i-manager Publications

i-manager's Journal on Future Engineering and Technology (JFET)

Current Issue Vol. 20 Issue 1

Biomaterial Strategies for Immune System Enhancement and Tissue Healing
Qualitative and Quantitative Performance Optimization of Simple Gas Turbine Power Plant using Three Different Types of Fuel
Efficient Shopping: RFID-Powered Cart with Automated Billing System
Medical Drone System for Automated External Defibrillator Shock Delivery for Cardiac Arrest Patients
A Critical Review on Biodiesel Production, Process Parameters, Properties, Comparison and Challenges
Review on Deep Learning Based Image Segmentation for Brain Tumor Detection

Most Cited

Volume 19 Issue 3 April - June 2024

Research Paper

Improved Immunotherapy Techniques using Nano Technology to Treat Targeted Cancer

N. Aparna* , M. Kriya Sakthi, S. Atheena Milagi Pandian, Rashika Murugan, N. Sri Manoj Kumar

*-***** Atheenapandian Private Limited, Tamilnadu, India.

Aparna, N., Sakthi, M. K., Pandian, S. A. M., Murugan, R., and Kumar, N. S. M. (2024). Improved Immunotherapy Techniques using Nano Technology to Treat Targeted Cancer. i-manager’s Journal on Future Engineering & Technology, 19(3), 1-9. https://doi.org/10.26634/jfet.19.3.20548

Abstract

Immunotherapy, a promising cancer treatment method, faces challenges such as off-target effects and limited efficacy. Researchers are utilizing nanotechnology to enhance the accuracy and effectiveness of immunotherapy. In a clinical trial, nanoparticles were used to directly carry immunomodulatory drugs to tumor locations, enhancing cytotoxic T cell activation and preventing tumor growth. Patients receiving nanoparticle-enhanced immunotherapy experienced longer progression-free survival times and higher response rates than those receiving standard immunotherapy alone. This study demonstrates how nanotechnology is revolutionizing immunotherapy approaches for focused cancer treatment.

References

[1]. Bobo, D., Robinson, K. J., Islam, J., Thurecht, K. J., & Corrie, S. R. (2016). Nanoparticle-based medicines: A review of FDA-approved materials and clinical trials to date. Pharmaceutical Research, 33, 2373-2387.

[2]. Chen, D. S., & Mellman, I. (2013). Oncology meets immunology: The cancer-immunity cycle. Immunity, 39(1), 1-10.

[3]. Hodi, F. S., O'day, S. J., McDermott, D. F., Weber, R. W., Sosman, J. A., Haanen, J. B., & Urba, W. J. (2010). Improved survival with ipilimumab in patients with metastatic melanoma. New England Journal of Medicine, 363(8), 711-723.

[4]. Irvine, D. J., & Dane, E. L. (2020). Enhancing cancer immunotherapy with nanomedicine. Nature Reviews Immunology, 20(5), 321-334.

[5]. June, C. H., O'Connor, R. S., Kawalekar, O. U., Ghassemi, S., & Milone, M. C. (2018). CAR T cell immunotherapy for human cancer. Science, 359(6382), 1361-1365.

[6]. Li, S. D., & Huang, L. (2008). Pharmacokinetics and biodistribution of nanoparticles. Molecular Pharmaceutics, 5(4), 496-504.

[7]. Matsumura, Y., & Maeda, H. (1986). A new concept f or macromolecular therapeutics i n cancer chemotherapy: Mechanism of tumoritropic accumulation of proteins and the antitumor agent smancs. Cancer Research, 46(12_Part_1), 6387-6392.

[8]. Maude, S. L., Frey, N., Shaw, P. A., Aplenc, R., Barrett, D. M., Bunin, N. J., & Grupp, S. A. (2014). Chimeric antigen receptor T cells for sustained remissions in leukemia. New England Journal of Medicine, 371(16), 1507-1517.

[9]. Mellman, I., Coukos, G., & Dranoff, G. (2011). Cancer immunotherapy comes of age. Nature, 480(7378), 480- 489.

[10]. Peer, D., Karp, J. M., Hong, S., Farokhzad, O. C., Margalit, R., & Langer, R. (2020). Nanocarriers as an emerging platform for cancer therapy. Nano-Enabled Medical Applications, 61-91.

[11]. Ribas, A., & Wolchok, J. D. (2018). Cancer immunotherapy using checkpoint blockade. Science, 359(6382), 1350-1355.

[12]. Topalian, S. L., Hodi, F. S., Brahmer, J. R., Gettinger, S. N., Smith, D. C., McDermott, D. F., & Sznol, M. (2012). Safety, activity, and immune correlates of anti–PD-1 antibody in cancer. New England Journal of Medicine, 366(26), 2443-2454.

[13]. Wilhelm, S., Tavares, A. J., Dai, Q., Ohta, S., Audet, J., Dvorak, H. F., & Chan, W. C. (2016). Analysis of nanoparticle delivery to tumours. Nature Reviews Materials, 1(5), 1-12.

[14]. Zhang, C., Wang, W., Liu, T., Wu, Y., Guo, H., Wang, P., & Yuan, Z. (2012). Doxorubicin-loaded glycyrrhetinic acid-modified alginate nanoparticles for liver tumor chemotherapy. Biomaterials, 33(7), 2187-2196.

[15]. Zhang, L., Gu, F. X., Chan, J. M., Wang, A. Z., Langer, R. S., & Farokhzad, O. C. (2008). Nanoparticles in medicine: Therapeutic applications and developments. Clinical Pharmacology & Therapeutics, 83(5), 761-769.

Full Article (HTML)

Pdf

Research Paper

Intelligent Safety Life Jacket using LoRa Technology

Renusha K.* , Sindhumathy S., Sujitha S.*, Udhayasuriya B.****

*-**** Department of Biomedical Engineering, Gnanamani College of Technology, Namakkal, Tamil Nadu, India.

Renusha, K., Sindhumathy, S., Sujitha, S., and Udhayasuriya, B. (2024). Intelligent Safety Life Jacket using LoRa Technology. i-manager’s Journal on Future Engineering & Technology, 19(3), 10-16. https://doi.org/10.26634/jfet.19.3.20595

Abstract

This paper introduces an intelligent safety life jacket enhanced with Long Range (LoRa) technology to address the pressing need for improved water safety measures. The proposed life jacket integrates cutting-edge features to offer a comprehensive safety solution for both recreational users and professionals in aquatic environments. Key functionalities include automatic inflation upon immersion, GPS-based location tracking, and real-time monitoring of vital signs through embedded biometric sensors. Leveraging LoRa technology enables the life jacket to transmit distress signals over extended distances, facilitating swift and precise rescue operations. Additionally, machine learning algorithms are employed to analyze sensor data, enabling the detection of potential emergencies such as sudden immersion or irregularities in vital signs. This proactive approach enhances safety by enabling early intervention and accident prevention. Overall, the integration of intelligent features with LoRa technology represents a significant advancement in water safety, with the potential to save lives and elevate safety standards in aquatic activities worldwide. These capabilities are also applicable to water accident scenarios where individuals immersed in cold water face similar risks of hypothermia, and this device could provide crucial monitoring and alert capabilities in such situations.

References

[1]. Abiodun, A. S., Anisi, M. H., & Khan, M. K. (2019). Cloud-based wireless body area networks: Managing data for better health care. IEEE Consumer Electronics Magazine, 8(3), 55-59.

[2]. Ali, A., Ming, Y., Chakraborty, S., & Iram, S. (2017). A comprehensive survey on real-time applications of WSN. Future Internet, 9(4), 77.

[3]. Apriliansyah, B. A., & Iqbal, M. (2024). LoRa based long-range traceable life jacket system design. In BIO Web of Conferences, 106, 01003. EDP Sciences.

[4]. Cojocaru, V., & Vrabii, D. (2017, June). Simulations of the effect of the cooling elements' temperature on the hypothermia efficiency. In 2017 E- Health and Bioengineering Conference (EHB) (pp. 13-16). IEEE.

[5]. Dehda, P. S., Jayram, S., Abu-Mahfouz, A. M., & Ouahada, K. (2019, August). A sea rescue operation system based on LoRa. In 2019 International Conference on Advances in Big Data, Computing and Data Communication Systems (icABCD) (pp. 1-6). IEEE.

[6]. González, F. C. J., Villegas, O. O. V., Ramírez, D. E. T., Sánchez, V. G. C., & Domínguez, H. O. (2014). Smart multi- level tool for remote patient monitoring based on a wireless sensor network and mobile augmented reality. Sensors, 14(9), 17212-17234.

[7]. Moore, G. K., & Semple, J. L. (2012). A tale of two climbers: Hypothermia, death, and survival on Mount Everest. High Altitude Medicine & Biology, 13(1), 51-56.

[8]. Nirmaladevi, P., Gandhirajan, T., Dineshkumar, R., & Gobinath, T. (2024, March). Smart jacket for health monitoring of climbers using LoRaWAN technology. In 2024 2nd International Conference on Artificial Intelligence and Machine Learning Applications Theme: Healthcare and Internet of Things (AIMLA) (pp. 1-7). IEEE.

[9]. Savaglio, C., Pace, P., Aloi, G., Liotta, A., & Fortino, G. (2019). Lightweight reinforcement learning for energy efficient communications in wireless sensor networks. IEEE Access, 7, 29355-29364.

Full Article (HTML)

Pdf

Research Paper

Impacts of New Printing Technology on Old Conventional Technologies

Mike FM Chungu*

Ministry of Agriculture, Lilongwe, Malawi.

Chungu, M. F. (2024). Impacts of New Printing Technology on Old Conventional Technologies. i-manager’s Journal on Future Engineering & Technology, 19(3), 17-22. https://doi.org/10.26634/jfet.19.3.20679

Abstract

The movable type printing press was the signal innovation in early modern information technology, but economists have found no evidence of its impact on measures of aggregate productivity or income per person. This paper examines the impact technological advancement has brought to the printing industry. The printing industry has witnessed drastic changes in the machines used in this industry, such as automation and the elimination of other processes previously done. Additionally, it explores how the emergence of electronic media has affected the production of print media, leading to a decline in print media production. New technologies have benefited printing companies by reducing expenditures through the employment of fewer staff, but this also minimizes job opportunities in the printing industry. The paper also investigates whether printing companies and printers are satisfied with the new technologies being introduced.

References

[1]. Bolter, J. D. (2001). Writing Space: Computers, Hypertext, and the Remediation of Print. Routledge.

[2]. Dittmar, J. (2009). Ideas, technology, and economic change: The impact of the printing press. Science (pp. 1- 49).

[3]. Eisenstein, E. L. (1980). The Printing Press as an Agent of Change (Vol. 1). Cambridge University Press.

[4]. Harrison, C. (2007). The printed picture in the Renaissance. Making Renaissance Art, 1, 211-247.

[5]. Jensen, C. (2001). Review of the Printing Revolution in Early Modern Europe. LORE: Rhetoric, Writing, Culture.

[6]. Jones, B. (2000). Manuscripts, Books, and Maps: The Printing Press and a Changing World.

[7]. Kipphan, H. (Ed.). (2001). Handbook of Print Media: Technologies and Production Methods. Springer Science & Business Media.

[8]. McLuhan, M., Gordon, W. T., Lamberti, E., & Scheffel- Dunand, D. (2011). The Gutenberg Galaxy: The Making of Typographic Man. University of Toronto Press.

[9]. The Jakarta Post. (2012). Newspapers to Survive until 2043: Antara.

Full Article (HTML)

Pdf

Review Paper

The Influence of Biomedical Engineering in India

Atheena Milagi Pandian S.* , Rashika Murugan, M. Sudherson*, S. Mohammed Sahil****

*-**** Atheenapandian Private Limited, Tamil Nadu, India.

Pandian, S. A. M., Murugan, R., Sudherson, M., and Sahil, S. M. (2024). The Influence of Biomedical Engineering in India. i-manager’s Journal on Future Engineering & Technology, 19(3), 23-32. https://doi.org/10.26634/jfet.19.3.20549

Abstract

This comprehensive analysis delves into various crucial facets of biomedical engineering, covering cutting-edge technologies, creative methodologies, and ethical dilemmas. Quality Management Systems (QMS) play a pivotal role in maintaining precision, safety, and efficacy in lab experiments and biomedical product development, ensuring adherence to strict quality standards through guidelines like Good Laboratory Practice (GLP) and Good Manufacturing Practice (GMP). Advancements in medical imaging, from X-ray CT to molecular imaging, are revolutionizing disease diagnosis and treatment across multiple medical fields. Biomaterials and tissue engineering hold immense potential in regenerative medicine, addressing challenges like immune rejection and implant wear to meet diverse healthcare needs. Biomechanics and rehabilitation engineering merge biomechanical principles with assistive technologies to empower individuals with disabilities and improve their daily autonomy. Biomedical sensors, devices, and nanotechnology are driving personalized healthcare solutions, enhancing disease management through wearable and implantable technologies. Regulatory policies in India underscore the importance of strict regulations for medical devices and therapeutics to ensure safety and efficacy. Overall, this review highlights the transformative impact of biomedical engineering on healthcare advancements and societal well-being through responsible innovation and ethical practices.

References

[1]. Ajmal, L., Ajmal, S., Ajmal, M., & Nawaz, G. (2023). Organ Regeneration through stem cells and tissue engineering. Cureus, 15(1), 1-8.

[2]. Alfian, G., Syafrudin, M., Ijaz, M. F., Syaekhoni, M. A., Fitriyani, N. L., & Rhee, J. (2018). A personalized healthcare monitoring system for diabetic patients by utilizing BLE-based sensors and real-time data processing. Sensors, 18(7), 2183.

[3]. Brown, J. H. U. (1975). The biomedical engineer and the health care system. IEEE Transactions on Biomedical Engineering, BME-22 (2), 95-100.

[4]. Brummel-Smith, K., & Dangiolo, M. (2009). Assistive technologies in the home. Clinics in Geriatric Medicine, 25(1), 61-77.

[5]. Cerutti, S. (2010). In the spotlight: Biomedical signal processing. IEEE Reviews in Biomedical Engineering, 3, 10-11.

[6]. Chakrabarty, A. M. (2002). Ethics in biomedical research: Practical considerations. The American Journal of Bioethics, 2(4), 53-54.

[7]. Cooper, R. A., Ding, D., Cooper, R., Wolf, E., Algood, D., Corfman, T., & Chaves, E. (2006). Rehabilitation engineering: An overview. Wiley Encyclopedia of Biomedical Engineering.

[8]. Cowan, R. E., Fregly, B. J., Boninger, M. L., Chan, L., Rodgers, M. M., & Reinkensmeyer, D. J. (2012). Recent trends in assistive technology for mobility. Journal of Neuroengineering and Rehabilitation, 9, 1-8.

[9]. Dewey, M., Bosserdt, M., Dodd, J. D., Thun, S., & Kressel, H. Y. (2019). Clinical imaging research: Higher evidence, global collaboration, improved reporting, and data sharing are the grand challenges. Radiology, 291(3), 547-552.

[10]. Endo, M. (2005). Recent progress in medical imaging technology. Systems and Computers in Japan, 36(3), 1-17.

[11]. Forrest, L. J., & Thrall, D. E. (1995). Oncologic applications of diagnostic imaging techniques. Veterinary Clinics of North America: Small Animal Practice, 25(1), 185-205.

[12]. Ghazanfar Ali Sahito, R., Sureshkumar, P., Sotiriadou, I., Perumal Srinivasan, S., Sabour, D., Hescheler, J., & Sachinidis, A. (2016). The potential application of biomaterials in cardiac stem cell therapy. Current Medicinal Chemistry, 23(6), 589-602.

[13]. Griffith, L. G., & Grodzinsky, A. J. (2001). Advances in biomedical engineering. Jama, 285(5), 556-561.

[14]. Jöchle, W. (1972). Biomedical engineering. Science, 177(4049), 562-563.

[15]. Kahalekar, S. G., Hamde, S. T., Chile, R. H., & Jamkar, R. G. (1995, February). Biomedical engineering education. In Proceedings of the First Regional Conference, IEEE Engineering in Medicine and Biology Society and 14th Conference of the Biomedical Engineering Society of India. An International Meet (pp. 2-95). IEEE.

[16]. Keidar, Z., Israel, O., & Krausz, Y. (2003, July). SPECT/CT in tumor imaging: Technical aspects and clinical applications. In Seminars in Nuclear Medicine, 33 (3), 205-218. WB Saunders.

[17]. Kondraske, G. V. (1988). Rehabilitation engineering: Towards a systematic process. IEEE Engineering in Medicine and Biology Magazine, 7(3), 11-15.

[18]. Koydemir, H. C., & Ozcan, A. (2018). Wearable and implantable sensors for biomedical applications. Annual Review of Analytical Chemistry, 11, 127-146.

[19]. Krishnan, S., & Athavale, Y. (2018). Trends in biomedical signal feature extraction. Biomedical Signal Processing and Control, 43, 41-63.

[20]. Langer, S. G. (2011). Challenges for data storage in medical imaging research. Journal of Digital Imaging, 24, 203-207.

[21]. Louis, A. K. (1992). Medical imaging: State of the art and future development. Inverse Problems, 8(5), 709.

[22]. Mallidi, S., Luke, G. P., & Emelianov, S. (2011). Photoacoustic imaging in cancer detection, diagnosis, and treatment guidance. Trends in Biotechnology, 29(5), 213-221.

[23]. Mukhopadhyay, S. C. (2014). Wearable sensors for human activity monitoring: A review. IEEE Sensors Journal, 15(3), 1321-1330.

[24]. Negrini, N. C., Volponi, A. A., Higgins, C. A., Sharpe, P. T., & Celiz, A. D. (2021). Scaffold-based developmental tissue engineering strategies for ectodermal organ regeneration. Materials Today Bio, 10, 100107.

[25]. Patra, J. K., Das, G., Fraceto, L. F., Campos, E. V. R., Rodriguez-Torres, M. D. P., Acosta-Torres, L. S., & Shin, H. S. (2018). Nano based drug delivery systems: Recent developments and future prospects. Journal of Nanobiotechnology, 16, 1-33.

[26]. Shah, A. R., & Goyal, R. K. (2008). Current status of the regulation for medical devices. Indian Journal of Pharmaceutical Sciences, 70(6), 695.

[27]. Suh, H. (1998). Recent advances in biomaterials. Yonsei Medical Journal, 39(2), 87-96.

[28]. Wang, L., Wu, S., Cao, G., Fan, Y., Dunne, N., & Li, X. (2019). Biomechanical studies on biomaterial degradation and co-cultured cells: Mechanisms, potential applications, challenges and prospects. Journal of Materials Chemistry B, 7(47), 7439-7459.

[29]. Wei, G., & Ma, P. X. (2008). Nanostructured biomaterials for regeneration. Advanced Functional Materials, 18(22), 3568-3582.

[30]. West, J. L., & Halas, N. J. (2003). Engineered nanomaterials for biophotonics applications: Improving sensing, imaging, and therapeutics. Annual Review of Biomedical Engineering, 5(1), 285-292.

[31]. Wolbarst, A. B., & Hendee, W. R. (2006). Evolving and experimental technologies in medical imaging. Radiology, 238(1), 16-39.

[32]. Yadav, S., & Gangwar, S. (2018, August). An Overview on recent progresses and future perspective of biomaterials. In IOP Conference Series: Materials Science and Engineering, 404 (1), 012013. IOP Publishing.

Full Article (HTML)

Pdf

Review Paper

Utilizing Bioinformatics Tools for Analyzing High-Throughput Data in Biomedical Research

Atheena Milagi Pandian S.* , Rashika Murugan, N. Sri Manoj Kumar, N. Aparna, M. Kriya Sakthi

*-***** Atheenapandian Private Limited Coimbatore, Tamil Nadu, India.

Pandian, S. A. M., Murugan, R., Kumar, N. S. M., Aparna, N., and Sakthi, M. K. (2024). Utilizing Bioinformatics Tools for Analyzing High-Throughput Data in Biomedical Research. i-manager’s Journal on Future Engineering & Technology, 19(3), 33-40. https://doi.org/10.26634/jfet.19.3.20561

Abstract

Bioinformatics has become crucial in biomedical research, enabling the processing of massive volumes of high- throughput data generated by various omics technologies. This work investigates the use of bioinformatics tools to process, analyze, and interpret omics data, including genomics, transcriptomics, proteomics, and metabolomics. It provides an overview of widely used bioinformatics methodologies and algorithms for data preparation, quality control, differential expression analysis, pathway analysis, and functional annotation. The study also highlights current trends and challenges in bioinformatics, such as integrating multi-omics data and developing machine learning algorithms for predictive modeling. This work aims to encourage academics to utilize bioinformatics methods to gain insights into complex biological systems and enhance our understanding of human health and disease.

References

[1]. Calabrese, B. (2019). Cloud-based bioinformatics tools. Encyclopedia of Bioinformatics and Computational Biology, 1, 257–260. Elsevier.

[2]. Can, T. (2014). Introduction to bioinformatics. miRNomics: MicroRNA Biology And Computational Analysis (pp. 51-71).

[3]. Cremin, C. J., Dash, S., & Huang, X. (2022). Big data: Historic advances and emerging trends in biomedical research. Current Research in Biotechnology, 4, 138-151.

[4]. Duda, K. J., Ching, R. W., Jerabek, L., Shukeir, N., Erikson, G., Engist, B., & Jenuwein, T. (2021). m6A RNA methylation of major satellite repeat transcripts facilitates chromatin association and RNA: DNA hybrid formation in mouse heterochromatin. Nucleic Acids Research, 49(10), 5568-5587.

[5]. Gurcan, F., & Cagiltay, N. E. (2022). Exploratory analysis of topic interests and their evolution in bioinformatics research using semantic text mining and probabilistic topic modeling. IEEE Access, 10, 31480- 31493.

[6]. Luo, J., Wu, M., Gopukumar, D., & Zhao, Y. (2016). Big data application in biomedical research and health care: A literature review. Biomedical Informatics Insights, 8, BII-S31559.

[7]. Pandey, A., Stawiski, E. W., Durinck, S., Gowda, H., Goldstein, L. D., Barbhuiya, M. A., & Seshagiri, S. (2020). Integrated genomic analysis reveals mutated ELF3 as a potential gallbladder cancer vaccine candidate. Nature Communications, 11(1), 4225.

[8]. Pereira, R., Oliveira, J., & Sousa, M. (2020). Bioinformatics and computational tools for next- generation sequencing analysis in clinical genetics. Journal of Clinical Medicine, 9(1), 132.

[9]. Ray, B., Henaff, M., Ma, S., Efstathiadis, E., Peskin, E. R., Picone, M., & Statnikov, A. (2014). Information content and analysis methods for multi-modal high-throughput biomedical data. Scientific Reports, 4(1), 4411.

[10]. Shen, B., Ma, J., Wang, J., & Wang, J. (2014). Biomedical informatics and computational biology for high-throughput data analysis. The Scientific World Journal, 2014, 1-2.

[11]. Teufel, A., Krupp, M., Weinmann, A., & Galle, P. R. (2006). Current bioinformatics tools in genomic biomedical research. International Journal of Molecular Medicine, 17(6), 967-973.

[12]. Tian, T., Chen, L., Ai, Y., & He, H. (2022). Selection of Candidate Genes Conferring blast resistance and heat tolerance in rice through integration of Meta-QTLs and RNA-Seq. Genes, 13(2), 224.

i-manager's Journal on Future Engineering and Technology (JFET)

Current Issue Vol. 20 Issue 1

Most Read

Most Cited

Volume 19 Issue 3 April - June 2024

Improved Immunotherapy Techniques using Nano Technology to Treat Targeted Cancer

N. Aparna* , M. Kriya Sakthi**, S. Atheena Milagi Pandian***, Rashika Murugan****, N. Sri Manoj Kumar*****

*-***** Atheenapandian Private Limited, Tamilnadu, India.

Aparna, N., Sakthi, M. K., Pandian, S. A. M., Murugan, R., and Kumar, N. S. M. (2024). Improved Immunotherapy Techniques using Nano Technology to Treat Targeted Cancer. i-manager’s Journal on Future Engineering & Technology, 19(3), 1-9. https://doi.org/10.26634/jfet.19.3.20548

Abstract

References

Full Article (HTML)

Pdf

Intelligent Safety Life Jacket using LoRa Technology

Renusha K.* , Sindhumathy S.**, Sujitha S.***, Udhayasuriya B.****

*-**** Department of Biomedical Engineering, Gnanamani College of Technology, Namakkal, Tamil Nadu, India.

Renusha, K., Sindhumathy, S., Sujitha, S., and Udhayasuriya, B. (2024). Intelligent Safety Life Jacket using LoRa Technology. i-manager’s Journal on Future Engineering & Technology, 19(3), 10-16. https://doi.org/10.26634/jfet.19.3.20595

Abstract

References

Full Article (HTML)

Pdf

Impacts of New Printing Technology on Old Conventional Technologies

Mike FM Chungu*

Ministry of Agriculture, Lilongwe, Malawi.

Chungu, M. F. (2024). Impacts of New Printing Technology on Old Conventional Technologies. i-manager’s Journal on Future Engineering & Technology, 19(3), 17-22. https://doi.org/10.26634/jfet.19.3.20679

Abstract

References

Full Article (HTML)

Pdf

The Influence of Biomedical Engineering in India

Atheena Milagi Pandian S.* , Rashika Murugan**, M. Sudherson***, S. Mohammed Sahil****

*-**** Atheenapandian Private Limited, Tamil Nadu, India.

Pandian, S. A. M., Murugan, R., Sudherson, M., and Sahil, S. M. (2024). The Influence of Biomedical Engineering in India. i-manager’s Journal on Future Engineering & Technology, 19(3), 23-32. https://doi.org/10.26634/jfet.19.3.20549

Abstract

References

Full Article (HTML)

Pdf

Utilizing Bioinformatics Tools for Analyzing High-Throughput Data in Biomedical Research

Atheena Milagi Pandian S.* , Rashika Murugan**, N. Sri Manoj Kumar***, N. Aparna****, M. Kriya Sakthi*****

*-***** Atheenapandian Private Limited Coimbatore, Tamil Nadu, India.

Pandian, S. A. M., Murugan, R., Kumar, N. S. M., Aparna, N., and Sakthi, M. K. (2024). Utilizing Bioinformatics Tools for Analyzing High-Throughput Data in Biomedical Research. i-manager’s Journal on Future Engineering & Technology, 19(3), 33-40. https://doi.org/10.26634/jfet.19.3.20561

Abstract

References

Full Article (HTML)

Pdf

N. Aparna* , M. Kriya Sakthi, S. Atheena Milagi Pandian, Rashika Murugan, N. Sri Manoj Kumar

Renusha K.* , Sindhumathy S., Sujitha S.*, Udhayasuriya B.****

Atheena Milagi Pandian S.* , Rashika Murugan, M. Sudherson*, S. Mohammed Sahil****

Atheena Milagi Pandian S.* , Rashika Murugan, N. Sri Manoj Kumar, N. Aparna, M. Kriya Sakthi