In this work, a high-performance multi-material terahertz metasurface sensor is proposed, operating within the 0.1–0.75 THz frequency range for advanced biomedical sensing applications. The proposed architecture integrates graphene with silver, gold, and carbon nanotube (CNT)-based resonators arranged in a quadrantal symmetric configuration, enabling strong electromagnetic coupling and enhanced field localization. Dynamic tunability is achieved by varying the graphene chemical potential from 0.1 to 0.9 eV. Numerical simulations performed using COMSOL Multiphysics demonstrate stable operation up to an incident angle of 80°, with improved impedance matching and quality factors exceeding 3.0. The sensor exhibits high refractive index sensitivities of up to 600 GHz/RIU for malaria biomarker detection and 200 GHz/RIU for alcohol sensing, along with a minimum detection limit of approximately 0.312 RIU. Furthermore, an XGBoost-based machine learning model is employed to predict sensor responses under varying refractive index, chemical potential, and angular conditions, achieving prediction accuracies exceeding 94%. The proposed design demonstrates strong potential for point-of-care diagnostics and early disease detection, supporting the development of intelligent, high-sensitivity terahertz biosensing systems aligned with sustainable healthcare objectives.
High sensitivity terahertz metasurface biosensor integrating plasmonic coupling and machine learning for wearable diabetes monitoring K. Vijayakumar, S. Karthikeyan, Harishchander Anandaram, K.V. Soumya, Jonas Muheki Sensing and Bio Sensing Research, 2026 This study presents a novel terahertz (THz) metasurface biosensor for highly sensitive and non-invasive glucose detection. Comprehensive finite element method (FEM) simulations performed using COMSOL Multiphysics demonstrate exceptional sensing performance, achieving a maximum sensitivity of 2000 GHz/RIU over a refractive index range of 1.335–1.347, corresponding to physiological glucose concentration variations. The proposed sensor exhibits a high figure of merit (FOM) of 44.444 RIU −1 , a quality factor (Q) of 6.244 and stable operation within the 0.27–0.31 THz frequency band with a tunability of 50 GHz. The sensing mechanism is driven by strong plasmonic coupling and enhanced electromagnetic field confinement arising from the hybrid integration of graphene, silver and gold resonators. To further validate the robustness of the sensing response, a machine learning–based predictive model is employed, yielding high prediction accuracy with R 2 values ranging from 84% to 100% across incident angles from 0° to 80°. Compared to conventional invasive glucose monitoring techniques, the proposed label-free optical biosensor offers superior sensitivity, real-time response and improved patient comfort. These results highlight the strong potential of the proposed THz metasurface platform for future wearable glucose monitoring and point-of-care diabetes management systems.
Multimetallic graphene-coated THz metasurface biosensor for high-sensitivity hCG detection in pregnancy testing: A simulation study K. Vijayakumar, S. Subha, N.K. Anushkannan, Kumaravel Kaliaperumal, U. Arun Kumar Sensors International, 2026 Conventional pregnancy testing methods face significant limitations including low sensitivity, cross-reactivity issues, and requirement for sophisticated laboratory equipment, particularly in resource-limited settings. This research introduces an innovative terahertz (THz) biosensor using a graphene-metallic hybrid metasurface architecture to improve pregnancy detection by optical sensing of human chorionic gonadotropin (hCG) indicators. The sensor demonstrates remarkable performance with a maximum sensitivity of 1000 GHz/RIU achieved at the optimal resonant frequency of 0.309 THz within the 0.1–0.55 THz frequency band, corresponding to a refractive index of 1.343 RIU. The frequency-dependent sensitivity analysis reveals that the maximum sensitivity of 1000 GHz/RIU is achieved at 0.309 THz, where the electromagnetic field enhancement reaches its peak value. This optimal operating point corresponds to the fundamental resonance mode of the hybrid metasurface structure, where the coupling between the central graphene resonator and the surrounding metallic rings creates the strongest field localization. The sensitivity decreases progressively at frequencies away from this resonant peak, with values of 500 GHz/RIU at 0.310 THz and 200 GHz/RIU at 0.311 THz, demonstrating the critical importance of precise frequency tuning for optimal sensor performance. Comparative analysis shows competitive or superior performance against existing biosensor designs, offering significant potential for point-of-care pregnancy testing applications with enhanced sensitivity, real-time detection capability, and reduced sample preparation requirements. • Graphene-coated circular THz resonator with four multimetallic rings enhances plasmonic sensing response. • Achieves 1000 GHz/RIU sensitivity and high figure of merit of 40 RIU −1 for superior detection performance. • Strong linear R² = 0.88947 correlation ensures accurate refractive index sensing with reliable frequency shifts. • Low detection limit of 0.0373 RIU with stable resonance linewidth (FWHM = 0.0250 THz) enables precision sensing. • Practical for portable, point-of-care pregnancy tests; validated via EM modeling and graphene Kubo conductivity.
Enhancing behavioral intentions toward body donation through a theory of planned behavior-based, culturally tailored educational intervention: a quasi-experimental study Vijayakumar K., Mandar Ambike, Sulakshana Sawant, Shreya Singh BMC Public Health, 2025 BACKGROUND: Body donation remains crucial for medical education and research, yet donor shortages persist worldwide, often due to limited awareness and cultural barriers. The Theory of Planned Behavior (TPB) offers a robust framework to understand and influence donation intentions. This study evaluates the efficacy of a culturally sensitive, TPB-based educational intervention aimed at enhancing behavioral determinants related to body donation among adults in India. METHODS: A quasi-experimental pre-post design was employed with 163 adult participants. The multi-component intervention included multimedia educational materials, peer discussions, motivational media, and practical guidance on registration. Participants completed a validated, bilingual TPB questionnaire assessing knowledge, attitudes, subjective norms, perceived behavioral control, and behavioral intentions immediately before and after the intervention. Statistical analyses involved paired-sample t-tests to compare pre- and post-intervention scores, multiple linear regression to identify predictors of behavioral intention, and subgroup analyses examining sociodemographic influences. RESULTS: Post-intervention assessments revealed statistically significant improvements across all TPB constructs (all p < 0.001). Knowledge increased markedly from a mean score of 2.7 to 3.8 (on a 0-4 scale), corresponding to a large effect size (Cohen's d = 1.25). Attitude, subjective norms, and perceived behavioral control all showed medium effect sizes (d = 0.65-0.70). Multiple regression indicated that attitude (β = 0.40, p < 0.001), subjective norms (β = 0.32, p < 0.01), and perceived behavioral control (β = 0.26, p < 0.01) were independent predictors of post-intervention intention, jointly explaining 52% of the variance (R² = 0.52). Notably, willingness or intention to donate increased to 66% post-intervention, with higher readiness observed among participants with prior knowledge, urban residence, male gender, higher education, and older age. CONCLUSION: The TPB-based, culturally tailored educational intervention effectively enhanced knowledge and psychosocial determinants of body donation intention among Indian adults. These findings underscore the potential of theory-driven, culturally adapted programs to increase readiness for body donation, offering scalable strategies to address donor shortages in diverse cultural contexts globally.
A multilayer WSe₂–graphene plasmonic architecture for polarization-insensitive and machine learning–optimized glucose detection in the terahertz regime K. Vijayakumar, Kumaravel Kaliaperumal, S. Sasikala, Harishchander Anandaram, U. Arun Kumar Sensing and Bio Sensing Research, 2025 The development of advanced biosensing technologies has been prompted by the increasing global diabetes prevalence and the necessity for non-invasive glucose monitoring in real-time. These technologies surpass the limitations of classic enzymatic and electrochemical methods. This study presents a glucose biosensor utilizing a multilayer plasmonic architecture integrated with tungsten diselenide (WSe₂) and graphene hybrid coatings. The designed sensor features a central circular resonator (2.1 μm in diameter) surrounded by square resonators (1.8 μm) coated with WSe₂ and enclosed by graphene-coated rectangular resonators (12 μm × 0.5 μm) on a glass substrate. COMSOL Multiphysics simulations indicate that the proposed design achieves a sensitivity of 1000 GHz/RIU throughout the refractive index range of 1.335–1.347 RIU, beyond the capabilities of most existing glucose detection techniques. The sensor demonstrates its peak response at 0.195 THz, where the electric field is highly localized at the resonator-dielectric interfaces, thereby amplifying analyte interaction. Subsequent optimization using a K-nearest regressor (KNR) machine learning model confirms both angular resilience and predictive reliability, resulting in coefficient of determination (R 2 ) values above 0.999. The integration of 2D materials (WSe₂ and graphene) provides tunable optical properties through chemical potential modulation, while the polarization-insensitive design ensures measurement reliability across varying operational conditions. All reported results are obtained through numerical simulation using COMSOL Multiphysics, providing a theoretical foundation for future experimental realization.
End-To-End Anomaly Detection of Service Function Chains in Cloud-Native Systems Using a Self-Guided Quantum Generative Adversarial Network N. Ashokkumar, N. Suma, R. Kiruthikaa, K. Vijayakumar, C. Thilagavathi Internet Technology Letters, 2025 Cloud‐native technology enables Network Functions Virtualization (NFV) to dynamically provide and deploy network services in the Industrial Internet of Things (IIoT). However, compared to traditional hardware solutions, Service Function Chains (SFCs) are more vulnerable to faults in complex and dynamically changing cloud environments, requiring advanced anomaly detection techniques. Existing methods often struggle with accuracy, scalability, and efficiency in such environments, particularly due to high false positive rates (up to 15%) and poor adaptability to rapid scaling and latency‐sensitive operations. This paper proposes a new Self‐Guided Quantum Generative Adversarial Network with Puma Optimizer (SGQGANet‐PO) for cloud‐native SFC anomaly detection. The model benefits from the FullSight Dataset, beginning with Min‐Max Normalization (MMN) for uniform feature scaling and Fast Pure Transformer Network (FPTN) for fast text feature extraction. SGQGANet‐PO is based on quantum‐inspired methods and is optimized with the Puma Optimizer to improve the robustness and convergence of the model. The method proposed has an accuracy of 99.76%, a precision of 99.5%, recall of 97.8%, F1‐score of 98.6%, and an extremely low 0.24% error rate. The outcome shows better performance than other methods, providing a safe method for anomaly detection in cloud‐native systems.
Automated Classification of Normal Histological Tissues Using Convolution neural network: A ResNet-50-Based Educational Tool , M. Haripriya, Sharad Gavhane, , K.Vijayakumar, and International Journal of Anatomy and Research, 2025 Background: The process of identifying histological slides is an essential part of medical education and pathology. AI tools can perform a decent job in radiology and dermatopathology, but the gap for fully automated, multi-class histological tissue classification is significant for teaching and learning purposes. Aim: To create and validate a deep learning system developed on 13 categories of normal human fine tissue using Convolutional Neural Networks (CNN) to aid in extended histology education and non-diagnostic digital pathology. Methods: This is a developmental diagnostic accuracy study with an experimental computational design. A total of 3250 high-resolution, expert-annotated images depicting 13 different normal histological tissue types. Training (70%), validation (15%), and testing (15%) sets were split from the dataset. The remaining methods fine-tuned three CNN architectures: ResNet-50, EfficientNet-B0, and MobileNetV2. Results: The performance results ranking for ResNet-50 was better overall among the three models, with an overall accuracy, precision, recall, and F1-score of 94. 2%, 93. 8%, 93. 5%, and 93. 6% in the test set, respectively. The accuracies of EfficientNet-B0 and MobileNetV2 were 91.7% and 89.3%, respectively. Conclusion: The proposed ResNet-50-based CNN model has high accuracy in diagnosing normal histological tissues and can be a useful training tool for medical and paramedical students. This study fills a crucial void by offering an automated, scalable, and explainable system for histological image classification, with a high potential for integration into digital learning devices. KEYWORDS: Histology, Deep Learning, ResNet-50, Convolutional Neural Networks, Digital Pathology, Medical Education.
Implementation of Case-Based Learning in 1st-Year MBBS Students-Future of Medical Professionals Learning Methods in Indian Medical Colleges? MV Ambike, JS Kharche, SS Kulkarni, TV Sagar, K Vijayakumar, ... Journal of Pharmacy and Bioallied Sciences 16 (Suppl 4), S3449-S3451 , 2024 2024.0 Citations: 3
The Efficacy Of Online Physiotherapy Management In Improving Mental And Physical Health Among The Patients With Covid – 19. AR S. Vijayakumar, K.Vijayakumar IOSR Journal of Dental and Medical Sciences (IOSR-JDMS) 23 (2), 48 , 2024 2024.0
Acetone Reclamation: An Affordable and Practical Approach to Recycle Impure Acetone from Plastination K. Vijayakumar, S. Vijayakumar, M. Haripriya Int J Anat Res. 12 (1), 8815 , 2024 2024.0
Effects of Kegel and General Fitness Exercises in Reducing the Severity of Urinary Incontinence-An Interventional Study. K Vijayakumar, DKS Dixit, S SunDaraSamy Journal of Clinical & Diagnostic Research 17 (7) , 2023 2023.0 Citations: 3
An Analysis of Foot Morphology Using a Self-Designed Foot Scanner in Preparing Custom-Made Footwear: An Anatomical Approach. K. Vijayakumar,T. Vijayasagar, Pal P Int J Anat Res. 11 (3), 8699 , 2023 2023.0
Comparative Morphological and Morphometrical Analysis of Atrio-Ventricular Valves of Human and Porcine. MN Supadevi S, Vijaykumar K, Supasakthi S Int J Anat Res. 11 (1), 8559 , 2023 2023.0
A descriptive cross-sectional study to assess knowledge regarding brain death among health professionals in India VK Bharambe, K Vijayakumar, VK Arunprasad, S Methepatil, S Jadhav, ... Indian Journal of Transplantation 17 (1), 55-60 , 2023 2023.0 Citations: 1
A Cost-Effective Novel Method of Preparing Plastinated Specimens of Brain K Vijayakumar, M Ambike, D Dixit Int J Anat Res 11 (2), 8640-44 , 2023 2023.0
Effects of Therapeutic Weight Loss Exercises on Obese Individuals with Lumbar Hyperlordosis (LHL) and Excessive Anterior Pelvic Tilt (EAPT) K Vijayakumar, S Senthilkumar, D Dineshkumar Journal of Pharmaceutical Research International 33 (43A), 138-142 , 2021 2021.0 Citations: 3
Effects of Kegels Exercises and Fitness Exercises in Improving the Stress, Urge or Mixed Urinary Incontinence (UI) Among the Elderly Seniors Using an Adult Urinary Diaper Pad … K Vijayakumar, SB Kondaveeti, S Chandratre, D Dineshkumar, ... Journal of Pharmaceutical Research International 33 (35A), 26-33 , 2021 2021.0 Citations: 1
An analysis of arches of foot: A comparison between ink foot print method and custom made podoscope device method K Vijayakumar, R Subramanian, S Senthilkumar, D Dineshkumar Journal of Pharmaceutical Research International 33 (34B), 249-256 , 2021 2021.0 Citations: 4
An analysis of arches of the foot: Grading the severity of pesplanus and pescavus using a newly designed podoscope and parameters K Vijayakumar, S Senthilkumar, SG Chandratre, V Bharambe Journal of the Anatomical Society of India 70 (2), 85-92 , 2021 2021.0 Citations: 3
Effects of Therapeutic Weight Loss Exercises on Obese Indivduals with Genu Valgum Deformity K Vijayakumar, D Dineshkumar Indian Journal of Public Health Research & Development 11 (9), 184-89 , 2020 2020.0 Citations: 4
Analyzing the effects of exercise prescribed based on health-related fitness assessment among different somatotypes V Kathirgamam, M Ambike, R Bokan, V Bharambe, A Prasad Journal of Health Sciences 10 (1), 83-89 , 2020 2020.0 Citations: 8
THE EFFICACY OF GLYCATED ALBUMIN IN DIAGNOSIS OF TYPE 2 DIABETES AMONG INDIAN CHILDREN AND YOUNG ADOLESCENTS.” VKBK Kondaveeti, Suresh Babu, Vijayakumar Kathirmagam, Randhir Kumar Pandey ... Journal of critical reviews , 2020 2020.0
Preparation of Wet Specimens in Anatomy Museum: A Practical Approach to Overcome Difficulties K Vijayakumar, R Bokan, MA VaishalyBharambe, VKA Prasad International Journal of Medical Science and Innovative Research 5 (1), 179-188 , 2020 2020.0 Citations: 2
Prevalence of flexible flatfoot (FFT) and rigid flatfoot (RFT) in relation with tightness of Achilles tendon and weakness of tibialis posterior tendon among the individuals of … K Vijayakumar, SS Kumar Indian Journal of Physiotherapy & Occupational Therapy 11, 210-215 , 2017 2017.0 Citations: 5
A study on relationship between BMI and prevalence of flat foot among the adults using foot print parameters K Vijayakumar, S Senthilkumar, R Subramanian Int. J. Adv. Res 4 (5), 1428-1431 , 2016 2016.0 Citations: 16
Morphometric analysis of ankle and foot in classical bharathanatyam dancers using foot posture index (FPI) and plantar scan images (PSI) K Vijayakumar, S Senthilkumar IOSR Journal of Dental and Medical Sciences 15 (5), 20-5 , 2016 2016.0 Citations: 13
Implementation of New Competency Based Medical Education in India–Are We Ready to (for) Change? VA Mandar, K Vijayakumar, RB Raju, VK Arunprasad, K Vaishaly
MOST CITED SCHOLAR PUBLICATIONS
A study on relationship between BMI and prevalence of flat foot among the adults using foot print parameters K Vijayakumar, S Senthilkumar, R Subramanian Int. J. Adv. Res 4 (5), 1428-1431 , 2016 2016.0 Citations: 16
Morphometric analysis of ankle and foot in classical bharathanatyam dancers using foot posture index (FPI) and plantar scan images (PSI) K Vijayakumar, S Senthilkumar IOSR Journal of Dental and Medical Sciences 15 (5), 20-5 , 2016 2016.0 Citations: 13
Analyzing the effects of exercise prescribed based on health-related fitness assessment among different somatotypes V Kathirgamam, M Ambike, R Bokan, V Bharambe, A Prasad Journal of Health Sciences 10 (1), 83-89 , 2020 2020.0 Citations: 8
Prevalence of flexible flatfoot (FFT) and rigid flatfoot (RFT) in relation with tightness of Achilles tendon and weakness of tibialis posterior tendon among the individuals of … K Vijayakumar, SS Kumar Indian Journal of Physiotherapy & Occupational Therapy 11, 210-215 , 2017 2017.0 Citations: 5
An analysis of arches of foot: A comparison between ink foot print method and custom made podoscope device method K Vijayakumar, R Subramanian, S Senthilkumar, D Dineshkumar Journal of Pharmaceutical Research International 33 (34B), 249-256 , 2021 2021.0 Citations: 4
Effects of Therapeutic Weight Loss Exercises on Obese Indivduals with Genu Valgum Deformity K Vijayakumar, D Dineshkumar Indian Journal of Public Health Research & Development 11 (9), 184-89 , 2020 2020.0 Citations: 4
Implementation of Case-Based Learning in 1st-Year MBBS Students-Future of Medical Professionals Learning Methods in Indian Medical Colleges? MV Ambike, JS Kharche, SS Kulkarni, TV Sagar, K Vijayakumar, ... Journal of Pharmacy and Bioallied Sciences 16 (Suppl 4), S3449-S3451 , 2024 2024.0 Citations: 3
Effects of Kegel and General Fitness Exercises in Reducing the Severity of Urinary Incontinence-An Interventional Study. K Vijayakumar, DKS Dixit, S SunDaraSamy Journal of Clinical & Diagnostic Research 17 (7) , 2023 2023.0 Citations: 3
Effects of Therapeutic Weight Loss Exercises on Obese Individuals with Lumbar Hyperlordosis (LHL) and Excessive Anterior Pelvic Tilt (EAPT) K Vijayakumar, S Senthilkumar, D Dineshkumar Journal of Pharmaceutical Research International 33 (43A), 138-142 , 2021 2021.0 Citations: 3
An analysis of arches of the foot: Grading the severity of pesplanus and pescavus using a newly designed podoscope and parameters K Vijayakumar, S Senthilkumar, SG Chandratre, V Bharambe Journal of the Anatomical Society of India 70 (2), 85-92 , 2021 2021.0 Citations: 3
Preparation of Wet Specimens in Anatomy Museum: A Practical Approach to Overcome Difficulties K Vijayakumar, R Bokan, MA VaishalyBharambe, VKA Prasad International Journal of Medical Science and Innovative Research 5 (1), 179-188 , 2020 2020.0 Citations: 2
A descriptive cross-sectional study to assess knowledge regarding brain death among health professionals in India VK Bharambe, K Vijayakumar, VK Arunprasad, S Methepatil, S Jadhav, ... Indian Journal of Transplantation 17 (1), 55-60 , 2023 2023.0 Citations: 1
Effects of Kegels Exercises and Fitness Exercises in Improving the Stress, Urge or Mixed Urinary Incontinence (UI) Among the Elderly Seniors Using an Adult Urinary Diaper Pad … K Vijayakumar, SB Kondaveeti, S Chandratre, D Dineshkumar, ... Journal of Pharmaceutical Research International 33 (35A), 26-33 , 2021 2021.0 Citations: 1
The Efficacy Of Online Physiotherapy Management In Improving Mental And Physical Health Among The Patients With Covid – 19. AR S. Vijayakumar, K.Vijayakumar IOSR Journal of Dental and Medical Sciences (IOSR-JDMS) 23 (2), 48 , 2024 2024.0
Acetone Reclamation: An Affordable and Practical Approach to Recycle Impure Acetone from Plastination K. Vijayakumar, S. Vijayakumar, M. Haripriya Int J Anat Res. 12 (1), 8815 , 2024 2024.0
An Analysis of Foot Morphology Using a Self-Designed Foot Scanner in Preparing Custom-Made Footwear: An Anatomical Approach. K. Vijayakumar,T. Vijayasagar, Pal P Int J Anat Res. 11 (3), 8699 , 2023 2023.0
Comparative Morphological and Morphometrical Analysis of Atrio-Ventricular Valves of Human and Porcine. MN Supadevi S, Vijaykumar K, Supasakthi S Int J Anat Res. 11 (1), 8559 , 2023 2023.0
A Cost-Effective Novel Method of Preparing Plastinated Specimens of Brain K Vijayakumar, M Ambike, D Dixit Int J Anat Res 11 (2), 8640-44 , 2023 2023.0
THE EFFICACY OF GLYCATED ALBUMIN IN DIAGNOSIS OF TYPE 2 DIABETES AMONG INDIAN CHILDREN AND YOUNG ADOLESCENTS.” VKBK Kondaveeti, Suresh Babu, Vijayakumar Kathirmagam, Randhir Kumar Pandey ... Journal of critical reviews , 2020 2020.0
Implementation of New Competency Based Medical Education in India–Are We Ready to (for) Change? VA Mandar, K Vijayakumar, RB Raju, VK Arunprasad, K Vaishaly
